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Research ArticleArticles

The Impacts of Restricting Mobility of Skilled Service Workers

Evidence from Physicians

Kurt Lavetti, Carol Simon and William D. White
Journal of Human Resources, July 2020, 55 (3) 1025-1067; DOI: https://doi.org/10.3368/jhr.55.3.0617-8840R5
Kurt Lavetti
Kurt Lavetti is an Assistant Professor in the Department of Economics at Ohio State University. Carol Simon is a Senior Vice President at The Lewin Group. William D. White is a Professor Emeritus in the Department of Policy Analysis and Management at Cornell University.
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Carol Simon
Kurt Lavetti is an Assistant Professor in the Department of Economics at Ohio State University. Carol Simon is a Senior Vice President at The Lewin Group. William D. White is a Professor Emeritus in the Department of Policy Analysis and Management at Cornell University.
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William D. White
Kurt Lavetti is an Assistant Professor in the Department of Economics at Ohio State University. Carol Simon is a Senior Vice President at The Lewin Group. William D. White is a Professor Emeritus in the Department of Policy Analysis and Management at Cornell University.
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Abstract

Why do skilled services firms use noncompete agreements (NCAs), which prohibit workers from leaving firms and competing against them? We conduct a survey of physicians linking NCA use to labor-market outcomes and firm performance and show that by deterring poaching of patients NCAs increase the return to job tenure, with larger effects in states with more enforceable NCA laws. These effects are consistent with NCAs enabling practices to allocate clients to new physicians through intrafirm referrals, reducing a form of investment holdup. We discuss an array of supporting suggestive evidence, but also find NCAs provide some benefits by reducing job turnover.

JEL Classification
  • J60
  • J30
  • K31

I. Introduction

Firms that provide skilled services face unusual difficulty controlling their assets, the most valuable of which are often the relationships that exist between their workers and clients. While this problem is not unique, it is more severe for high-skilled service firms, where information asymmetries between clients and workers make search costly and generate loyalty. Skilled workers that leave a firm often have the ability to take clients with them to another firm. In this sense, a stock of loyal clients is similar to more traditional forms of human capital and may affect productivity and earnings. Consequently, the decision by a firm to refer clients to a worker, which has some chance of transferring loyalty to the worker, is comparable to the general human capital investment decision considered by Becker (1962). However, whereas Becker shows that workers will either explicitly or implicitly pay for such investments themselves, in many cases, such as medicine, there may be legal restrictions to writing a contract that even implicitly assigns a price to patient referrals.

Without the ability to price referrals, the firm may face an investment holdup problem. Consider the problem of a physician who owns a practice and employs other physicians. The firm owner has no direct control over the firm’s relationship assets and also cannot capitalize them. Even if an intrafirm client referral has the potential to increase total profits, the firm owner may not make the referral if the ex post returns to the investment are captured by the worker, as in the problem considered by Grossman and Hart (1986).1 While service firms may not be able to overcome this control problem directly, they can instead mitigate investment holdup problems using personnel policies to control the rights of the worker over a relationship asset.2

We examine how noncompete agreements (NCAs) can alleviate inefficiencies that may arise in service firms that cannot control their relationship assets in more conventional ways. The NCAs that we study are clauses of employment contracts that prevent workers from exiting a firm and then competing against it.3 The motivation for using NCAs is clear in many settings, such as firms that invest in technology they do not legally own, and the control of which may be affected by knowledge flows caused by job mobility (Fallick, Fleischman, and Rebitzer 2006; Gilson 1999). However, NCAs are also used frequently by high-skilled service firms that do not appear to invest in intellectual property, suggesting NCAs provide a different form of benefit in this setting. Although a growing literature in labor economics has studied the use and impacts of NCAs in a variety of employment settings, there is no previous research systematically documenting or studying their use in high-skilled service firms (Fallick, Fleischman, and Rebitzer 2006; Garmaise 2011; Shankar and Ghosh 2013; Gilson 1999; Marx, Strumsky, and Fleming 2009; Starr 2015; Starr, Prescott, and Bishara 2019).

The goal of our investigation is to answer the question: what motivates skilled service firms to impose NCAs? We consider several potential explanations. First, high-skilled service firms may use NCAs to prevent the poaching of clients. Second, firms could use NCAs to reduce costs associated with job turnover. Marx, Strumsky, and Fleming (2009) study a natural experiment in Michigan and find that laws permitting enforcement of NCAs reduce the job mobility of inventors by about 8 percent, suggesting that this channel could benefit firms more broadly. The third explanation, which is a frequent concern in the legal evaluation of NCAs (Bishara 2011) is that firms may use NCAs to create monopsony power. For example, workers who have signed NCAs may have less bargaining power in subsequent negotiations, potentially flattening their earnings profiles. However, it is not clear that this explanation alone would benefit firms in equilibrium unless workers were myopic or uninformed.

To provide intuition about the first explanation, we develop a theoretical model that demonstrates the potential for NCAs to alleviate investment holdup problems, allowing skilled-services firms to increase their productive efficiency. A unique feature of service providers is that a provider’s relationship with a client is a form of durable human capital. The impact of NCAs centers on whether this human capital associated with patient relationships is general or firm-specific. Becker (1962) defines general human capital investments as those that are “equally useful in many firms,” increasing the worker’s marginal product by the same extent in each firm. If patients were always willing to follow their doctor to a different practice within a geographic market, then patient relationships would be perfectly general human capital. In contrast, specific human capital investments increase productivity only in the firm making the investment and have no use in other firms. By preventing physicians from taking patients with them to another practice in the same geographic market,4 NCAs have the effect of converting patient relationships, which would otherwise be general human capital that increases productivity at many firms, into firm-specific capital by making the patient relationships worthless to the physician outside of the practice that imposes the NCA. Although the distinction between general or specific human capital relates in most settings to an inherent feature of the capital itself, NCAs create a unique problem by allowing firms to choose ex ante whether to make their subsequent investments in client relationships either specific or general.

There are several reasons why physician practices in particular may care about the distinction between general and specific human capital. If patient relationships were general, Becker (1962) shows that workers must pay for these investments, yet in the case of physician-patient relationships, this may be difficult to achieve. Legally, both explicit and implicit payments for patient referrals are often forbidden, as they violate anti-kickback laws in the United States and many other countries. To the extent that advertising is an important mechanism for recruiting patients, physicians in group practices rarely advertise their services as individuals, whereas advertisements for medical provider organizations are more common. Without extracting a payment for general human capital investments made by the firm, and without individual physicians making direct investments in recruiting patients, general human capital investments may be inefficiently low due to investment holdup problems. By converting general capital into firm-specific capital, NCAs offer firms a mechanism to overcome this investment holdup, leading firms to increase their investments in patient relationships. This problem is not unique to physician practices. Rebitzer and Taylor (2007) describe an alternative, but similar, personnel policy common in large law firms: up-or-out promotion contests, in which the winners of the contest are the residual claimants of the firm. This personnel policy can also mitigate investment holdups related to client relationships and may be an alternative personnel policy to NCAs where they are forbidden, as they are in the legal sector.

To empirically assess the potential explanations for the use of NCAs, we conducted a survey of 1,967 primary care physicians in five states (California, Georgia, Illinois, Pennsylvania, and Texas), with samples derived from the American Medical Association’s Physician Masterfile. A unique feature of our survey is that we observe which physicians have signed NCA agreements, in addition to panel data on earnings, incentive-based payments, firm financial performance, and patient vignette data that elicit diagnostic skill and knowledge of treatment best practices. We link the survey data to a legal database constructed by Bishara (2011) that quantifies the relative strength of enforceability of NCA laws across states, which we use in the analyses as a source of intensive-margin variation in the restrictiveness of NCAs.

Our primary empirical analyses focus on testing the hypothesis that physician practices use NCAs to prevent poaching and retain control over patient relationships. The literature on the effects of on-the-job human capital investments on earnings suggests that general human capital investments increase the rate of return to experience, while firm-specific investments increase the return to tenure (Becker 1962; Acemoglu and Pischke 1999). Since NCAs cause client relationships to become firm-specific human capital, under our hypothesis any associated increase in productivity should not be portable to other jobs, suggesting that any impact of NCAs on earnings growth should be attributed to larger returns to job tenure rather than experience. Using three years of longitudinal earnings data per physician, we estimate that NCAs increase the annual rate of earnings growth by an average of eight percentage points in each of the first four years of a job, with a cumulative effect of 35 percentage points after ten years on the job. Applying an adaptation of the two-step decomposition model of Topel (1991), we show that the difference in earnings growth associated with NCAs is caused by larger returns to job tenure, and NCAs have little impact on returns to experience. We test the conditional exogeneity of job mobility and find no evidence that this result is driven by correlations between the use of NCAs and unobserved practice characteristics, such as managerial ability or productivity. Moreover, we show that the magnitudes of these effects are larger in states that make the enforcement of NCAs easier, providing some reassurance that the patterns are driven by NCA policies as opposed to sorting on unobserved worker or firm characteristics.

We provide a range of suggestive evidence further supporting the conclusion that these earnings effects are not driven by selection into NCA contracts on unobservables. For example, we show that physician practices that use NCAs negotiate the same prices with private insurers, suggesting little difference in unobserved quality. In addition, our survey includes patient vignettes designed by clinical experts to elicit clinical knowledge, diagnostic skill, and treatment recommendations, and we show that these measures are all uncorrelated with NCA use. We also use a database from Hausman and Lavetti (2019) quantifying longitudinal variation in NCA laws in every state linked to a complete census of all physicians in the United States for 1996–2007 from the CMS MPIER file and show that physicians do not respond to changes in state NCA laws when choosing geographic locations, suggesting that the heterogeneity in earnings effects of NCAs is unlikely to be driven by geographic sorting.

Although the earnings models are our primary analyses, we make use of the rich information in the survey to offer several forms of corroborating supportive evidence. For example, we show that employed physician practices that use NCAs are able to retain more of their high-reimbursement patients with private or Medicare insurance and treat fewer uninsured or Medicaid patients. This contributes in part to physicians with NCAs generating 17 percent more revenue per hour of patient care. We also show that the structure of compensation is different in employment contracts containing NCAs, with stronger productivity-based incentives that counteract the potential decline in bargaining power associated with NCAs. These stylized descriptive statistics are presented only to enhance and clarify the interpretation of our main earnings results.

