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Research ArticleArticles
Open Access

Inconsistent Retirement Timing

View ORCID ProfileChristoph Merkle, View ORCID ProfilePhilipp Schreiber and View ORCID ProfileMartin Weber
Journal of Human Resources, May 2024, 59 (3) 929-974; DOI: https://doi.org/10.3368/jhr.0920-11215R2
Christoph Merkle
Christoph Merkle is an associate professor of finance at Aarhus University and a research fellow at the Danish Finance Institute (corresponding author: ).
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  • ORCID record for Christoph Merkle
  • For correspondence: cmerkle{at}econ.au.dk
Philipp Schreiber
Philipp Schreiber is a full professor of finance at Esslingen University.
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Martin Weber
Martin Weber is a senior professor of finance at the University of Mannheim and a research fellow at the CEPR.
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Article Figures & Data

Figures

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  • Additional Files
  • Figure 1
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    Figure 1

    Time Preference Survey Questions

    Notes: Screenshot of the survey question used to elicit time preferences. Displayed are six choices between a smaller sooner amount and a later larger amount. Time consistency requires the same choice (A or B) on the right and the left.

  • Figure 2
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    Figure 2

    Average Actual Retirement Age by Number of Inconsistent Answers

    Notes: The bars show the average actual retirement age for participants with zero, one, two, or three inconsistent answers. Significance: *p < 0.1, **p < 0.05, ***p < 0.01, relative to the group with zero inconsistent answers.

  • Figure 3
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    Figure 3

    Fraction of Participants Stating They Retired Too Early

    Notes: The bars show the fraction of participants who state they retired too early for participants with zero, one, two, or three inconsistent answers. Significance: *p < 0.1, **p < 0.05, ***p < 0.01, relative to the group with zero inconsistent answers.

  • Figure 4
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    Figure 4

    Planned Retirement Age by Age Group and Time Preferences

    Notes: The figure shows the average planned retirement age depending on current age for time-consistent participants (solid line) and for time-inconsistent participants (dashed line).

  • Figure 5
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    Figure 5

    Retirement Timing by Overdraft Usage and Smoking Habits

    Notes: The figure shows the fraction of participants who retire earlier than planned in the 2008–2011 SAVE waves. Earlier than planned retirement is assumed if the planned retirement age in wave t – 1 (PRAt–1) is larger than the actual retirement age indicated in wave t (ARAt). Significance: *p < 0.1, **p < 0.05, ***p < 0.01, relative to the group of nonsmokers or to the group not using overdrafts (overdraft = 1).

Tables

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    Table 1

    Detailed Summary Statistics for Time Preferences

    Panel ARetireesNonretirees
    SoonerLater% SoonerSoonerLater% Sooner
    Immediate tax refund (low interest rate)15439801,72340981
    Immediate tax refund (medium interest rate)11281589461,18644
    Immediate tax refund (high interest rate)10489545351,59725
    Delayed tax refund (low interest rate)11677601,27885460
    Delayed tax refund (medium interest rate)73120383931,73918
    Delayed tax refund (high interest rate)79114411571,9757
    Panel BRetireesNonretirees
    Observations Included in Analysisn%n%
    Time consistent
    # inconsistent answers = 012263.21,25759.0
    Present biased
    # inconsistent answers = 13819.749023.0
    # inconsistent answers = 2136.71858.7
    # inconsistent answers = 3147.31798.4
    Total18796.92,11199.0
    Observations excluded from analysisn%n%
    Future biased42.1170.8
    Mixed biased21.040.2
    Total63.1211.0
    • Notes: The table presents detailed summary statistics of the time preference measure used in the survey (see Figure 1). Panel A shows choices of participants (sooner or later tax refund) in each of the six questions separately for the sub-samples of retirees and nonretirees. Panel B specifies time-consistent responses, present-biased responses, and other response patterns.

