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How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005*

* This paper is a replication of an original study

Author

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  • Susan Dynarski
  • Brian Jacob
  • Daniel Kreisman

Abstract

A substantial and rapidly growing literature has developed around estimating earnings gains from 2‐year college degrees using administrative data. These papers almost universally employ a person‐level fixed‐effects strategy to estimate earnings premia net of fixed attributes. We note that the seminal piece on which these papers build—Jacobson, Lalonde, & Sullivan, Journal of Econometrics, 2005, 125(1–2), 271–304—provides theoretical and empirical evidence for the importance of additionally differencing out individual time trends. The subsequent literature has not followed suit. Through replication we ask whether this matters. We show that it does, and further that these person‐level time trends need not be computationally burdensome in large administrative data. We recommend them as a unifying econometric standard for future work.

Suggested Citation

  • Susan Dynarski & Brian Jacob & Daniel Kreisman, 2018. "How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1098-1108, November.
    • Handle: RePEc:wly:japmet:v:33:y:2018:i:7:p:1098-1108
    DOI: 10.1002/jae.2653
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    References listed on IDEAS

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    1. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
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    3. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    4. Christopher Jepsen & Kenneth Troske & Paul Coomes, 2014. "The Labor-Market Returns to Community College Degrees, Diplomas, and Certificates," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 95-121.
    5. Jacobson, Louis & LaLonde, Robert & G. Sullivan, Daniel, 2005. "Estimating the returns to community college schooling for displaced workers," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 271-304.
    6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    7. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    8. Nikolas Mittag, 2015. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," CERGE-EI Working Papers wp532, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    9. Mittag, Nikolas, 2016. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," IZA Discussion Papers 10447, Institute of Labor Economics (IZA).
    10. Carruthers, Celeste K. & Sanford, Thomas, 2018. "Way station or launching pad? Unpacking the returns to adult technical education," Journal of Public Economics, Elsevier, vol. 165(C), pages 146-159.
    11. Ann Huff Stevens & Michal Kurlaender & Michel Grosz, 2019. "Career Technical Education and Labor Market Outcomes: Evidence from California Community Colleges," Journal of Human Resources, University of Wisconsin Press, vol. 54(4), pages 986-1036.
    12. Zeidenberg, Matthew & Scott, Marc & Belfield, Clive, 2015. "What about the non-completers? The labor market returns to progress in community college," Economics of Education Review, Elsevier, vol. 49(C), pages 142-156.
    13. Liu, Vivian Y.T. & Belfield, Clive R. & Trimble, Madeline J., 2015. "The medium-term labor market returns to community college awards: Evidence from North Carolina," Economics of Education Review, Elsevier, vol. 44(C), pages 42-55.
    14. Louis Jacobson & Robert J. Lalonde & Daniel Sullivan, 2005. "The Impact of Community College Retraining on Older Displaced Workers: Should We Teach Old Dogs New Tricks?," ILR Review, Cornell University, ILR School, vol. 58(3), pages 398-415, April.
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    Citations

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    Cited by:

    1. Rüttenauer, Tobias & Ludwig, Volker, 2019. "Fixed Effects Individual Slopes: Accounting and Testing for Heterogeneous Effects in Panel Data or Other Multilevel Models," SocArXiv k4rnu, Center for Open Science.
    2. Celeste K. Carruthers & Christopher Jepsen, 2020. "Vocational Education: An International Perspective," CESifo Working Paper Series 8718, CESifo.
    3. Gaulke, Amanda P., 2022. "Returns to bachelor’s degree completion among stopouts," Economics of Education Review, Elsevier, vol. 86(C).
    4. Darolia, Rajeev & Mueser, Peter & Cronin, Jacob, 2021. "Labor market returns to a prison GED," Economics of Education Review, Elsevier, vol. 82(C).
    5. Lauren Schudde & Meghan Shea, 2022. "Heterogeneity in the Returns to Credits for Public Two-Year College Entrants," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(2), pages 337-367, March.
    6. Gaulke, Amanda P., 2021. "Post-Schooling off-The-Job training and its benefits," Labour Economics, Elsevier, vol. 70(C).
    7. Finn Lattimore & Daniel M. Steinberg & Anna Zhu, 2023. "The Economic Effect of Gaining a New Qualification Later in Life," Papers 2304.01490, arXiv.org, revised Apr 2023.

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    Replication

    This item is a replication of:
  • Jacobson, Louis & LaLonde, Robert & G. Sullivan, Daniel, 2005. "Estimating the returns to community college schooling for displaced workers," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 271-304.

    • More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005 (Journal of Applied Econometrics 2018) in ReplicationWiki

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