After finding evidence consistent with NCAs being used to reduce the risk of poaching, we evaluate whether reductions to job turnover also contribute to the benefits associated with using NCAs. Consistent with evidence from Marx, Strumsky, and Fleming (2009) and Fallick, Fleischman, and Rebitzer (2006), we find that physicians with NCAs have about 12 percent longer job spells, and we provide suggestive evidence that this effect does not appear to be entirely driven by selection into NCA contracts. However, combining our estimates of the impact of NCAs on job turnover with earnings effects, we conclude that if reductions in turnover were the only benefit associated with NCA use, firms would have to face hiring costs in excess of $650,000 per physician, nearly four years of average annual earnings, to justify the observed wage differentials. Although reductions in turnover may be one source of benefit to firms, this high implied hiring cost suggests turnover is unlikely to be the primary explanation why physician practices use NCAs.

The paper proceeds as follows: Section II provides background on the empirical setting and the nature of NCA contracts. Section III presents a theoretical model used to motivate our empirical hypotheses. Section IV describes the data used in the analyses. Section V discusses the empirical evidence and results. Section VI concludes and discusses policy implications.

II. Empirical Setting and Legal Background

A. Physician Practices

Although the questions we discuss apply generally to firms that provide high-skilled services, our empirical analyses focus on primary care physicians, including family medicine, general internal medicine, and pediatrics. Primary care physicians, which represent about 39 percent of practicing physicians in the United States, typically serve as the first point of contact for patients and as coordinators of their care. Consequently, they tend to have lasting relationships with their patients.

Physician practices are generally organized as either solo practices with one physician or as group practices with multiple physicians. In group practices, physicians may be either owners or employees. Group practices typically use compensation contracts that combine a fixed salary, an individual productivity component, and a firm profit component. This creates incentives for physicians who make referrals to keep patients within a practice whenever reasonable.5 Operating a group practice generally requires substantial investments in recruiting new physicians and in developing relationships with a stock of patients to maintain demand for the new physicians’ services. Accordingly, practices have strong incentives to protect these investments from competitive threats. This is also evident from the fact then when a practice is sold, the main factor determining the transaction price is often the stock of patients.

B. Noncompete Agreements

Our survey data provide the first known systematic documentation of how prevalent NCAs are among physicians—we find that about 45 percent of primary care physicians in group practices are bound by NCAs.6 Section V. A presents several important aspects of heterogeneity in the use of NCAs.

Whereas NCAs often restrict workers from joining another firm in the same industry, in service industries like healthcare that have geographic markets, NCAs are geographic in scope. Physician NCAs, for example, prevent a departing physician from practicing any medicine anywhere in an ex ante defined geographic area for a specified period of time. NCA restrictions without geographic limits are generally not enforceable for physicians, which allows physicians to continue to work in medicine without a career detour, but only if they move out of the local area and bear the associated costs. Although states differ in how large the defined geographic markets can be, examples of common market definitions used in NCAs involving physicians include the county containing the practice or a 20-mile radius around the practice. NCAs must also not be excessive in duration, and two to three years is often deemed reasonable. Some NCA contracts allow physicians to pay damages in lieu of leaving the market. For example, under an NCA recently upheld in Kansas, a family physician leaving a medical group was prohibited from practicing for three years in the same county as the group unless she paid the group 25 percent of her earnings during the period.7

As elements of labor contracts, NCAs are subject to review at the state level, and the ability to enforce NCAs is based on state case law and applicable statutes. Currently, NCAs are enforceable to at least some extent in every state except North Dakota. Thirty-nine states follow common law, while the remaining 11 states have passed specific legislation that guides the enforcement of NCAs.8 In common-law states, the precedent that determines enforceability of NCAs was generally shaped long before modern healthcare and insurance markets existed.9 The inertial nature of common law makes NCA laws slow to adapt to changing market conditions, although they do evolve somewhat over time (Bishara 2011).

While variation in the ability to enforce NCAs across states offers an opportunity for comparative analysis, a difficulty for empiricists has been finding a way to characterize this variation. Popular summaries of the enforcement of NCAs, such as Wilson (2006), broadly divide states into three groups: those where noncompetes are judged “unenforceable” (seven states), those where they are judged “enforceable” (36 states), and those where case law is judged uncertain (nine states). While this categorization has the appeal of being easy to apply, in practice issues of enforcement are much more nuanced then these summaries suggest.10 Recently, a much more careful and precise quantification system was developed by Bishara (2011). Based on legislation and case law in each state, Bishara (2011) scores the overall ability to enforce NCAs on a state-by-state basis along each of eight different dimensions. Our empirical analyses make use of these quantified restrictiveness scores, which we refer to as “Bishara Scores,” and Online Appendix Table A2 reports the questions and rules used in developing these scores.

C. Legal Constraints in Physician Compensation Contracts

One important stylized feature of physician labor markets is that there are many constraints on the factors that can be used to determine compensation. One constraint of particular importance is that accepting payments for patient referrals is not only viewed as unethical, it is per se illegal in the United States. Yet, in many other settings, commissions or bonuses for client referrals are both accepted and commonplace.

Specifically, the Ethics in Patient Referral Act of 1989 (and amendments made under the Comprehensive Physician Ownership and Referral Act of 1993) requires that “any amount paid by an employer to a physician. who has a bona fide employment relationship with the employer” must be “consistent with the fair market value of the services, and.not determined in a manner that takes into account (directly or indirectly) the volume or value of any referrals by the referring physician.…”(42 CFR § 411.357 (c)).11 The Code of Federal Regulations (42 CFR § 411.352 (g)) adds restrictions on compensation arrangements in practices that treat Medicare patients, requiring that “no physician who is a member of the group practice directly or indirectly receives compensation based on the volume or value of his or her referrals.”12 However, it is explicitly permitted to base compensation on a physician’s output or on the amount of revenue they generate, or to use per capita group profit sharing (Olson and Stanley 2004).

III. A Model of Service Firms with NCAs

Our goals in this section are (i) to articulate an example of a theoretical model in which physician practices value NCAs because they prevent patients from being poached and (ii) to use the predictions from the model to motivate the intuition behind our empirical analyses.

The model is simplified to include only necessary features for motivating our analyses and abstracts from potentially interesting extensions, such as the structure of firms or the role of physical capital. However, the model does incorporate important legal constraints discussed above in Section II.C by prohibiting compensation contracts that may potentially be interpreted as including an implicit or explicit purchase or sale of patient referrals. Without these features, which may be unique to medical professionals, the model could be adapted to generate different predictions in alternative settings.

A. Basic Model Setup

We consider a two-period model of a firm owned by a physician proprietor, indexed by a, who is endowed with P patients, which the physician can treat to generate revenue Embedded Image where f is assumed to satisfy: f(0) = 0, f(P) > 0, and f’(P) < 0. The strictly concave production function f can be interpreted as the monetary equivalent of the utility the owner would receive by treating the patients, net of any utility lost to providing the effort and time required to treat the patients.

Alternatively, the owner could hire a worker physician, indexed by w. In this case, the owner can choose to allocate (“refer”) Pw ≡ P – Pa patients to the worker, and the firm’s per-period profit is given by: Embedded Image where S is the cost of paying the worker’s salary. Since f is strictly concave, it is potentially advantageous for the owner to share the patients with the worker and pay the worker’s salary. However, any allocated patients Pw become loyal to the worker physician, who may then poach the patients.

The worker may exit the firm in the second period for two reasons. First, with probability (1 − ρ), the worker and firm exogenously separate, where 0 < ρ < 1. Second, if the worker can earn a higher salary in the outside competitive market, the worker will voluntarily exit. In either case the worker takes allocated patients with her. The outside option salary for a physician without any patients is denoted Embedded Image, and the outside option increases to Embedded Image for a worker with Pw > 0 loyal patients.

In order to prevent the worker from poaching patients in the second period, the owner may require the worker to agree to an NCA. If a worker signs an NCA and the job is then terminated for any reason, allocated patients are returned to the owner, and the worker must exit the geographic market. At the beginning of period 1, workers have heterogeneous geographic location preferences Rw, expressed in monetary units, which are distributed uniformly Embedded Image, and are private knowledge of the worker. Larger Rw values indicate high willingness to pay for staying in the geographic market, which increases the expected cost of signing an NCA. At the end of period 1, workers receive geographic preference shocks from a discrete uniform (Bernoulli) distribution Embedded Image. Therefore, the sum Embedded Image is a continuous uniform distribution. If Rw + ϵ is sufficiently negative, relative to earnings potential, workers may increase their utility by moving to a new geographic market.

The timing of events occurs as follows. At time zero, firms post take-it-or-leave-it offers that have three elements: (i) noncompete agreements {N, C}, where N corresponds to a contract with an NCA, and C to a contract without; (ii) first-period compensation, S1; and (iii) second-period compensation, S2. Workers observe all posted offers and choose jobs that maximize earnings S1 + S2, net of any expected relocation costs Embedded Image.13 Firm owners then make patient referral choices. Production occurs, workers and firms earn payoffs, and then exogenous separation draws ρ are realized. Workers then announce whether they wish to voluntarily exit the job.

Contractual commitments to allocate Pw are forbidden, and as discussed in Section II. C, compensation in each period must be based on fair market value and may not include an implicit purchase or sale of patient referrals. We impose this legal constraint by assuming a minimum salary Embedded Image in each period, which is consistent with fair market value and prevents workers from forgoing salary to implicitly purchase referrals.14

We begin the model by considering fixed salary compensation only, and allowing one-sided forward commitments by the firm to guarantee S2. We then consider an extension of the model in which future salary commitments have limited credibility—firms can guarantee not to cut earnings, but they may not credibly commit to guaranteed salary increases. These assumptions about contract structures play an important role, because once a worker has signed an NCA, their reservation salary decreases in the second period due to the cost of relocating.

Firms maximize the sum of expected profits over the two periods π1 + π2. Workers choose jobs that maximize two-period earnings net of expected relocation costs, Embedded Image.

Hedonic wage theory (Rosen 1974) says that the competitive market salary will be determined by the preferences of the marginal worker, who has a value of R* that makes them indifferent to accepting an NCA. Since we are interested in studying a mixed equilibrium, in which some jobs include NCAs and others do not, we assume that R is sufficiently large that some workers would never accept an NCA at any price that firms are willing to pay. The hedonic equilibrium is therefore characterized by a single worker with preferences R* that determines assignment to jobs: workers with Rw < R* sort into jobs with NCAs, and workers with Rw > R* sort into jobs without NCAs. For simplicity, we also assume that R* > e, which implies that workers who sort into jobs without NCAs will never choose to relocate (as long as their earnings do not decrease in period two.)

1. Earnings path and patient referrals without NCAs

If a contract does not include an NCA, the firm owner maximizes profits by solving: Embedded Image where Pa = P – Pw. The worker will accept the offer as long as Embedded Image.