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    Table 2

    Summary Statistics

    Retirees (n = 187)Nonretirees (n = 2,111)
    MeanSDMeanSD
    Panel A: Retirement Timing
    Planned retirement age64.973.81
    Actual retirement age61.544.64
    Full retirement age65.140.2566.720.52
    Retirement regret0.220.41
    Panel B: Time Preferences
    Inconsistency indicator0.350.480.400.49
    Number inconsistent answers [0–3]0.570.920.660.95
    Impatience [1–7]3.851.773.881.62
    Panel C: Demographics
    Age66.665.7040.1012.10
    Gender [male = 1]0.880.330.850.36
    Income3,411.733,125.81
    Retirement benefits3,157.414,639.30
    Satisfaction with benefits [1–7]5.001.83
    Number of children1.641.190.781.19
    Education [0–2]1.440.781.610.62
    Married0.820.390.470.50
    Panel D: Additional Controls
    Risk aversion [1–7]4.021.513.891.46
    Loss aversion [1–7]4.671.594.221.59
    Financial literacy [0–6]3.980.934.151.13
    Subjective life expectancy84.356.4583.537.78
    Private pension insurance0.360.480.650.48
    • Notes: The table shows summary statistics for the FAZ survey separately for the subsamples of retired and nonretired participants. Variables are as defined in the Appendix.

    • View popup
    Table 3

    Effect of Time Preferences on Actual Retirement Age

    Actual Retirement Age
    (1)(2)(3)(4)(5)
    Inconsistency indicator−1.758
    (0.80)**
    Number inconsistent answers−1.142−1.028−1.026−0.978
    (0.46)**(0.43)**(0.41)**(0.41)**
    Impatience−0.330−0.443−0.538
    (0.20)*(0.19)**(0.21)**
    Age0.3210.301
    (0.07)***(0.07)***
    Gender1.5072.305
    (1.29)(1.35)*
    Married−0.348−0.781
    (0.90)(1.02)
    Number of children−0.247−0.311
    (0.28)(0.30)
    Education0.8510.681
    (0.48)*(0.51)
    Retirement benefits [log]−0.556−0.458
    (0.30)*(0.27)*
    Satisfaction retirement benefits−0.070−0.039
    (0.17)(0.18)
    Risk aversion−0.349
    (0.25)
    Loss aversion−0.026
    (0.23)
    Financial literacy−0.980
    (0.41)**
    Life expectancy−0.022
    (0.05)
    Private pension insurance0.113
    (0.60)
    Constant62.15862.19563.40145.33153.353
    (0.34)***(0.34)***(0.76)***(4.66)***(7.72)***
    R20.0280.0460.0560.2500.278
    Observations185185185169160
    • Notes: The table shows the results of five OLS regressions with actual retirement age in years as the dependent variable. Independent variables are as defined in the Appendix. Robust standard errors are displayed in parentheses. Significance: *p < 0.1, **p < 0.05, ***p < 0.01.

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    Table 4

    Ex Post Evaluation of the Retirement Decision

    Retirement Regret
    (1)(2)(3)(4)(5)
    Inconsistency indicator0.188
    (0.07)***
    Number inconsistent answers0.0970.0970.0970.079
    (0.04)***(0.04)**(0.04)**(0.04)**
    Impatience0.001−0.005−0.006
    (0.02)(0.02)(0.02)
    Actual retirement age0.000−0.002
    (0.01)(0.01)
    Age−0.001−0.000
    (0.01)(0.01)
    Gender−0.100−0.061
    (0.13)(0.14)
    Married−0.037−0.088
    (0.10)(0.11)
    Number of children0.0040.000
    (0.03)(0.03)
    Education−0.0180.016
    (0.04)(0.04)
    Retirement benefits [log]0.0300.025
    (0.02)(0.02)
    Satisfaction retirement benefits−0.059−0.072
    (0.02)***(0.02)***
    Risk aversion0.019
    (0.02)
    Loss aversion0.002
    (0.02)
    Financial literacy−0.046
    (0.04)
    Life expectancy0.003
    (0.00)
    Private pension insurance−0.048
    (0.07)
    Constant0.1500.1610.1560.4120.506
    (0.03)***(0.03)***(0.07)**(0.57)(0.74)
    R20.0430.0420.0360.0820.099
    Observations185185185167158
    • Notes: The table shows the results of five linear probability models (OLS) with the indicator retirement regret as the dependent variable. Robust standard errors are displayed in parentheses. Significance: *p < 0.1, **p < 0.05, ***p < 0.01.

