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Research ArticleArticles
Open Access

Selection into Identification in Fixed Effects Models, with Application to Head Start

View ORCID ProfileDouglas L. Miller, View ORCID ProfileNa’ama Shenhav and View ORCID ProfileMichel Grosz
Journal of Human Resources, September 2023, 58 (5) 1523-1566; DOI: https://doi.org/10.3368/jhr.58.5.0520-10930R1
Douglas L. Miller
Doug Miller is at the Brooks School of Public Policy and the Economics Department, Cornell University ().
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  • For correspondence: dlm336{at}cornell.edu
Na’ama Shenhav
Na’ama Shenhav is at the Department of Economics, Dartmouth College ().
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  • For correspondence: naama.shenhav{at}dartmouth.edu
Michel Grosz
Michel Grosz is at the Bureau of Economics, Federal Trade Commission ().
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  • For correspondence: mgrosz{at}ftc.gov
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References

  1. ↵
    1. Abrevaya, Jason
    . 2006. “Estimating the Effect of Smoking on Birth Outcomes Using a Matched Panel Data Approach.” Journal of Applied Econometrics 21(4):489–519.
    OpenUrl
  2. ↵
    1. Aizer, Anna, and
    2. Flavio Cunha
    . 2012. “The Production of Human Capital: Endowments, Investments and Fertility.” NBER Working Paper 18429. Cambridge, MA: NBER.
  3. ↵
    1. Almond, Douglas,
    2. Kenneth Y. Chay, and
    3. David S. Lee
    . 2005. “The Costs of Low Birth Weight.” Quarterly Journal of Economics 120(3):1031–83.
    OpenUrlCrossRefWeb of Science
  4. ↵
    1. Anderson, Michael L.
    2008. “Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects.” Journal of the American Statistical Association 103(484):1481–95.
    OpenUrlCrossRefWeb of Science
  5. ↵
    1. Andersson, Fredrik,
    2. John C. Haltiwanger,
    3. Mark J. Kutzbach,
    4. Giordano E. Palloni,
    5. Henry O. Pollakowski, and
    6. Daniel H. Weinberg
    . 2016. “Childhood Housing and Adult Earnings: A Between-Siblings Analysis of Housing Vouchers and Public Housing.” NBER Working Paper 22721. Cambridge, MA: NBER.
  6. ↵
    1. Andrews, Isaiah, and
    2. Emily Oster
    . 2019. “A Simple Approximation for Evaluating External Validity Bias.” Economics Letters 178:58–62.
    OpenUrl
  7. ↵
    1. Angrist, Joshua D.
    1998. “Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants.” Econometrica 66(2):249–88.
    OpenUrlCrossRefWeb of Science
    1. Angrist, Joshua D., and
    2. Ivan Fernandez-Val
    . 2013. “ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework.” In Advances in Economics and Econometrics: Tenth World Congress, Econometric Society Monograph 3, ed. Daron Acemoglu, Manuel Arellano, and Eddie Dekel, 401–34. Cambridge, UK: Cambridge University Press.
  8. ↵
    1. Angrist, Joshua, and
    2. Jorn-Steffen Pischke
    . 2009. Mostly Harmless Econometrics. Princeton, NJ: Princeton University Press.
  9. ↵
    1. Aronow, Peter M., and
    2. Allison Carnegie
    . 2013. “Beyond LATE: Estimation of the Average Treatment Effect with an Instrumental Variable.” Political Analysis 21(4):492–506.
    OpenUrlCrossRef
  10. ↵
    1. Bailey, Martha J.,
    2. Shuqiao Sun, and
    3. Brenden Timpe
    . 2021. “Prep School for Poor Kids: The Long-Run Impacts of Head Start on Human Capital and Economic Self-Sufficiency.” American Economic Review 111(12):3963–4001.