Working backwards, in the second period the firm must offer the worker at least the outside option salary, S2 ≥ f(Pw), to prevent the worker from voluntarily exiting. This second period constraint captures the idea that once a worker controls patients Pw they bring more value to an outside firm, increasing output above the level that could be produced by a worker without patients, Embedded Image. Knowing this, the firm would ideally like to offer the bundle {S1, S2} at which the two-period participation constraint is binding, which implies Embedded Image. However, this contract requires the worker to implicitly pay the agent for the value of referrals, f(Pw), which the worker then recoups in the second period. In practice this contract would be illegal because physicians are prohibited from receiving explicit or implicit compensation for referrals. This prohibition on both overt and covert markets for patient referrals is fundamentally why NCAs can create value in this setting, offering protection against losing valuable assets for which there is no market.

To model this legal constraint, we assume the agent must offer the fair market salary, without accounting for the value of referrals: Embedded Image. Given this legal restriction, the initial participation constraint Embedded Image cannot bind with equality. When both the retention constraint and legal constraint bind: Embedded Image and S2 = f(Pw). The firm’s problem is then: Embedded Image

The FOC is Embedded Image

2. Earnings path and patient referrals with NCAs

Contracts that include NCAs are more complicated because the probability of separation may depend on earnings. The unconditional probability of separation is given by: Embedded Image

Note that Embedded Image

The firm’s profit maximization problem is: Embedded Image

When firms use NCAs there are no externalities between factors of production, patients, and labor. When the firm hires a worker, the firm’s referral decision is independent of wages that offered to recruit the worker. Therefore we can first solve the patient referral problem and then solve the profit maximizing salary offers.

Patient referrals are chosen by solving: Embedded Image

The FOC is: Embedded Image

This solution, along with the concavity of f, gives the first hypothesis of the model:

Hypothesis 1.

Physicians with NCAs will have more patients allocated to them by the practice owner: Embedded Image.

Notice that since NCAs allow firms to equitably distribute patients, the total output is greater even though all firms use the same inputs.

Corollary 1.

The more equitable distribution of clients made possible by NCAs increases the productive efficiency of firms.

Given this solution to the referral problem, firms choose salary offers by maximizing Embedded Image

Plugging in the formula for the probability of separation gives: Embedded Image subject to the legal constraint on minimum salaries, and the worker’s participation constraint: Embedded Image

The Kuhn–Tucker conditions are: Embedded Image

The FOCs with respect to S1 and S2, respectively, are Embedded Image 1 Embedded Image 2

As we show in the Online Appendix, the solution occurs when the participation constraint binds with equality, and the equilibrium earnings path is: Embedded Image

This result directly yields the hypothesis (see Online Appendix for proof):

Hypothesis 2.

Physicians with NCAs have greater within-job earnings growth.

Intuitively, total earnings growth can be expressed as the sum of returns to experience and returns to tenure. Physicians without NCAs have the same earnings growth regardless of whether they remain at the firm, so the return to tenure conditional on experience is zero. All of the earnings growth is caused by returns to experience. In contrast, if physicians with NCAs separate in the second period they earn S. Therefore there is zero earnings growth from increasing experience without also increasing tenure. All of the earnings growth occurs within jobs and is due to greater returns to job tenure.

Corollary 2.

The increase in within-job earnings growth associated with NCAs is due to larger returns to tenure, conditional on experience.

B. Contracting Frictions, Bargaining, and Earnings

A stylized fact of labor markets, however, is that forward commitments to guaranteed salary increases are rarely observed. If firms cannot credibly commit to a contract specifying a second-period salary, then NCAs create a bargaining problem. Once a worker has signed an NCA their bargaining position decreases in the second period, since the firm knows that the worker’s reservation wage has declined due to the cost of relocating. Without credible forward commitments, workers may demand front-loaded compensation in order to accept a job with an NCA. All else equal, this incentive may force the earnings path to be flatter than the profit-maximizing path derived above. Flattening the earnings path increases the probability of worker separations in the second period, and reduces welfare relative to the equilibrium with credible forward commitments.

Our goal in this section is to demonstrate that there exists an incentive compatible revenue-sharing contract in which the loss of ex post bargaining position due to NCAs does not cause distortions that flatten earnings paths, avoiding potential deadweight loss from excess turnover. The existence of such a contract suggests that when turnover is costly to firms, as is the case in the model presented above, then share-based contracts may be Pareto-improving relative to front-loaded or flat compensation paths.

To see this, suppose compensation structures may depend linearly on output: Embedded Image where α is the share of output that the worker keeps as compensation. A contract is now defined as (i) first-period compensation, M1, (ii) noncompete agreements {N, C}, and (iii) forward “sticky wage” commitments by the firm to not reduce S or a in the second period. The sticky wage commitment reflects the limited credibility of guaranteed future salary increases, but allows firms to credibly commit to not decreasing either compensation parameter.15

To pin down the intuition behind the model equilibrium, suppose there is a small amount of stochasticity in output. We also introduce an upward-sloping output function, by assuming that output grows in the second period at the rate δ > 1. Firms without NCAs have no compelling reason to use revenue-sharing contracts. Since the firm is risk-neutral, they will insure the worker against output shocks by offering the contract Embedded Image in period 1. The worker can then renegotiate the contract in the second period by threatening to separate, Embedded Image.

Workers with NCAs, however, cannot increase their compensation in the second period by threatening to exit, since the worker’s expected outside option yields a payoff of only Embedded Image. Anticipating that their bargaining position will decline in the second period, workers must negotiate an ex ante incentive-compatible contract with fixed compensation components { SN, αN}.

To gain intuition, suppose for simplicity that output shocks are very small, so the profit-maximizing equilibrium earnings path can be approximated by re-solving the model with log utility: Embedded Image subject to the legal constraint on minimum salaries and the worker’s participation constraint: Embedded Image

When Embedded Image, and the participation constraint binds, the profit maximizing earnings path is Embedded Image

Now, introducing revenue-sharing contracts, the equilibrium compensation contract {SN, αN} that matches this profit-maximizing earnings profile must satisfy: Embedded Image 4 Embedded Image 4

Equation 3 implies Embedded Image. Subtracting Equation 3 from 4 gives: Embedded Image

Notice that the RHS is strictly positive because of the earnings constraint Embedded Image.16 The LHS is also strictly positive since δ > 1. This implies αN > 0.

The economic intuition behind this result is straightforward. Although limited credibility constrains the set of contracts, this constraint can be overcome if the firm uses fixed revenue-sharing rates to match the profit-maximizing earnings path that would occur under perfect forward credibility. This equilibrium requires the existence of an upward-sloping function to which a can be tied; growing output, δ > 1, is one natural example of such a function. When this occurs, firms can bundle NCAs with revenue-sharing contracts, which allows compensation to increase along with output, without the need to renegotiate contract terms in the second period.

Hypothesis 3.

If long-term forward compensation contracts have limited credibility, and output grows over time, then firms that use NCAs can use share-based compensation contracts in which Embedded Image to achieve the same profit-maximizing earnings path that would occur under credible forward contracts.

In this simple model we abstract from explaining which firms choose to use NCAs, and the hedonic equilibrium is driven entirely by sorting on worker preferences. Of course, in a more realistic setting the decision by a firm to impose NCAs is unlikely to be random. For example, firms in geographic markets with fewer patients per physician (lower endowments of P per firm) may derive more benefits from protecting the marginal patient from being poached, increasing R*, and hence the fraction of employees with NCAs. Similarly, if production is augmented by a persistent productivity shifter τf(P), more productive firms may derive greater benefits from NCAs. Finally, if firms differ in hiring costs, higher cost firms may benefit more from NCAs. Although our theoretical discussion abstracts from many of these issues, appropriate interpretation of our empirical estimates depends on the extent to which potentially unobserved factors directly affect both the decision to use NCAs as well as the outcomes of interest in our hypotheses. In Section V we return to discuss these selection issues, and the conditions under which our parameter interpretations may be affected by selection.

C. Summary of Testable Hypotheses

The goal of our empirical analyses is to test for evidence that physician practices use NCAs to prevent patients from being poached, protecting firms’ investments in client relationships, which we model as intrafirm referral choices in the stylized model above. Our primary analyses test Hypothesis 2, that NCAs increase the rate of return to job tenure. We test this hypothesis by estimating the relationship between the use of NCAs and within-job earnings growth and decomposing the earnings growth differential into components due to experience and job tenure.

We also make use of several other predictions from the model to provide corroborating suggestive evidence. Hypothesis 1 is that firms that use NCAs allocate more patients to employed physicians. In the survey data, we are able to observe the distribution of patients to physicians. We test for evidence of disparities in the allocation of patients between employed physicians and those that have equity ownership in the firm. If NCAs reduce referral holdups, firms that use NCAs should have more balanced distributions of patient loads across physicians. In the medical context, however, all patients are not alike. Physicians who treat privately insured patients tend to receive higher reimbursements than those who treat Medicaid patients, for example. In addition to testing for overall disparities in the number of clients, we also examine heterogeneity in the allocation of clients by their source of insurance coverage.

Hypothesis 3 is that NCAs may be bundled with share-based compensation incentives to overcome the effects of changes in bargaining position. We use data on the fraction of earnings that come from incentive payments tied to individual production to provide stylized summary statistics on this hypothesis. We also empirically evaluate the alternative hypothesis that physician practices use NCAs solely to reduce job turnover.

IV. Data

Our empirical analyses rely primarily on two data sources. The first is a survey of physicians, which to our knowledge is the largest existing data set that contains microlevel information on the use of NCAs linked to labor-market outcomes. The second data set quantifies variation in state laws that govern the enforceability of NCAs.

A. Physician Survey

We use the Physician Perspectives on Patient Care Survey, which we conducted in 2007,17 using a sampling frame drawn from the American Medical Association (AMA) Masterfile. The population from which potential respondents were drawn included only primary care physicians (family practice, general practice, general internal medicine, and general pediatrics) in five states: California, Texas, Illinois, Georgia, and Pennsylvania. Using a state-based sample rather than a national survey permitted collection of larger samples from local market areas, and these states were chosen to be representative of a variety of practice environments, while being geographically diverse. The target population excluded residents, fellows, physicians not in clinical practice, and those over 70 years old. Pediatricians and minority physicians were oversampled.