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    Table 5

    Effect of Time Preferences on Planned Retirement Age

    Planned Retirement Age
    (1)(2)(3)(4)(5)(6)
    Inconsistency indicator−0.365−0.327−0.141−0.206
    (0.17)**(0.17)*(0.16)(0.16)
    Impatience−0.172−0.172−0.181−0.158
    (0.05)***(0.05)***(0.05)***(0.05)***
    Number inconsistent answers−0.236−0.221
    (0.08)***(0.08)***
    Age−0.053−0.026
    (0.01)***(0.01)*
    Age × Incon. indicator−0.034−0.032
    (0.01)***(0.01)**
    Gender−0.038
    (0.23)
    Married−0.395
    (0.21)*
    Number of children0.051
    (0.14)
    Education0.495
    (0.13)***
    Income [log]−0.447
    (0.13)***
    Risk aversion0.091
    (0.08)
    Loss aversion−0.127
    (0.07)*
    Financial literacy−0.122
    (0.08)
    Life expectancy0.042
    (0.02)**
    Private pension insurance−0.552
    (0.17)***
    Constant65.11465.76365.12365.78067.86267.155
    (0.11)***(0.22)***(0.10)***(0.22)***(0.45)***(2.19)***
    R20.0020.0060.0030.0080.0570.074
    Observations2,1112,1042,1112,1042,1042,046
    • Notes: The table shows the results of six OLS regressions with planned retirement age as the dependent variable. All variables are as defined in the Appendix. Age × Incon. indicator is the interaction between age and the inconsistency indicator. Robust standard errors are displayed in parentheses. Significance: *p < 0.1, **p < 0.05, ***p < 0.01.

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    Table 6

    Effect of Time Preferences on Planned Retirement Age—Sample Split

    Planned Retirement Age
    Age ≤ MedianAge > MedianAge > 50Age > 55
    (1)(2)(3)(4)(5)(6)
    Number inconsistent answers0.2010.125−0.458−0.446−0.774−0.988
    (0.12)*(0.12)(0.14)***(0.14)***(0.18)***(0.29)***
    Impatience−0.286−0.246−0.124−0.127−0.114−0.243
    (0.07)***(0.07)***(0.08)(0.08)(0.10)(0.15)
    Age0.021−0.011−0.049−0.175
    (0.04)(0.02)(0.06)(0.20)
    Gender0.054−0.288−0.808−1.022
    (0.31)(0.36)(0.54)(0.73)
    Married0.244−0.739−0.747−0.494
    (0.41)(0.28)***(0.39)*(0.55)
    Number of children−0.3250.2390.0850.259
    (0.46)(0.08)***(0.16)(0.21)
    Education0.8270.2250.7000.548
    (0.25)***(0.16)(0.21)***(0.29)*
    Income [log]−0.848−0.181−0.1590.223
    (0.20)***(0.17)(0.22)(0.22)
    Risk aversion0.0960.086−0.179−0.258
    (0.11)(0.10)(0.15)(0.19)
    Loss aversion−0.225−0.0390.0080.198
    (0.11)**(0.09)(0.13)(0.17)
    Financial literacy−0.151−0.113−0.0490.274
    (0.11)(0.14)(0.19)(0.28)
    Life expectancy0.0160.0760.0460.089
    (0.03)(0.02)***(0.03)(0.04)**
    Private pension insurance−0.737−0.441−0.553−0.614
    (0.24)***(0.28)(0.38)(0.54)
    Constant66.81071.42364.88161.31966.56565.873
    (0.31)***(2.80)***(0.32)***(2.62)***(4.69)***(12.28)***
    R20.0140.0580.0130.0410.0740.139
    Observations1,0711,043922897375151
    • Notes: The table shows six OLS regressions with planned retirement age as the dependent variable. The columns show results for different subsamples by age (participants aged 60 or above are excluded). All variables are as defined in the Appendix. Robust standard errors are displayed in parentheses. Significance: *p < 0.1, **p < 0.05, ***p < 0.01.