    OpenUrl
  11. ↵
    1. Barr, Andrew, and
    2. Chloe R. Gibbs
    . 2022. “Breaking the Cycle? Intergenerational Effects of an Antipoverty Program in Early Childhood.” Journal of Political Economy 130:3253–85.
    OpenUrl
  12. ↵
    1. Bates, Michael David,
    2. Katherine E. Castellano,
    3. Sophia Rabe-Hesketh, and
    4. Anders Skrondal
    . 2014. “Handling Correlations between Covariates and Random Slopes in Multilevel Models.” Journal of Educational and Behavioral Statistics 39(6):524–49.
    OpenUrlCrossRef
  13. ↵
    1. Bauer, Lauren, and
    2. Diane Whitmore Schanzenbach
    . 2016. “The Long-Term Impact of the Head Start Program.” Washington, DC: The Hamilton Project, Brookings Institute.
  14. ↵
    1. Bayer, Patrick,
    2. Randi Hjalmarsson, and
    3. David Pozen
    . 2009. “Building Criminal Capital behind Bars: Peer Effects in Juvenile Corrections.” Quarterly Journal of Economics 124(1):105–47.
    OpenUrlCrossRefWeb of Science
  15. ↵
    1. Black, Sandra E.,
    2. Paul J. Devereux, and
    3. Kjell G. Salvanes
    . 2007. “From the Cradle to the Labor Market? The Effect of Birth Weight on Adult Outcomes.” Quarterly Journal of Economics 122(1):409–39.
    OpenUrlCrossRefWeb of Science
  16. ↵
    1. Borusyak, Kirill, and
    2. Xavier Jaravel
    . 2017. “Revisiting Event Study Designs, with an Application to the Estimation of the Marginal Propensity to Consume.” Unpublished.
  17. ↵
    1. Bound, John, and
    2. Gary Solon
    . 1999. “Double Trouble: On the Value of Twins-Based Estimation of the Return to Schooling.” Economics of Education Review 18(2):169–82.
    OpenUrlCrossRef
  18. ↵
    1. Callaway, Brantly, and
    2. Pedro H. C. Sant’Anna
    . 2018. “Difference-in-Differences with Multiple Time Periods and an Application on the Minimum Wage and Employment.” Unpublished.
  19. ↵
    1. Carneiro, Pedro, and
    2. Rita Ginja
    . 2014. “Long-Term Impacts of Compensatory Preschool on Health and Behavior: Evidence from Head Start.” American Economic Journal: Economic Policy 6(4):135–73.
    OpenUrlCrossRef
  20. ↵
    1. Carrell, Scott E., and
    2. Mark L. Hoekstra
    . 2010. “Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone’s Kids.” American Economic Journal: Applied Economics 2(1):211–28.
    OpenUrlCrossRefWeb of Science
  21. ↵
    1. Carrell, Scott E.,
    2. Mark Hoekstra, and
    3. Elira Kuka
    . 2018. “The Long-Run Effects of Disruptive Peers.” American Economic Review 108(11):3377–415.
    OpenUrlCrossRef
  22. ↵
    1. Cengiz, Doruk,
    2. Arindrajit Dube,
    3. Attila Lindner, and
    4. Ben Zipperer
    . 2019. “The Effect of Minimum Wages on Low-Wage Jobs.” Quarterly Journal of Economics 134(3):1405–54.
    OpenUrl
  23. ↵
    1. Chaisemartin, Clement, and
    2. Xavier D’Haultfoeille
    . 2019. “Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects.” Unpublished.
  24. ↵
    1. Chernozhukov, Victor,
    2. Iván Fernández-Val,
    3. Jinyong Hahn, and
    4. Whitney Newey
    . 2013. “Average and Quantile Effects in Nonseparable Panel Models.” Econometrica 81(2):535–80.
    OpenUrlCrossRefWeb of Science
  25. ↵
    1. Chetty, Raj, and
    2. Nathaniel Hendren
    . 2018a. “The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects.” Quarterly Journal of Economics 133(3): 1107–62.