The AMA database provides information on physician location and contact information, specialty and training, age, and race. Telephone calls verified contact information and whether sample physicians were providing patient care. A multimode (mail and web) self-administered survey was conducted. A packet was sent by Federal Express to a total of 2,831 physicians containing a mail survey accompanied by an advance letter, a prepaid business return envelope, and an honorarium check of $100. Physicians were given the option of responding by web. Followup was conducted for those physicians who did not respond, with separate followup with those who did not respond but cashed their checks. Altogether, a total of 1,967 usable responses were received, 216 (11 percent) of which were by web. The overall response rate was 69.8 percent.18

The survey questionnaire included detailed questions on the following topics: physician characteristics, practice characteristics, physician demographics, practice financial performance, physician earnings over several years, patient mix, practice administrative controls, average prices negotiated with insurance companies, and patient vignettes to elicit knowledge of clinical guidelines, diagnoses, and treatment recommendations.

One section of the survey that is key to the analyses includes income and revenue generated by each of the respondents. Although the survey was conducted at a point in time, respondents were asked about longitudinal variation in their earnings. This was done by asking for earnings levels in 2005, and then asking by what percentage their earnings differed from 2005 levels in 2006, and three years prior, in 2002. We use responses to these questions to estimate the rate of growth of earnings within jobs. We also observe the year in which each respondent completed medical school and the year in which they joined their current practice, from which we calculate potential experience (in medical care) and job tenure.

The survey also asks detailed questions about the structure of compensation for each worker. Specifically, it asks, “What percent of your 2005 earnings was paid as flat salary?”, “What percent of your 2005 earnings was based directly on fees-for-services you provided, or on your productivity?”, and “What percent of your 2005 earnings was in the form of pay-outs from withholds, practice bonuses, or other incentive payments, including pay-for-performance bonuses?” We use responses to these questions to estimate how NCAs are related to the use of share-based compensation structures.

Physicians were asked how many medical practices they worked in and their ownership status in their main practice. If they responded they were a sole-owner, the survey proceeded to questions about general practice characteristics. However, if the physician indicated that they were not a sole-owner, they were asked about their employment status and the following question regarding NCAs: “Were you to leave your (main) practice, would you be subject to a noncompete clause?”

A copy of the survey questionnaire containing the wording of all questions is included in the Online Appendix.

B. State NCA Laws

We use data from Bishara (2011) to measure the relative strength of enforceability of NCA laws across different states. The measure was created by analyzing case law in each state and comparing laws based on eight different dimensions. Each dimension was assigned a weight based on legal knowledge about the relative importance of the dimensions. The specific questions that define the eight dimensions, along with benchmarks for how states were scored and relative weights of each question, are included in Online Appendix Table A2. For example, one important dimension in which state laws differ is whether NCAs are still enforceable in the event that the employer makes the decision to terminate the relationship. In some states NCAs would still be enforceable, while in others NCAs apply only to voluntary separations made by workers.

We normalize the NCA enforceability measures by dividing by the maximum score (Florida, 470), to create a continuous measure between zero and one. Online Appendix Table A3 shows that there is substantial variation in the Bishara (2011) enforceability scores for the five states in our sample (CA, GA, IL, PA, TX), which are respectively ranked 50th, 43rd, 4th, 23nd, and 32rd in stringency of enforcement out of 50 states plus Washington, DC.

V. Empirical Analyses

We begin by describing stylized summary statistics from the survey data documenting the use of NCAs in physician group practices. We then present our main empirical models and corresponding estimates of the effect of NCAs on within-job earnings growth and the rate of return to tenure in Section V.B, followed by a variety of suggestive evidence consistent with the hypotheses from Section III. Section V.C documents the relationship between NCAs and job turnover, including back-of-the envelope calculations of minimum hiring costs practices would have to face to justify the estimated earnings differentials if turnover reductions were the sole source of benefits to practices from using NCAs. Section V.D presents several robustness analyses, including evidence against the threat of selection on unobservables, and potential correlations between state NCA enforceability laws and other state-level policies.

A. Summary Statistics on NCA Use

Table 1 reports the share of physicians with employment contracts that contain NCAs in each state in our sample. The use of NCAs varies substantially across states, ranging from 31.3 percent in California to 60.6 percent in Pennsylvania, with an average of 45.1 percent of all physicians in group practices in the sample subject to an NCA. This variation in usage is consistent with differences in enforceability—physicians are more likely to have contracts with NCAs if they work in states in which NCAs are more enforceable.

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Table 1

Percent of Respondents with NCAs, by State and Employment Status

NCAs are also used more frequently with physicians who are employees (49.2 percent) rather than part-owners (43.1 percent) of a practice. Part-owners have some deterrent to competing against their current practice because doing so could devalue their share of the practice’s equity, which may be a relatively illiquid investment.19

Given the lack of prior evidence documenting how prevalent NCAs are in physician groups, one may expect that NCAs are a relatively recent phenomenon in physician organizations. Table 2 suggests that this is not the case—the probability that physician in the sample is bound by an NCA is fairly stable across all levels of physician experience and practice tenure.

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Table 2

Percent of Employees with NCAs, by Potential Experience and Practice Tenure

Since understanding why practices differ in the use of NCAs requires first knowing what motivates practices to use NCAs, our main question of interest in this study, we begin by simply documenting summary statistics on the use of NCAs by practice type. Table 3 describes the heterogeneity in the percentage of physicians in group practices that are bound by NCAs.

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Table 3

Heterogeneity in Percentage of Physicians in Group Practices with NCAs

The first notable pattern in the table is that NCAs are quite common in every specialty, practice type, demographic group, and geographic market. There is relatively little variation across specialties within our sample of primary care physicians, ranging from 41 percent of physicians with two or more specialties to 46 percent for pediatric specialists. There is, however, some variation across practice settings, with 50 percent of office-based physicians having NCAs, compared to only 37 percent of physicians employed at hospitals or free-standing care centers. This pattern is consistent with the hypothesis that NCAs are more likely to be used in settings in which ongoing patient–doctor relationships are more valuable. The least likely group to have signed NCAs are physicians who are independent contractors.

The last group of summary statistics shows that there is relatively little variation in NCA use by demographics or by characteristics of the geographic market in which the practice is located. However, there is substantial variation in NCA use across states. In Online Appendix Table A8 we estimate the marginal effect of the Bishara Score on the probability of having an NCA, and show that state enforceability is strongly predictive of NCA use. An increase in enforceability from the least restrictive state (ND) to the most restrictive state (FL) is associated with a 32 percentage point increase in the probability that a physician will have an NCA. This suggests that firms consider state laws to be important factors in calculating the expected benefits to imposing NCAs. It is also worth noting that although employment-based NCAs are virtually unenforceable in California, we still find that 31 percent of physicians in group practices have signed them. This may suggest that some practices use NCAs simply as deterring threats, even when they are not enforceable.

B. Do Physician Practices Use NCAs to Deter Poaching?

We begin by estimating the impact of NCAs on earnings growth and the rate of return to job tenure. These analyses are based on Hypothesis 3 from Section III, which suggested that if practices were motivated by deterring exiting physicians from poaching patients, NCAs should increase the rate of return to tenure, indicative of an increase in firmspecific human capital investments. We use both extensive-margin variation in the use of NCAs and intensive-margin variation state-level NCA enforceability laws to show that NCAs increase the rate of return to tenure and that this effect appears to be driven by state NCA policies rather than selection. We also provide a variety of suggestive stylized summary statistics that are consistent with the other predictions from Section III, although our main results come from the longitudinal models of earnings differentials.

1. Main results: Within-job earnings growth

We estimate the impact of NCAs on the components of earnings growth using a two-step model similar to Topel (1991). The challenge of decomposing earnings growth is that there are several forms of potential endogeneity to consider. To see this, we first consider a naive OLS model: Embedded Image 5 where the earnings of physician i at firm j in period t, Yijt, depend on observable characteristics of the worker and firm, xit, the (potential) experience of the worker, eit, measured in the data as the number of years since graduating from medical school, and the tenure of the worker at firm j, Tijt. The model allows the returns to experience and tenure to depend on whether the worker has an NCA. The well-known problem with this model, however, is that frictional job search or matching may cause the error term to be correlated with experience and/or tenure. Specifically, suppose the error term contains the following components: Embedded Image where μi is an unobserved worker effect, ϕj is an unobserved firm effect, and is a statistical residual. A correlation between latent firm effects and experience or tenure could arise, for example, in a model of frictional search in which workers climb a job-ladder while searching for jobs at firms that pay higher wages. In this model, experience provides more time over which matching can occur, inducing a correlation with ϕj. In addition, once a worker has acquired a job at a high-wage firm they are less likely to depart, causing correlation between tenure and ϕj.

To understand the potential correlation between unobserved firm wage effects and experience or tenure, consider the error decomposition: Embedded Image 6

This decomposition suggests that endogenous mobility or job-search behavior based on unobserved factors that affect firm-level pay may bias estimates from Equation 5, and the magnitude of the bias may be correlated with NCAs. The direction of the bias in the naive model caused by these correlations is ambiguous. For example, one concern is that ϕj and Tijt may be positively correlated if workers tend to stay in high-wage jobs. However, the correlation could also depend on total experience if workers with low tenure but high experience are likely to have switched jobs because they found a match with a high ϕj, causing the net bias to be ambiguous.

The objective of the two-step model is to estimate β3 and β5 in a way that is robust to these potential forms of endogenous sorting into jobs on the basis of unobserved firm-level characteristics that are correlated with earnings. The first step of the model identifies total earnings growth using longitudinal within-job variation in earnings. Embedded Image 7 where Ψj denotes a fixed effect for each job, or worker–firm pair. We estimate two specifications of this model in which NCAij is either a binary indicator of NCA use, or is interacted with the continuous Bishara Index of NCA enforceability. The limitation of this model is that, since experience and tenure increase at the same rate over time within most jobs, only the total rate of earnings growth is identified. For physicians without NCAs the estimated rate of growth is (β2 + β4), and the total effect of NCAs on earnings growth is identified by (β3 + β5).20

To separately estimate the returns to tenure, β5, and returns to experience, β3, we follow the strategy from Topel (1991) by considering the model: Embedded Image 8

This model is estimated using information about the level of experience each worker had prior to beginning their current job, which is not collinear with the additional experience and tenure acquired on the job, to separate the two components. e0i denotes the prior experience of worker i at the beginning of the job spell. In this model, B4 captures the combined effect of tenure and experience acquired at firm j on earnings, which is equivalent to (β2 + β4), and similarly B5 captures the effect of NCAs on earnings growth, equivalent to (β3 + β5). Since B4 and B5 are identified in Model 5, they can be subtracted from both sides of Equation 8 to construct the second stage of the model: Embedded Image 9 where Embedded Image

Equation 9 provides unbiased estimators Embedded Image and Embedded Image under the assumption Embedded Image. This assumption, however, is directly testable. A violation of the assumption would occur if e0i was correlated with the error term in the second-stage equation. Suppose ϕj was a component of the error term, creating endogeneity in the estimated rate of growth of earnings due to unobserved firm characteristics, such as managerial ability. Inserting ϕj from Equation 6 into Equation 9 gives: Embedded Image 10 where Tij is the accumulated tenure and experience on the job. This equation shows that the endogeneity bias in the estimated rate of earnings growth caused by systematic job changes that are correlated with unobserved practice characteristics is equal to the sum b2 + b4, and the impact of NCAs on this bias term is equal to the sum b3+b5. Each of these sets of coefficients is identified by reinserting Tij(b2 + b4) + TijNCAij(b3 + b5) back into the right-hand side of the second stage and reestimating the model. If systematic job mobility based on observed practice characteristics were an important component of earnings growth, or if NCAs increased this rate of earnings growth or the rate of improvement in match quality over time, then Tij and TijNCAij would have positive and significant coefficients in this model. The impact of this positive mobility bias would lead β2 and β3 to be upper-bound estimates of the rates of return to experience, and β4 and β5 to be lower-bound estimates of the rates of return to tenure. As we report later, we fail to reject the assumption that Embedded Image, and show empirically that the bias in the estimated rate of earnings growth associated with endogenous sorting on unobserved practice characteristics, or with correlations between NCA use and unobserved practice characteristics, is small, with a maximum value of 1.3 percentage points, 7 percent of the main coefficient of interest.