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    Table 7

    Effect of Time Preferences on Owning Private Pension Insurance

    Private Pension Insurance Indicator
    (1)(2)(3)(4)(5)
    Inconsistency indicator−0.045
    (0.02)**
    Number inconsistent answers−0.020−0.020−0.025−0.025
    (0.01)*(0.01)*(0.01)**(0.01)**
    Impatience−0.007−0.005−0.005
    (0.01)(0.01)(0.01)
    Age−0.000−0.000
    (0.00)(0.00)
    Gender−0.004−0.016
    (0.03)(0.03)
    Married0.0630.062
    (0.03)**(0.03)**
    Number of children−0.007−0.010
    (0.01)(0.01)
    Education0.0180.016
    (0.02)(0.02)
    Income [log]0.0690.068
    (0.01)***(0.01)***
    Risk aversion−0.019
    (0.01)**
    Loss aversion−0.005
    (0.01)
    Financial literacy−0.006
    (0.01)
    Life expectancy0.003
    (0.00)**
    Constant0.6490.6440.6710.0990.002
    (0.01)***(0.01)***(0.03)***(0.10)(0.17)
    R20.0020.0010.0010.0250.030
    Observations2,2772,2772,2702,0722,046
    • Notes: The table shows the results of five linear probability models with the indicator private pension insurance as the dependent variable. All variables are as defined in the Appendix. Robust standard errors are displayed in parentheses. Significance: *p < 0.1, **p < 0.05, ***p < 0.01.

    • View popup
    Table 8

    Summary Statistics SAVE Survey

    Retirees (n = 907)Nonretirees (n = 1,140)
    MeanSDMeanSD
    Panel A: Retirement Timing
    Planned retirement age64.922.98
    Actual retirement age58.906.82
    Panel B: Time Preferences
    Smoker [0–1]0.140.350.310.46
    Overdraft [1–4]1.691.032.151.14
    Overdraft indicator [0–1]0.180.390.320.47
    Panel C: Demographics
    Age69.838.8546.2119.26
    Gender [male = 1]0.520.500.450.50
    Income (if >0)1,517.121,108.731,519.73985.16
    Number of children2.041.411.681.37
    Education [0–2]0.450.790.500.78
    Married0.610.490.630.48
    Panel D: Additional Controls
    Financial literacy [0–9]2.941.082.951.04
    Subjective life expectancy80.337.0678.608.40
    Private pension insurance (PPI)0.080.280.440.50
    Panel E: Health Controls
    Health status [1–5]3.160.833.580.80
    Satisfaction health [0–10]5.542.456.442.31
    Prolonged illness0.690.460.430.50
    • Notes: The table presents summary statistics for the SAVE 2010 survey for subsamples of retirees and nonretirees. Variables are as defined in the Appendix.

    • View popup
    Table 9

    Actual Retirement Age SAVE Survey

    Actual Retirement Age
    (1)(2)(3)(4)(5)(6)
    Smoker [0/1]−3.605−3.548−2.661
    (0.79)***(0.79)***(0.78)***
    Overdraft [1–4]−1.679−1.589−1.394
    (0.27)***(0.27)***(0.25)***
    Health status1.5771.3271.4281.369
    (0.48)***(0.47)***(0.49)***(0.47)***
    Satisfaction health0.0170.0140.073−0.017
    (0.15)(0.14)(0.15)(0.15)
    Prolonged illness0.3970.6580.4230.422
    (0.57)(0.55)(0.58)(0.54)
    Gender1.3881.053
    (0.48)***(0.47)**
    Married−0.689−1.345
    (0.5)(0.5)***
    Number of children0.1030.197
    (0.16)(0.16)
    Education0.8740.725
    (0.24)***(0.26)***
    Income [log]−0.269−0.216
    (0.06)***(0.06)***
    Financial literacy−0.104−0.112
    (0.2)(0.2)
    Life expectancy0.1530.142
    (0.03)***(0.04)***
    Private pension insurance (PPI)−4.506−4.14
    (1.07)***(1.01)***
    Constant59.39554.04242.74861.84356.4846.675
    (0.23)***(1.53)***(3.01)***(0.44)***(1.59)***(3.38)***
    R20.0330.0620.1500.0670.0970.208
    Observations907907905753753752
    • Notes: The table shows the results of six cross-sectional OLS regressions for the 2010 wave of the SAVE survey. The dependent variable is actual retirement age using the subsample of retired participants. Regressions include either smoking or overdraft usage as a proxy for time inconsistency. Variables are as defined in the Appendix. All five imputations of the SAVE data are used. Coefficients and standard errors are calculated according to Rubin (1987). Significance: *p < 0.1, **p < 0.05, ***p < 0.01.