    OpenUrlCrossRef
  26. ↵
    1. Chetty, Raj, and
    2. Nathaniel Hendren
    . 2018b. “The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates.” Quarterly Journal of Economics 133(3):1163–228.
    OpenUrlCrossRef
  27. ↵
    1. Chorniy, Anna V.,
    2. Janet Currie, and
    3. Lyudmyla Sonchak
    . 2018. “Does Prenatal WIC Participation Improve Child Outcomes?” NBER Working Paper 24691. Cambridge, MA: NBER.
  28. ↵
    1. Collins, William J., and
    2. Marianne H. Wanamaker
    . 2014. “Selection and Economic Gains in the Great Migration of African Americans: New Evidence from Linked Census Data.” American Economic Journal: Applied Economics 6(1):220–52.
    OpenUrl
  29. ↵
    1. Currie, Janet, and
    2. Ishita Rajani
    . 2015. “Within-Mother Estimates of the Effects of WIC on Birth Outcomes in New York City.” Economic Inquiry 53(4):1691–701.
    OpenUrl
    1. Currie, Janet, and
    2. Maya Rossin-Slater
    . 2013. “Weathering the Storm: Hurricanes and Birth Outcomes.” Journal of Health Economics 32(3):487–503.
    OpenUrlCrossRefPubMedWeb of Science
  30. ↵
    1. Currie, Janet, and
    2. Duncan Thomas
    . 1995. “Does Head Start Make a Difference?” American Economic Review 85(3):341–64.
    OpenUrlCrossRefWeb of Science
  31. ↵
    1. De Haan, Monique, and
    2. Edwin Leuven
    . 2020. “Head Start and the Distribution of Long-Term Education and Labor Market Outcomes.” Journal of Labor Economics 38(3):727–65.
    OpenUrlCrossRef
  32. ↵
    1. Deming, David
    . 2009. “Early Childhood Intervention and Life-Cycle Skill Development: Evidence from Head Start.” American Economic Journal: Applied Economics 1(3):111–34.
    OpenUrlCrossRefWeb of Science
  33. ↵
    1. Dube, Arindrajit,
    2. T. William Lester, and
    3. Michael Reich
    . 2010. “Minimum Wage Effects across State Borders: Estimates Using Contiguous Counties.” Review of Economics and Statistics 92(4):945–64.
    OpenUrlCrossRefWeb of Science
  34. ↵
    1. Dube, Arindrajit,
    2. T. William Lester, and
    3. Michael Reich
    . 2015. “Minimum Wage Shocks, Employment Flows, and Labor Market Frictions.” Journal of Labor Economics 34(3):663–704.
    OpenUrl
  35. ↵
    1. Figlio, David,
    2. Jonathan Guryan,
    3. Krzysztof Karbownik, and
    4. Jeffrey Roth
    . 2014. “The Effects of Poor Neonatal Health on Children’s Cognitive Development.” American Economic Review 104(12):3921–55.
    OpenUrl
  36. ↵
    1. Finkelstein, Amy,
    2. Matthew Gentzkow, and
    3. Heidi Williams
    . 2016. “Sources of Geographic Variation in Health Care: Evidence From Patient Migration.” Quarterly Journal of Economics 131(4):1681–726.
    OpenUrlCrossRefPubMed
  37. ↵
    1. Garces, Eliana,
    2. Duncan Thomas, and
    3. Janet Currie
    . 2002. “Longer-Term Effects of Head Start.” American Economic Review 92(4):999–1012.
    OpenUrlCrossRefWeb of Science
  38. ↵
    1. Geruso, Michael, and
    2. Dean Spears
    . 2018. “Heat, Humidity, and Infant Mortality in the Developing World.” NBER Working Paper 24870. Cambridge, NBER.
  39. ↵
    1. Gibbons, Charles E.,
    2. Serrato Juan Carlos Suárez, and
    3. Michael B. Urbancic
    . 2019. “Broken or Fixed Effects?” Journal of Econometric Methods 8(1):20170002.