Table 4 presents estimates of total within-job earnings growth from Equation 7. The model is estimated as a fixed-effects specification with job-match effects, using three years of earnings data per physician.21 The estimates suggest that total within-job earnings growth is fairly small and statistically insignificant for physicians without NCAs in both specifications. However, for physicians with NCAs, within-job earnings growth is significantly higher. Column 1 presents estimates of the first-stage model using extensive margin variation in NCA based on which physicians have signed NCAs, and first-order coefficient on NCA*Job Tenure is 0.19. Column 2 presents estimates from a similar model that uses intensive margin variation in state-level policies by interacting NCA use with the Bishara Score, and the first-order coefficient remains statistically significant and increases slightly to 0.25.

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Table 4

Fixed-Effects Models: Within-Job Earnings Growth

To be clear, this first-order coefficient is a linear approximation of a nonlinear function of experience and tenure in the neighborhood of zero years of each. The total rate of earnings growth declines rapidly after the first year on the job, as shown in the bottom panel of Table 5, which reports the predicted annual rate of earnings growth by year of tenure implied by the estimates. For example, the fifth year of tenure is predicted to increase earnings among those with NCAs by 6.2 percent, compared to a 4.0 percent increase for physicians without NCAs.

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Table 5

Main Estimates of Effect of NCAs on Return to Experience and Tenure

Table 5 presents the remaining estimates of the two-step model. The first column includes estimates of β2 and β3 from Equation 9. The second column repeats the coefficient estimates from Table 4, which come from estimating Equation 7. The third column reports the main estimates of the effect of NCAs on the rate of return to tenure, which is identified jointly by the estimates from Columns 1 and 2. The fourth column presents estimates from Equation 8 of the bias components that may arise if job mobility is endogenous in the sense that the rate of earnings growth is correlated with unobserved firm characteristics, ϕj.

The second-step model suggests that mean returns to experience associated with NCAs are close to zero, which implies a rate of return to tenure of 20.9 percent in the first year.22 All reported standard errors are whichever is larger between the standard error clustered by state and estimated using the Cameron, Gelbach, and Miller (2008) wild cluster bootstrap-t method and the standard error clustered by Primary Care Service Area (PCSA), a market definition from the Dartmouth Atlas of Healthcare. The estimated bias induced by correlation between e0i and ξij is quite small, 0.013, or about 7 percent of the total earnings growth.

The third row of the table presents our main estimates identified by the combination of extensive-margin use of NCAs and intensive-margin variation in state NCA enforceability. The estimated rates of total earnings growth and return to tenure are slightly larger than the estimates in the second row and again suggest that the difference in the rate of earnings growth associated with NCAs is attributed to larger returns to tenure.23

The bottom of the table shows the rates of earnings growth implied by estimates from Column 1 of Table 4 by year of tenure and experience. Although physicians with NCAs have much larger initial rates of earnings growth, the predicted cumulative earnings gain over the first ten years among those with NCAs is 70 percent, compared to 35 percent for physicians without NCAs. The comparable estimates are 89 percent and 36 percent, respectively, in the model using variation in state enforceability.

By demonstrating that nearly all earnings growth comes from larger returns to job tenure, these estimates provide evidence on the nature of the human capital investments that firms make that could lead to this differential earnings growth. The results imply that these investments are firm-specific, such as within-firm patient referrals (which are made firm-specific by NCAs), consistent with Prediction 3 in our model.

Of course, there are potential threats to identification in this model. One concern is that practices run by higher ability managers may be more likely to use NCAs and may also be more productive and pay higher earnings. This form of potential bias is captured in the estimated wage growth bias components in Table 5, which indicate that there is little correlation between practice unobservables, such as managerial ability, and either the rate of earnings growth or the use of NCAs. Moreover, we also estimate a version of the two-step model in which the NCA variable is continuous, which identifies the wage growth components using state variation in NCA enforceability measured by the Bishara Score. In this specification we still fail to reject the null hypothesis that unobserved practice characteristics are uncorrelated with earnings growth or NCA use, but this specification also narrows the potential scope for such endogeneity bias, which would require, for example, that physicians who are more talented managers avoid states in which NCAs are harder to enforce. Empirical evidence suggests that this is unlikely to be true: Yett and Sloan (1974) study physician location choices and show that physicians tend to practice medicine in either the state in which they were born or the state in which they attended school or completed a medical residency. Moreover, physicians provide services that are local in geographic nature, and there are tens of thousands of physicians in every state in our sample.

To evaluate this potential concern more formally, we test whether physician practice location choices are correlated with changes in NCA enforceability using the CMS MPIER file, which contains a complete census of the population of physicians in the United States for 1996–2007. We link the MPIER file to a longitudinal version of the NCA Bishara Index that includes the timing of all law changes in each state, developed by Hausman and Lavetti (2019). We then regress the log physician-to-population ratio in each county on the lagged NCA enforceability, county fixed effects, year fixed effects, and log per capita income. The results, reported in Online Appendix Table A4, show that changes in state NCA laws have no economically or statistically significant effect on the supply of physicians. The estimates suggest that changing NCA laws from a Bishara Score of zero to one, the two most extreme observed policies, is predicted to decreases the number of physicians per 1,000 population by only 3 percent (SE 2.8 percent), as reported in Online Appendix Table A4. Moreover, omitting NCA laws from the model of physician supply reduces the R-squared from 0.881 to 0.879 and increases the adjusted R-squared, suggesting that NCA laws have little conditional explanatory power in affecting the location choices of physicians. Starr (2015) also reaches a similar conclusion based on evidence from a broader sample of firms. He tests whether firms that produce tradeable goods choose to locate in states with different NCA policies than those that produce nontradeable local goods and services, where location choices are less flexible, and finds no effect of NCA policies on location decisions.

We also test for potential correlation between the use of NCAs and physician quality, which we discuss in greater detail in Section V.D.1. We again find no evidence of sorting on quality, providing some reassurance that several forms of potential selection into NCA contracts appear to be unlikely. Of course, we cannot rule out all forms of potential selection. Although the model accounts for fixed unobserved worker and firm heterogeneity, including potential impacts of unobserved firm characteristics on the rate of earnings growth, as with most fixed-effects specifications, it cannot account for all forms of potential time-varying unobservables. For this reason, in addition to these primary results, the remainder of the paper presents a variety of corroborating stylized evidence. Although we do not interpret this supporting evidence as causal, it helps corroborate the systematic pattern of evidence consistent with the theory presented in Section III.

2. Suggestive corroborating evidence

Across-Job Earnings Differentials

Although we have focused on earnings growth differences associated with NCAs, hedonic wage theory also suggests that earnings levels should also be higher in jobs with NCAs. To show the conditional mean difference in average earnings associated with NCAs, which we view only as corroborating suggestive evidence, we estimate the following fixed-effects model: Embedded Image 11 where Yijm is the log hourly earnings of physician i at firm j in market m; NCAij is either a binary indicator or interaction between NCA and enforceability; Xij includes characteristics of the worker, such as gender, experience, medical school location, tenure, specialty, and equity status, and characteristics of the firm, such as the number of physicians, university affiliations, and whether the practice is multispecialty; and θm is a fixed PCSA market effect.

Table 6 presents estimates of Equation 11. The first column shows that the average conditional hourly earnings of physicians with NCAs are about 13 percent higher. The second column includes a continuous measure of NCAs that accounts for variation in state enforceability interacted with a binary NCA indicator, and interacted with experience to test whether earnings rise faster for physicians with NCAs in states where NCAs are easier to enforce. Since it is difficult to interpret each coefficient on its own, Figure 1 graphically depicts the predicted wage profiles from Column 3.

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Table 6

Fixed-Effects Wage Models

Figure 1
Figure 1 Cross-Sectional Wage Profiles, by Experience and Tenure

Notes: Vertical axis is expected hourly earnings conditional on PCSA effects and covariates in Model 3 in Table 6 (top), and with tenure instead of experience interacted with NCA (bottom). Sole owners are excluded. Lines are best-fitting quadratic functions, with 95 percent confidence intervals.

The upper figure graphs the predicted wage profile as a function of potential experience for physicians with and without NCAs, and the lower panel graphs similar tenure profiles. There are two notable features of these graphs. First, hourly earnings of physicians with and without NCAs are similar at the beginning of a career or a new job. Second, earnings rise faster over time in jobs with NCAs. After about 15 years of either potential experience or job tenure, hourly earnings of workers with NCAs are more than 20 log points higher than observably similar workers without NCAs. Although these estimates do not account for unobserved worker heterogeneity and job-matching, as the panel-based estimates do, they provide corroborating evidence that the increase in the rate of earnings growth documented in Section V.B.1 leads to differences in hourly earnings levels.

Figure 2 shows kernel density distributions of conditional hourly earnings for physicians with and without NCAs, in low enforceability states compared to high enforceability states. In Figure 2a there is a large positive shift in the distribution of hourly earnings for physicians with NCAs; however, as Figure 2b shows, there is no such shift when NCAs are very difficult to enforce.