    • View popup
    Table 10

    Planned Retirement Age SAVE Survey

    Panel AFull PanelSmokerNonsmoker
    AllAge > 40Age > 50AllAge > 40Age > 50
    (1)(2)(3)(4)(5)(6)(7)
    Wave−0.093−0.197−0.256−0.321−0.036−0.055−0.085
    (0.05)*(0.09)**(0.12)**(0.15)**(0.05)(0.06)(0.09)
    Health status0.010−0.0110.0060.046−0.012−0.0140.125
    (0.03)(0.06)(0.06)(0.08)(0.04)(0.05)(0.05)**
    Satisf. health−0.1000.028−0.003−0.074−0.165−0.131−0.094
    (0.14)(0.27)(0.28)(0.34)(0.15)(0.14)(0.18)
    Prolonged illness0.083−0.067−0.198−0.4030.190.122−0.073
    (0.13)(0.25)(0.32)(0.53)(0.14)(0.15)(0.2)
    Constant65.57266.69667.09167.68164.88364.96164.702
    (0.56)***(1.15)***(1.46)***(2.29)***(0.55)***(0.58)***(0.78)***
    R20.0030.0070.0110.0330.0030.0030.014
    Obs4,0431,4499904362,5941,802952
    Panel BFull PanelOverdraft = 1Overdraft = 0
    AllAge > 40Age > 50AllAge > 40Age > 50
    (1)(2)(3)(4)(5)(6)(7)
    Wave−0.093−0.111−0.183−0.236−0.086−0.098−0.125
    (0.05)*(0.09)(0.11)*(0.15)(0.06)(0.07)(0.09)
    Health status0.0100.049−0.0210.093−0.0380.0050.112
    (0.03)(0.06)(0.06)(0.09)(0.04)(0.05)(0.05)**
    Satisf. health−0.100−0.249−0.238−0.199−0.008−0.014−0.026
    (0.14)(0.25)(0.21)(0.28)(0.16)(0.18)(0.2)
    Prolonged illness0.0830.031−0.051−0.0470.1010.015−0.281
    (0.13)(0.18)(0.18)(0.29)(0.18)(0.22)(0.32)
    Constant65.57265.61666.57965.72665.59165.36065.721
    (0.56)***(0.93)***(1.08)***(1.43)***(0.69)***(0.85)***(1.28)***
    R20.0030.0060.0080.0220.0020.0020.014
    Obs.4,0431,3569244112,6871,868977
    • Notes: The table shows the results of seven fixed-effects panel regressions with planned retirement age in years as the dependent variable. Data used for the analysis come from SAVE 2008, 2009, 2010, and 2011, encoded in the variable wave. All variables are as defined in the Appendix. All five imputations of the SAVE data are used. Coefficients and standard errors are calculated according to Rubin (1987). Significance: *p < 0.1, **p < 0.05, ***p < 0.01.

