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Micro- and Macroeconomic Implications of Heterogeneity in the Production of Human Capital

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  • Solomon W. Polachek
  • Tirthatanmoy Das
  • Rewat Thamma-Apiroam

Abstract

We derive a tractable nonlinear earnings function that we estimate separately individual by individual using NLSY79 data. We obtain three ability measures, a rate of skill depreciation, a time discount rate, and a population-wide estimate of the human capital rental rate. We utilize these parameters to verify a number of heretofore untested theorems based on the life cycle model. We show how these human capital production function parameters relate to cognitive ability, personality traits, and family background. Finally, we show that accounting for individual-specific heterogeneity dramatically reduces estimates of population-wide persistence of permanent and transitory shocks by over 50 percent.

Suggested Citation

  • Solomon W. Polachek & Tirthatanmoy Das & Rewat Thamma-Apiroam, 2015. "Micro- and Macroeconomic Implications of Heterogeneity in the Production of Human Capital," Journal of Political Economy, University of Chicago Press, vol. 123(6), pages 1410-1455.
    • Handle: RePEc:ucp:jpolec:doi:10.1086/683989
    DOI: 10.1086/683989
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    3. Fatih Karahan & Serdar Ozkan & Jae Song, 2019. "Anatomy of Lifetime Earnings Inequality: Heterogeneity in Job Ladder Risk vs. Human Capital," Staff Reports 908, Federal Reserve Bank of New York.
    4. Solomon W. Polachek, 2017. "Heterogeneity in the Labor Market: Ability and Information Acquisition," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(3), pages 377-390, June.
    5. Ian Fillmore & Trevor Gallen, 2019. "Heterogeneity in Talent or in Tastes? Implications for Redistributive Taxation," 2019 Meeting Papers 94, Society for Economic Dynamics.
    6. Das, Tirthatanmoy & Polachek, Solomon W., 2017. "Estimating labor force joiners and leavers using a heterogeneity augmented two-tier stochastic frontier," Journal of Econometrics, Elsevier, vol. 199(2), pages 156-172.
    7. Nicholas W Papageorge & Kevin Thom, 2020. "Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study," Journal of the European Economic Association, European Economic Association, vol. 18(3), pages 1351-1399.
    8. Botosaru, Irene, 2023. "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, vol. 235(2), pages 1378-1393.
    9. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2020. "Multidimensional skills and the returns to schooling: Evidence from an interactive fixed‐effects approach and a linked survey‐administrative data set," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 548-566, August.
    10. Ahmad Reshad Osmani, 2021. "Conditional Cash Incentive and Use of Health Care Services: New Evidence from a Household Experiment," Journal of Family and Economic Issues, Springer, vol. 42(3), pages 518-532, September.
    11. Das, Tirthatanmoy & Polachek, Solomon, 2017. "Micro Foundations of Earnings Differences," IZA Discussion Papers 10922, Institute of Labor Economics (IZA).
    12. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
    13. Magnac, Thierry & Roux, Sébastien, 2021. "Heterogeneity and wage inequalities over the life cycle," European Economic Review, Elsevier, vol. 134(C).

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