Figure 2
Figure 2 Kernel Density of Log Hourly Earnings Distribution

Notes: Kernel density of the predicted hourly earnings distribution conditional on county effects, physician specialty, practice type, practice size, experience, experience squared, ownership status, gender, and race. High enforceability defined as Bishara Score above 0.8, which includes Illinois, and low enforceability defined as Bishara Score below 0.2, which includes California.

The compensating differentials framework can be useful for understanding why earnings effects of NCAs may be larger in states where NCA enforceability is higher. If workers have heterogeneous preferences for occupational mobility, theory suggests they will sort into jobs with NCAs according to these preferences, and the equilibrium wage differential will be determined by the preferences of the marginal worker. If more workers are bound by NCAs in a market, the marginal worker ought to be more averse to accepting an NCA, increasing the observed wage premium. Summary statistics suggest that in states where NCAs are easier to enforce, firms are more likely to use them, consistent with earnings differentials being larger in high enforceability states.

Evidence from Compensation Structures

Prediction 2 from our model is that physicians with NCAs have compensation contracts that are more strongly tied to individual output. Table 7 shows summary statistics on compensation components in the survey data. We find that physicians with NCAs receive about 62 percent of their total annual income as guaranteed fixed salary, compared to 80 percent of income for physicians without NCAs. Consistent with our prediction, the share of total earnings that is tied to individual productivity is more that twice as high for physicians with NCAs, 31.2 percent compared to 15.1 percent. The disparity in the level of individual incentive payments in even larger, since physicians with NCAs earn more on average. Other incentive payments tend in the same direction, accounting for about 5.5 percent of total earnings for physicians with NCAs and 4.0 percent for physicians without.

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Table 7

NCAs and Compensation Structure

Although our theoretical model focuses on the role of incentive pay in generating upward-sloping earnings paths despite the reduction in bargaining power caused by NCAs, the literature more broadly has discussed several alternative explanations for the use of incentive pay in physician compensation. Ellis and McGuire (1986) develop a model of physician behavior under alternative compensation structures. They show that fee-for-service reimbursement, which is more strongly incentive-based, can lead to overutilization of services, while purely prospective reimbursement, which is less incentive based, can lead to underutilization if physicians care sufficiently strongly about profits relative to patient welfare. They conclude that a mixed reimbursement system in which physicians have incentives that are only partially linked to services provided can be superior and can prevent underutilization of care. In this model, incentive pay primarily affects the quantity of services provided because physicians are assumed to have perfect control over quantity as agents of their patients. The model suggests that physicians who more strongly value patient welfare relative to profits have less need for incentive pay.

To help interpret the observed difference in incentive pay associated with NCAs, we test whether these alternative theories of incentive pay from the literature can explain the patterns we observe. The models in Ellis and McGuire (1986) and Clemens and Gottlieb (2014) suggest that incentive pay should be lower among more altruistic physicians who are less motivated by profits. Our survey data contain several questions related to providing charity care. In Online Appendix Table A7 we show that the gap in incentive pay associated with NCAs cannot be explained by controlling for these measures of altruism, by observed physician and practice characteristics, or by geography. Relative to the unconditional mean difference in the share of earnings tied to individual production of 18.5 percent, the difference drops to 16.1 percent after conditioning on the full set of controls.

One additional potential concern is that incentive pay may be used in areas with relatively low supply of physicians to encourage doctors to work more hours. However, we find that NCAs are less common in areas with low supply, suggesting that this explanation is unlikely to drive the observed patterns in incentive pay. Specifically, we find that in counties in which less than 20 percent of the population lives in an urban area, which tend to be areas with low physician supply, NCAs are 6 percent less likely to be used.

Another possible alternative explanation for this pattern is discussed by Gaynor and Gertler (1995), who argue that in partnerships the influence of productivity on earnings could be motivated in part by risk protection. This suggests that if firms using NCAs tend to be smaller, earnings may be more directly influenced by productivity because there are fewer physicians over which to smooth fluctuations in output. However, Table 8 shows that very small practices with two to three physicians are less likely to use NCAs (31 percent) than practices with four to 499 physicians (45−50 percent).

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Table 8

NCA Use by Firm Size

Evidence from Patient Allocations and Generated Revenue

For evidence on Prediction 1, that firms using NCAs have more intrafirm patient referrals, we look directly at client allocations and worker-level revenue within firms. Table 9 shows the mean number of weekly patient visits for employees and practice owners with and without NCAs. Employed physicians with NCAs see over 11 percent more patients per week than those without NCAs, while the number of patients seen by practice owners does not vary much with NCA use. However, even more important differences underlie these totals—the composition of patients by source of insurance coverage is also substantially affected by NCA use. Physicians with NCAs have substantially more privately insured patients and Medicare patients, which have the highest reimbursement rates, but treat fewer patients with Medicaid coverage or no insurance.24 Medicaid payment rates averaged roughly half of the private insurance rates in our data.

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Table 9

Patient Stocks, Revenue, and Hours

We also estimate the weekly revenue generated by each physician using data on the number of patients served, the shares of patients covered by private insurance, Medicare, and Medicaid, and the associated reimbursement rates from each insurer. For privately insured patients, data on negotiated reimbursement prices are based on responses to the survey question: “On average, what is your net fee after discount for an initial office visit with a private, commercially insured patient?” Similarly, we apply reimbursement rates in the corresponding geographic area for primary care services to new patients making initial visits who are insured by Medicare or Medicaid.25 Although this estimated revenue index cannot account for unobserved variation in the mixture of services provided by different physicians, it does provide an estimate of the effect of variation in the absolute number of patients as well as the composition of patients across physicians.

Both higher patient levels and more favorable patient mixes contribute to employed physicians with NCAs generating 35 percent more revenue per week ($8,964 vs. $6,637). With only about 11 percent more hours worked per week, this translates to 17 percent more revenue per hour of patient care.26

More revealing are the differences between firms that use NCAs and those that do not in the disparities in the allocation of clients between owners and workers. In firms that use NCAs, employed physicians generate about $8,964 in revenue per week, while owners generate about $9,246. In firms that do not use NCAs, however, the difference is substantially larger and statistically significant—employed physicians generate about $6,637 per week, compared to $8,253 for owners. This difference in disparities is consistent with greater intrafirm referrals, as predicted by our model.

Still, the exact mechanism behind these patterns is unclear. Clearly, patient mixes can affect the incentive to use NCAs, and firms with the largest potential benefit from NCAs are most likely to impose them. However, it is also possible that firms using NCAs have more valuable patients because they have successfully prevented workers from poaching valuable clients in the past.

In Online Appendix Table A6 we look for evidence that the difference in revenue generated by physicians with NCAs is due to selection based on the types of workers or firms that choose to use NCAs. We find that the difference in revenue associated with NCAs cannot be explained by physician and practice characteristics; in fact, conditioning on observable characteristics increases the estimated revenue disparities associated with NCAs. The table also shows that these patterns hold within geographic markets.

This evidence on patient allocations is of course not causal, but it is consistent with the first prediction from our model. Along with the additional results on returns to tenure, earnings effects, and compensation structures, the combination of evidence is broadly consistent with all three predictions from the model, in which NCAs are used by physicians to prevent poaching and protect the value of patient stocks.

C. Do Physician Practices Use NCAs to Reduce Turnover and Hiring Costs?

It is also possible that physician practices use NCAs to reduce turnover and hiring costs. If so, we are interested in estimating the relative importance of these different sources of benefits in affecting firms’ decisions to use NCAs.

There are several mechanisms through which NCAs could increase the length of job spells. They could deter exit directly by making it more costly, they could induce self-selection by workers with private knowledge about their expectation for remaining at the firm, or they could reduce the probability that an outside offer will exceed earnings by increasing the returns to tenure. While it is not possible to identify each of these effects separately with available data, we are able to estimate the overall relationship between NCA use and the duration of job spells.

Previous studies in the literature have shown that NCAs have causal effects on worker job mobility rates. Marx, Strumsky, and Fleming (2009) use an exogenous inadvertent change in enforcement of NCAs in Michigan in 1985 and find that the average mobility of inventors producing patents in Michigan fell relative to the mobility of inventors in other states as a result of the increase in the enforceability of NCAs. Marx (2011) finds 40 percent of electrical engineers surveyed had signed NCAs, and that workers who left firms were more likely to switch industries if they were subject to an NCA.

Table 10 shows the unconditional distribution of job tenures for physicians with and without NCAs. As expected, physicians with NCAs are significantly less likely to have begun their job within the prior seven years. Figure 3 shows similar patterns conditional on observed characteristics. The figure plots the estimated difference in the conditional probability of observing a given year of tenure for a physician with an NCA relative to one without. Physicians with NCAs were significantly less likely to have tenures between one and seven years and significantly more likely to have tenure of nine or more years. These patterns imply that the CDF of job tenures of physicians with NCAs first-order stochastically dominates the distribution for those without NCAs.

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Table 10

Unconditional Comparison of Job Tenure and Experience

Figure 3
Figure 3 Marginal Effects of NCA on Years of Tenure

Notes: Graph shows the effects of a one unit increase in “Bishara Score*NCA” on the conditional probability of observing a given year of tenure based on estimates from an ordered probit model with covariates identical to Model 1 in Table 11. The 95 percent confidence intervals are shown in bars.

Table 11 presents our main estimates on job spell durations from fixed-effects negative binomial models of job tenure, conditional on observed worker and firm characteristics and primary care market effects. Column 1 shows physicians with NCAs have 12.3 percent longer job spells. Column 2 shows that the difference in job spell lengths increases to 29.6 percent when using variation in state enforceability. Although these are not causal effects, there is some suggestive evidence on the mechanism behind these patterns that is consistent with NCAs causally lengthening job spells. Since firms are more likely to use NCAs where they are more enforceable, this suggests that if the entire difference in job tenures were due to sorting on unobserved preferences for mobility, then as enforceability increases, the marginal workers who accept NCAs should be more likely to switch jobs. Column 2 suggests the opposite—where enforceability is higher, job spells are longer.

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Table 11

Negative Binomial Fixed-Effects Models of Job Tenure

Column 3 adds the Bishara Score without interacting with NCA use. The coefficient reveals information about sorting on unobservables. For workers without NCAs, who should not be directly affected by state enforceability laws, higher enforceability is actually associated with shorter job spells. This suggests that physicians sort into jobs on the basis of preferences for mobility. In combination, the three models provide suggestive evidence that each of the potential mechanisms we discuss appears to play some role in increasing the length of job spells. However, with only a single cross-sectional sample, a direct relationship between tenure and job-spell length requires a stationarity assumption in the difference between the rates of job flows for jobs with and without NCAs (Kiefer, Lundberg, and Neumann 1985).