  • VariableDescription
    FAZ Survey
    Planned retirement ageAge in years when nonretired participants plan to retire (“At what age do you plan to retire?”). Nonretirees only.
    Actual retirement ageAge in years when retired participants did retire (“At what age did you retire?”). Retirees only.
    Full retirement ageFull retirement age according to the German social security system based on the birth year of participants.
    Retirement regretIndicator that equals one if participants felt they retired too early (“If you were to retire again, would you retire earlier, later, or at the same age?”). Retirees only.
    Inconsistency indicatorRefers to the time preference question as displayed in Figure 1. Indicator equals one if a participant makes at least one time-inconsistent choice in the direction of hyperbolic discounting.
    Number inconsistent answersRefers to the time preference question as displayed in Figure 1. Count of the number of inconsistent choices in the direction of hyperbolic discounting (0–3).
    ImpatienceAgreement on a seven-point Likert scale (1–7) with the statement “I am an impatient person.”
    AgeCurrent age of participants in years.
    GenderIndicator that equals one if a participant is male.
    IncomeSelf-reported monthly net income. Nonretirees only.
    Retirement benefitsRetirement income from social and private insurance. Retirees only.
    Satisfaction with benefitsAgreement on a seven-point Likert scale (1–7) with the statement “I am satisfied with my monthly retirement benefits.”
    Number of childrenNumber of participant’s children.
    EducationVariable that takes a value of two for a university degree or higher, a value of one for a high school degree (German Abitur), and a value of zero for a lower or no degree.
    MarriedIndicator that equals one if a participant is married.
    Risk aversionAgreement on a seven-point Likert scale (1–7) with the statement “I am a risk-averse person.”
    Loss aversionAgreement on a seven-point Likert scale (1–7) with the statement “I am very afraid of losses.”
    Financial literacyNumber of correct responses to six financial literacy questions (see Online Appendix A).
    Subjective life expectancySelf-reported life expectancy in years of age.
    Private pension insuranceIndicator if participant owns private pension insurance.
    SAVE Survey
    Planned retirement ageAge in years when nonretired participants plan to retire (“At what age do you plan to retire?”). Nonretirees only.
    Actual retirement ageAge in years when retired participants did retire (“At what year did you enter retirement?”). Retirees only.
    SmokerIndicator that equals one if a participant responds yes to the question “Do you smoke regularly?” at least once in the used rounds of the panel.
    OverdraftOverdraft measures the self-reported usage of the overdraft option provided by the participant’s bank. It ranges from one (never use overdraft) to four (more than 6 times per year).
    Overdraft indicatorIndicator that equals one if participants use the overdraft option frequently (overdraft ≥ 3) at least once in the used rounds of the panel.
    AgeCurrent age of participants in years.
    GenderIndicator that equals one if a participant is male.
    IncomeSelf-reported monthly net income.
    Number of childrenNumber of participant’s children.
    EducationVariable that takes a value of two for a university degree or higher, a value of one for a high school degree (German Abitur), and a value of zero for a lower or no degree.
    MarriedIndicator that equals one if a participant is married.
    Financial literacyNumber of correct responses to nine financial literacy questions (see Online Appendix B).
    Subjective life expectancySelf-reported life expectancy in years of age.
    Private pension insuranceIndicator that equals one if a participant owns private pension insurance.
    Health statusSelf-assessed health status on a five-point scale (from very good (=5) to very bad (=1)).
    Satisfaction with healthSelf-reported satisfaction with own health on a ten-point scale (from completely satisfied (=10) to not at all satisfied (=0)).
    Prolonged illnessIndicator that takes the value of one if a participant reports to have prolonged health problems, illnesses, or disabilities.

Additional Files

  • Figures
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  • Free alternate access to The Journal of Human Resources supplementary
    materials is available at 
    https://uwpress.wisc.edu/journals/journals/jhr-supplementary.html

    • 0920-11215R2_supp.pdf
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Journal of Human Resources: 59 (3)
Journal of Human Resources
Vol. 59, Issue 3
1 May 2024
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Inconsistent Retirement Timing
Christoph Merkle, Philipp Schreiber, Martin Weber
Journal of Human Resources May 2024, 59 (3) 929-974; DOI: 10.3368/jhr.0920-11215R2

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Inconsistent Retirement Timing
Christoph Merkle, Philipp Schreiber, Martin Weber
Journal of Human Resources May 2024, 59 (3) 929-974; DOI: 10.3368/jhr.0920-11215R2
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  • Article
    • Abstract
    • I. Introduction
    • II. Time Preferences and the Retirement Decision
    • III. Experimental Design and Data
    • IV. Results
    • V. Evidence from a Representative Household Survey
    • VI. Discussion
    • VII. Conclusion
    • Acknowledgments
    • Appendix: Variable Definitions
    • Footnotes
    • References
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  • D14
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