    OpenUrl
  40. ↵
    1. Gibbs, Chloe,
    2. Jens Ludwig, and
    3. Douglas L. Miller
    . 2013. “Head Start Origins and Impacts.” In Legacies of the War on Poverty, ed. Martha J. Bailey and Sheldon Danziger, 51–69. New York: Russell Sage Foundation.
  41. ↵
    1. Goodman-Bacon, Andrew
    . 2018. “Difference-in-Differences with Variation in Treatment Timing.” NBER Working Paper 25018. Cambridge, MA: NBER.
  42. ↵
    1. Hoxby, Caroline M.
    2000. “The Effects of Class Size on Student Achievement: New Evidence from Population Variation.” Quarterly Journal of Economics 115(4):1239–85.
    OpenUrlCrossRefWeb of Science
  43. ↵
    1. Hoynes, Hilary,
    2. Diane Whitmore Schanzenbach, and
    3. Douglas Almond
    . 2016. “Long-Run Impacts of Childhood Access to the Safety Net.” American Economic Review 106(4):903–934.
    OpenUrl
  44. ↵
    1. Imai, Kosuke, and
    2. In Song Kim
    . 2019. “When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?” American Journal of Political Science 63(2):467–90.
    OpenUrl
  45. ↵
    1. Jayachandran, Seema, and
    2. Rohini Pande
    . 2017. “Why Are Indian Children so Short? The Role of Birth Order and Son Preference.” American Economic Review 107(9):2600–2629.
    OpenUrl
  46. ↵
    1. Johnson, Rucker C., and
    2. C. Kirabo Jackson
    . 2019. “Reducing Inequality through Dynamic Complementarity: Evidence from Head Start and Public School Spending.” American Economic Journal: Economic Policy 11(4):310–49.
    OpenUrl
  47. ↵
    1. Kling, Jeffrey R.,
    2. Jeffrey B. Liebman, and
    3. Lawrence F. Katz
    . 2007. “Experimental Analysis of Neighborhood Effects.” Econometrica 75(1):83–119.
    OpenUrlCrossRefWeb of Science
  48. ↵
    1. Lemieux, Thomas
    . 1998. “Estimating the Effects of Unions on Wage Inequality in a Panel Data Model with Comparative Advantage and Nonrandom Selection.” Journal of Labor Economics 16(2):261–91.
    OpenUrlCrossRefWeb of Science
  49. ↵
    1. Lochner, Lance, and
    2. Enrico Moretti
    . 2015. “Estimating and Testing Models with Many Treatment Levels and Limited Instruments.” Review of Economics and Statistics 97(2):387–97.
    OpenUrlCrossRef
  50. ↵
    1. Loken, Katrine V.,
    2. Magne Mogstad, and
    3. Matthew Wiswall
    . 2012. “What Linear Estimators Miss: The Effects of Family Income on Child Outcomes.” American Economic Journal: Applied Economics 4(2):1–35.
    OpenUrl
  51. ↵
    1. Ludwig, Jens, and
    2. Douglas L. Miller
    . 2007. “Does Head Start Improve Children’s Life Chances? Evidence from a Regression Discontinuity Design.” Quarterly Journal of Economics 122 (1):159–208.
    OpenUrlCrossRefWeb of Science
  52. ↵
    1. Pages, Remy J.-C.,
    2. Dylan J. Lukes,
    3. Drew H. Bailey, and
    4. Greg J. Duncan
    . 2020. “Elusive Longer-Run Impacts of Head Start: Replications within and across Cohorts.” Educational Evaluation and Policy Analysis 42(4):471–92.
    OpenUrl
  53. ↵
    1. Rossin-Slater, Maya
    . 2013. “WIC in Your Neighborhood: New Evidence on the Impacts of Geographic Access to Clinics.” Journal of Public Economics 102:51–69.