Although these increases in job-spell length may be valuable to firms, are the reductions in hiring costs large enough to explain the estimated difference in career earnings? To answer this question, we calculate the net present value of the earnings differences associated with using NCAs as a function of the length of completed job spells by integrating over the discounted difference between the two functions in the bottom of Figure 1 from zero to year T. We then back out the hiring costs that firms would have to face in order to be indifferent about paying the present value of the wage differential to achieve these reductions in turnover. The estimates of course require assumptions about workers’ time preferences for money. At the mean completed job-spell length of 14 years, the present value of the future wage differential associated with NCAs is between $149,000−$274,000 when the rate of time preference varies between 10 percent and 2 percent. The largest estimate of the effect of NCAs on job-spell lengths is a 29.6 percent increase, which implies that the cost of hiring one primary care physician would have to be at least $653,000−$1,200,000 to justify paying workers this earnings differential solely to reduce turnover. Online Appendix Figure A1 plots the full range of estimates as a function of tenure and shows sensitivity of the estimates to the assumed discount rate. For the full range of discount rates the average implied threshold hiring costs are implausibly high for primary care physicians, suggesting that although turnover reductions appear to be substantial, they are very unlikely to be the primary motivation behind the use of NCAs among physician practices.

This conclusion may of course be specific to physicians or other skilled service workers, in part because the nature of job mobility is somewhat different. In other markets where markets are defined by products rather than by geography, NCAs can have very different types of mobility effects since workers may have to switch industries to avoid violating the contract. Fallick, Fleischman, and Rebitzer (2006) and Gilson (1999) discuss the strong importance of job mobility on the formation of agglomeration economies in technology-producing markets like Silicon Valley and suggest that the lack of enforceability of NCAs contributed to the microfoundations of agglomeration economies in the technology sector.

D. Robustness Analyses

1. Selection on quality

Although our main analyses in Section V.B.1 include a test for potential correlation between NCA use (or enforceability) and unobserved firm characteristics that impact the rate of earnings growth, another possibility is that the unobserved characteristics of individual physicians are correlated with NCA use. Of course, if such a correlation occurred systematically among individual physicians, it would generate a firm-level correlation (Abowd, Kramarz, and Margolis 1999), which is contrary to the empirical evidence. Still, our survey data contain a variety of rich direct and indirect measures of quality, which are also useful in assessing how plausible this concern may be. First, we observe negotiated prices between private commercial insurance plans and physician practices, which may capture differences in average practice quality. We find that there is substantial variation in negotiated prices for a standard primary care office visit, even within geographic markets. For example, using Dartmouth PCSA as a market definition, we estimate the within-market standard deviation in negotiated prices to be $35.49. This suggests that characteristics of physician services are reflected in prices. However, we find no significant difference in unconditional average prices associated with a practice’s use of NCAs ($91.14 [SE $2.90] with NCAs and $89.14 [SE $2.29] without).

Online Appendix Table A1 presents estimated conditional price differences from fixed-effects models that regress negotiated prices on observed physician and practice characteristics, with geographic market effects based on county or PCSAs. Each of the models suggests that prices vary with physician characteristics as expected. For example, physicians with two or more specialties receive on average $25 to $31 more per visit than family practice or general physicians. We find no significant difference in prices charged by physicians based on the use of NCAs. The difference in conditional mean prices is also very small, between $1 and $2. This suggests that any potential difference in quality between physicians with NCAs does not appear to be captured by market prices.

Second, we compare data that directly test the clinical knowledge of physicians in our sample. The survey included a series of hypothetical clinical situations followed by questions about the diagnoses and recommended treatments for the patients described in the scenarios. The vignettes and questions were designed by clinical consultants and pretested with a clinical panel to ensure that they provide meaningful and accurate assessments of physician practice patterns. Similar vignette-based surveys have been used extensively in the medical literature to measure variations in the approaches to diagnoses and treatment recommendations among physicians and have been convincingly shown to provide measures of quality of care that are even more reliable than data from medical records (Veloski, Evans, and Nash 2005). Since some of the questions are subjective, using a chi-square test, we first test whether there are any differences in the patterns of responses of physicians with and without NCAs, without evaluating whether the responses comply clinical guidelines. Of the 62 chi-square tests for differences in responses to each question, there was only one question to which physicians with NCAs responded significantly differently (at the 5 percent level) than physicians without NCAs.27

For one vignette based on the diagnosis and treatment of asthma, we also compare responses to clinical guidelines and calculate an aggregate measure of compliance for each physician.28 Compliance with asthma guidelines was tested specifically because it provides a relatively objective assessment of clinical knowledge. We find no statistically significant difference in overall compliance with clinical guidelines associated with the use of NCAs. There was, however, considerable potential for measuring variation, as slightly fewer than half of physicians in the survey gave responses in compliance with clinical guidelines.

Third, we test whether physicians with NCAs had more experience prior to beginning their current job, since experience tends to be strongly correlated with patient perceptions of quality (Choudrhy, Fletcher, and Soumerai 2005). Table 12 reports marginal effects from a probit model that regresses NCA use on experience prior to the beginning of a physician’s current job, along with physician, practice, and market characteristics. We find that experience in prior jobs has precisely no effect on the probability of having an NCA.

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Table 12

Probit Model: Are Firms that Use NCAs More Likely to Hire Physicians with More Prior Experience?

Collectively, this evidence suggests that systematic differences in physician quality based on the use of NCAs are very unlikely and cannot be detected in a variety of rich quality measures used frequently in the medical literature.

2. Can these patterns be explained by deferred compensation contracts?

Another potential alternative explanation for these earnings patterns is that they are simply due to differences in deferred compensation. For example, Lazear (1979) shows that deferred compensation contracts, in which young workers earn less than their marginal value product and older workers recoup the deficits from when they were younger, may be preferred by both firms and workers as a mechanism for preventing shirking. This type of contract may also reduce turnover. By increasing the attachment of a worker to a particular firm, deferred compensation contracts could be substitutes for NCA contracts. If this were true, we might expect that NCAs eliminate the need for deferred compensation, allowing firms to pay workers their spot marginal value product, while physicians without NCAs receive the deferred compensation contract.

However, there are several pieces of evidence that are contrary to this potential explanation. First, the earnings profiles suggest that physicians with NCAs earn higher hourly earnings throughout the first 30 years of tenure, which is more than twice the length of the average completed job spell in the sample. As a result, there is virtually no period in the career profile in which workers without NCAs appear to recoup earnings in excess of those of physicians with NCAs. Moreover, the differences in earnings appear to be commensurate with differences in revenue generated and patient visits, suggesting that NCAs have effects on the marginal value product of labor, and not simply on the relative timing of compensation. Finally, if the entire difference in earnings profiles were due to the use of deferred compensation contracts among physicians without NCAs, the evidence from comparing turnover rates with earnings levels implies that the amount of compensation that would have to be deferred would exceed hundreds of thousands of dollars, which may lead to much lower turnover rates for physicians with high levels of tenure and no NCA contracts. We do not observe any such pattern in the data.

3. Correlation with other state policies

Finally, we assess whether estimates based on Bishara Scores could potentially be confounded by other correlated state laws. For example, ideologies of voters about the role of state governments or workers’ rights may affect a broad array of state policies that are correlated with NCA laws.

The extent to which this may be a concern is limited for several reasons. As common law, the enforceability of NCAs in states has evolved through precedent over hundreds of years, and the majority of this precedent was established under English or French law, long before most of the legislation that shapes U.S. state policies currently (Bishara 2011). U.S. states differ in both the strength of influence and geography of origin of their civil law traditions, for reasons that are unrelated to current voters’ ideologies. Employment NCA laws in California, for example, have not changed materially since 1872, before health insurance or modern healthcare markets existed.

We show empirical evidence that the enforceability of NCA laws is on average uncorrelated with the modern-era political preferences of states. Online Appendix Figure A3 plots Bishara scores versus vote shares for major-party U.S. presidential candidates from 1992 to 2008. We find that there is no evidence of any systematic relationship between voter preferences and state NCA policies.

Hausman and Lavetti (2019) test for correlations between changes in NCA laws and a broader array of political and economic outcomes, as well as cultural views using the Generalized Social Survey (GSS). They find that NCA law changes are uncorrelated with unemployment rates, population levels, political preferences, views about the size of government, and many other outcomes.

VI. Discussion

Nearly every state permits the use of NCAs, and about 37 percent of the entire workforce in the United States has signed an NCA,29 but the economic rationales behind their use in some employment settings are not always transparent. Using new data from a survey of primary care physicians, we document that NCAs are used very frequently among physicians. A unique feature of our survey is that it combines direct information about contract structures leading to incentive pay, individual measures of productivity, and variation in human resource management practices, including NCAs (Bloom and Van Reenen 2010). This breadth of information offers a comprehensive view of the mechanisms behind firms’ incentives to use NCAs, allowing us to empirically assess the relative importance of each of the potential sources of benefits.

We show a wide range of evidence consistent with the hypothesis that physician practices use NCAs to prevent their patients from being poached. Our most robust findings come from longitudinal earnings models showing that NCAs substantially increase the rate of return to tenure, which we show is a predicted outcome if firms use NCAs to convert patient relationships into firm-specific human capital. Estimates from this model allow for the possibility that jobs with NCAs may be unobservably different and that unobserved firm characteristics, such as managerial ability, may be correlated with the rate of earnings growth and with the use of NCAs. In addition to this primary evidence, we show a range of suggestive evidence using survey data that collectively helps to corroborate this hypothesis. We find much lower disparities in the allocation of patients between practice owners and employed physicians in firms using NCAs, suggesting practices that use NCAs are more likely to share patients, for example through intrafirm referrals. We also show that the earnings of physicians who sign NCAs are more strongly tied to individual output, as opposed to fixed salaries, consistent with theoretical predictions. Whereas one concern about the use of NCAs is that they could harm workers, these patterns suggest that bundling NCAs with incentive-based compensation contracts can overcome the impacts of reducing workers’ bargaining power.

We also find evidence that jobs requiring NCAs tend to last longer, suggesting that there are some benefits associated with reductions in turnover. However, we back out a threshold hiring cost of about $0.65 to $1.20 million dollars per hire that would be required to justify the estimated earnings differentials if the only source of benefits were from turnover reductions. This implausibly high hiring cost for a primary care physician (more than three times larger than annual earnings) suggests that, although there appear to be meaningful reductions in turnover, the benefits are likely secondary to those associated with reducing poaching.

Our estimates can assist policymakers in evaluating the effects of NCAs and shaping public policy. Several states have changed their laws to expressly prohibit the use of NCAs by physicians,30 and President Obama urged states to completely ban NCAs for most workers,31 despite a dearth of empirical evidence on the effects of NCAs. We also draw attention to an important policy-relevant distinction between the use of NCAs by high skilled service firms to control relationship-assets and by technology firms that use NCAs to protect intellectual property. Whereas evidence, such as that in Fallick, Fleischman, and Rebitzer (2006), has suggested that the absence of enforceable NCAs may have contributed to the microfoundations of local agglomeration economies, we find that the presence of enforceable NCAs increases earnings growth and investment among service firms. Consistent with this notion, some states have very recently passed laws disentangling NCA policies across job sectors. For example, Hawaii banned the use of NCAs among technology workers, while New Mexico and several other states have banned NCAs specifically for healthcare workers.

Although our new survey data provide the first comprehensive information on the use of NCAs in physician practices, or in skilled service firms more generally, one limitation is that the survey data do allow us to conduct analyses using longitudinal variation in NCA policies. Our primary approach is to present a pattern of coherent evidence that is consistent with reasonable theoretical predictions and to directly test potential threats to identification. This relatively understudied topic could benefit greatly from additional analyses that make use of exogenous law changes and combine more comprehensive evidence on firms, workers, and consumers to assess the welfare effects of NCA policies more broadly.

Footnotes

  • The authors are grateful to Nicholas Bloom, David Card, Jed DeVaro, Lawrence Kahn, Nicholas Kiefer, Pat Kline, George Jakubson, Matt Marx, Jim Rebitzer, Jesse Rothstein, Kosali Simon, Alan Sorensen, Amanda Starc, and participants at AHEC Northwestern, APPAM, ASHE, Berkeley, McGill, Ohio State, Oregon State, SOLE, Stanford, UC Irvine, University of Illinois Urbana-Champaign, University of Rochester, and University of Tennessee for helpful comments, as well as Norman Bishara for generously sharing data and legal expertise. Financial support of this research was provided by AHRQ, The California Endowment, and the Robert Wood Johnson Scholars in Health Policy Program. This study uses survey data, the use of which requires approval by an institutional review board (IRB) for human subjects protection. Portions of the data can be made available for replication purposes only, subject to IRB approval. Replication code and log files are available upon request from the corresponding author (lavetti.1{at}osu.edu).

    Supplementary materials are freely available online at: http://uwpress.wisc.edu/journals/journals/jhr-supplementary.html

  • ↵1. Grossman and Hart (1986) present a model in which contracts that assign specific rights may be incomplete. Due to contractual incompleteness, residual rights of control assigned to one party or another inevitably create distortions. If these distortions affect the ex post allocation of returns to ex ante investments, they can lead to investment holdup problems.

  • ↵2. Rebitzer and Taylor (2007) describe one such policy common in large law firms: up-or-outpromotion contests in which the winners of the contest are the residual claimants of the assets.

  • ↵3. There are two broad types of NCA contracts. NCAs in employment contracts prevent employees from competing against a firm following a job separation. Corporate NCAs prevent the owners of a firm from selling the firm and then competing against it. We focus exclusively on employment-based NCAs.

  • ↵4. Specifically, NCAs in physician employment contracts forbid a physician from treating any patients in a designated geographic are for a fixed period of time following a job separation.

  • ↵5. See Shortell (1972) for a thorough discussion of physician referral behavior that is consistent with the idea that physician referrals are affected by financial interests.

  • ↵6. The American Medical Association (1998) discourages the use of NCAs in medicine. See AMA Code of Ethics, SO 9.02.

  • ↵7. See Sorrel (2008). For other anecdotal examples see Ligos (2000) or Wilson (2006).

  • ↵8. The 11 states are: AL, CA, CO, DE, FL, LA, MA, MT, ND, OK, and TX.

  • ↵9. In common law states, courts evaluate three criteria to assess the enforceability of NCAs: (i) whether the firm has a legitimate business interest behind the use of the NCA and whether that interest is capable of being protected by the NCA (in the past, courts have recognized business assets such as confidential client lists as protectable), (ii) whether the NCA imposes an undue burden on the worker, and (iii) whether the NCA is contrary to the public interest.

  • ↵10. See Malsberger, Blackstone, and Pedowitz (2006) for a detailed review of the legal treatment of noncompetes on a state-by-state basis.

  • ↵11. Olson and Stanley (2004) summarize several exceptions to the Act related to physician group practices and compensation arrangements:

    • A physician in a group practice may be paid a share of overall profits of the group, or a productivity bonus, based on services performed or services incident to personally performed services as long as the share or bonus is not determined in any manner that is directly related to the volume or value of patient referrals by the physician.

    • Another group of exceptions relates to compensation arrangements. The term “compensation arrangement” means any arrangement involving any remuneration between a physician (or an immediate family member) and an entity. “Remuneration” is broadly defined to include any remuneration paid directly or indirectly, overtly or covertly, in cash or in kind. Under this group of exceptions, the following are not considered to be illegal compensation arrangements (emphasis added):...

      • Any amount paid by an employer to a physician who has a bona fide employment relationship with the employer for the provision of services if the employment is for identifiable services, the amount of the remuneration under the employment is consistent with the fair market value of the services and is not determined in a manner that takes into account the volume or value of any referrals by the referring physician, and the remuneration is provided persuant to an agreement that would be commercially reasonable even if no referrals were made by the employer...

  • ↵12. Subsequent regulations in Fed. Reg. 2007;72:51012-99 provide explicit safe harbor in defining fair market value if compensation is determined by “the 50th-percentile national compensation level for physicians with the same physician specialty....”

  • ↵13. Note that when choosing jobs, workers do not require compensation for the risk that their preferences will change in the future, leading themto voluntarily exitthejob. However, firms do considerthis possibility when maximizing profits.

  • ↵14. We are grateful to an anonymous referee for noting that removing this model assumption may lead to alternative model predictions.

  • ↵15. One reason why such a contract may occur is if workers choose effort, and firms are hesitant to commit to second period salary increases due to moral hazard. Facing uncertain effort, firms may be willing to commit to forward share-based contracts even when they would not commit to forward salary levels. For example, with Cobb-Douglas production and variable capital inputs, firms will pay labor a fixed share of output that is independent of effort.

  • ↵16 Embedded Image

  • ↵17. We are grateful for funding for the survey provided by the Agency for Healthcare Research and Quality (AHRQ), the California Endowment, and the Commonwealth Fund.

  • ↵18. Base sampling weights were assigned to each physician on the basis of the inverse of their probability of selection and then adjusted for the probability of nonresponse and the probability of being sampled based on race.

  • ↵19. Note that states also differ in their legal treatment of the enforceability of NCAs on employees versus owners.

  • ↵20. Similar intuition can be seen by considering the first-differences analog of this specification. For workers with NCAs, taking differences in earnings within jobs identifies: Embedded Image

    For workers without NCAs: Embedded Image

    The difference in within-job earnings growth associated with NCAs is estimated by the term Embedded Image.

  • ↵21. Some respondents have fewer than three years of data because we exclude earnings from jobs prior to the physician’s current job at the time of survey.

  • ↵22. Altonji and Williams (2005) and Nevos and Waldman (1997) debate the sensitivity of estimates of returns to tenure to model specifications. Altonji and Williams (2005) replicate the estimates from Topel (1991) and show that when years of tenure are matched to annual earnings rather than lagged earnings, and observations with tenure equal to zero are included, the estimates fall by 43 percent. We use this specification from Panel C in Table 3 of Altonji and Williams (2005). We also follow Altonji and Williams (2005) in removing year effects before the first-stage model rather than using the detrending procedure in Topel (1991). Our estimates are also not sensitive to other specific data concerns raised in this debate, including union effects and marital status.

  • ↵23. We also test whether these differences in the rate of return to tenure can be explained by variation in hours worked. To do this, we reestimate the models presented in Table 5, but scale accumulated tenure and experience relative to a full-time equivalency baseline. We define a full-time equivalent (FTE) year of work to be the sample average number hours worked per week times the number of weeks worked per year, which equals 2,170 hours per year. The estimated rates of return to tenure in this specification are 0.176 in Row 2 (SE 0.042), and 0.258 in Row 3 (SE 0.066).

  • ↵24. It is difficult to draw conclusions based on the number of uninsured patients, some of whom may be treated as charity or below-cost care, while others may pay out-of-pocket.

  • ↵25. Medicare rates are based on service code 99214, corresponding to an office visit by an established patient. Medicaid rates are state average primary care rates from Zuckerman, Williams, and Stockley (2009).

  • ↵26. We use the term “productivity” for brevity to denote the ratio of revenue generated per hour, but do not mean to imply that the social value of the services provided by physicians with NCAs is higher.

  • ↵27. See Online Appendix Figure A2 for the full distribution of p-values.

  • ↵28. We construct a measure of compliance based on asthma guidelines developed by NIH Heart, Lung, and Blood Institute and the American Academy of Pediatrics. We define asthma guideline compliance in the vignette as a correct diagnosis of persistent moderate asthma, treatment prescription of inhaled corticosteroids year-round, and recommending a followup visit with one month.

  • ↵29. See U.S. Department of the Treasury (2016).

  • ↵30. In 2008, Massachusetts legislators banned the use of NCAs for physicians and nurses, citing issues with their effects on medical professionals’ rights to practice and patients’ rights to choose practitioners. In Tennessee, in 2005 the Supreme Court banned the use of NCAs for physicians under Murfreesboro Medical Clinic, PA v. Udom, 166 S.W.3d 674 (Tenn. 2005).

  • ↵31. See Reuters News, October 25, 2016 “White House Urges Ban on Non-Compete Agreements for Many Workers,” available at http://www.reuters.com/article/us-usa-noncompetes-idUSKCN12P2YP (accessed November 19, 2019).

  • Received June 2017.
  • Accepted October 2018.

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Journal of Human Resources: 55 (3)
Journal of Human Resources
Vol. 55, Issue 3
1 Jul 2020
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The Impacts of Restricting Mobility of Skilled Service Workers
Kurt Lavetti, Carol Simon, William D. White
Journal of Human Resources Jul 2020, 55 (3) 1025-1067; DOI: 10.3368/jhr.55.3.0617-8840R5

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The Impacts of Restricting Mobility of Skilled Service Workers
Kurt Lavetti, Carol Simon, William D. White
Journal of Human Resources Jul 2020, 55 (3) 1025-1067; DOI: 10.3368/jhr.55.3.0617-8840R5
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    • Abstract
    • I. Introduction
    • II. Empirical Setting and Legal Background
    • III. A Model of Service Firms with NCAs
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