    OpenUrlCrossRefPubMedWeb of Science
  54. ↵
    1. Roy, A.D.
    1951. “Some Thoughts on the Distribution of Earnings.” Oxford Economic Papers 3(2):135–46.
    OpenUrlCrossRef
  55. ↵
    1. Shah, Manisha, and
    2. Bryce Millett Steinberg
    . 2017. “Drought of Opportunities: Contemporaneous and Long-Term Impacts of Rainfall Shocks on Human Capital.” Journal of Political Economy 125(2):527–61.
    OpenUrl
  56. ↵
    1. Sloczynski, Tymon
    . 2018. “A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands.” Unpublished.
  57. ↵
    1. Spears, Dean,
    2. Diane Coffey, and
    3. Jere Behrman
    . 2019. “Birth Order, Fertility, and Child Height in India and Africa.” NBER Working Paper 12289. Cambridge, MA: NBER.
  58. ↵
    1. Stuart, Elizabeth A.,
    2. Stephen R. Cole,
    3. Catherine P. Bradshaw, and
    4. Philip J. Leaf
    . 2011. “The Use of Propensity Scores to Assess the Generalizability of Results from Randomized Trials.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 174(2):369–86.
    OpenUrlCrossRefWeb of Science
  59. ↵
    1. Suri, Tavneet
    . 2011. “Selection and Comparative Advantage in Technology Adoption.” Econometrica 79(1):159–209.
    OpenUrlCrossRefWeb of Science
  60. ↵
    1. Thompson, Owen
    . 2018. “Head Start’s Long-Run Impact: Evidence from the Program’s Introduction.” Journal of Human Resources 53(4):1100–39.
    OpenUrlAbstract/FREE Full Text
  61. ↵
    1. Verdier, Valentin, and
    2. Andrew Castro
    . 2019. “Average Treatment Effects for Stayers with Correlated Random Coefficient Models of Panel Data.” Unpublished.
  62. ↵
    1. Wiswall, Matthew
    . 2013. “The Dynamics of Teacher Quality.” Journal of Public Economics 100:61–78.
    OpenUrlCrossRefWeb of Science
  63. ↵
    1. Wooldridge, Jeffrey M.
    2005. “Fixed-Effects and Related Estimators for Correlated Random-Coefficient and Treatment-Effect Panel Data Models.” Review of Economics and Statistics 87(2):385–90.
    OpenUrlCrossRefWeb of Science
  64. ↵
    1. Wooldridge, Jeffrey M.
    2019. “Correlated Random Effects Models with Unbalanced Panels.” Journal of Econometrics 211(1):137–50.
    OpenUrl
  65. ↵
    1. Xie, Zong-Xian,
    2. Shin-Yi Chou, and
    3. Jin-Tan Liu
    . 2016. “The Short-Run and Long-Run Effects of Birth Weight: Evidence from Large Samples of Siblings and Twins in Taiwan.” Health Economics 26(7):910–21.
    OpenUrl
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Journal of Human Resources: 58 (5)
Journal of Human Resources
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Selection into Identification in Fixed Effects Models, with Application to Head Start
Douglas L. Miller, Na’ama Shenhav, Michel Grosz
Journal of Human Resources Sep 2023, 58 (5) 1523-1566; DOI: 10.3368/jhr.58.5.0520-10930R1

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Selection into Identification in Fixed Effects Models, with Application to Head Start
Douglas L. Miller, Na’ama Shenhav, Michel Grosz
Journal of Human Resources Sep 2023, 58 (5) 1523-1566; DOI: 10.3368/jhr.58.5.0520-10930R1
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  • Article
    • ABSTRACT
    • I. Introduction
    • II. A Survey of Family Fixed Effects Applications
    • III. Fixed Effects and Selection into Identification
    • IV. Extrapolating from Identifying to Target Population
    • V. Extensions
    • VI. Effects of Head Start
    • VII. Other Applications
    • VIII. Conclusion
    • Footnotes
    • References
  • Figures & Data
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