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Heterogeneous Income Profiles Model with Fixed Effects: Incorporating Labour Income Shocks

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  • Nayoung Lee
  • Hyungsik Roger Moon
Abstract
We provide an alternative econometrics methodology to estimate a standard heterogeneous income profiles (HIP) model. Our alternative setup allows for the HIP coefficients to be fixed in the sense that they can be arbitrarily correlated with the explanatory variables of the HIP equation and can be treated as parameters to be estimated. As an empirical application, we analyse the extent to which different sources of labour income shocks account for the persistence and variation of composite income shocks based on the HIP model. Our estimation results from the Panel Study of Income Dynamics (PSID) suggest that the random effect assumption of no correlation can lead to biases. We also find that job displacements account for the persistence of income shocks the most, especially for high school educated individuals.

Suggested Citation

  • Nayoung Lee & Hyungsik Roger Moon, 2021. "Heterogeneous Income Profiles Model with Fixed Effects: Incorporating Labour Income Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1377-1407, December.
    • Handle: RePEc:bla:obuest:v:83:y:2021:i:6:p:1377-1407
    DOI: 10.1111/obes.12440
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    References listed on IDEAS

    as
    1. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    2. Fatih Guvenen, 2009. "An Empirical Investigation of Labor Income Processes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 58-79, January.
    3. Hamish Low & Costas Meghir & Luigi Pistaferri, 2010. "Wage Risk and Employment Risk over the Life Cycle," American Economic Review, American Economic Association, vol. 100(4), pages 1432-1467, September.
    4. 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.
    5. Anne Case & Angus S. Deaton, 2005. "Broken Down by Work and Sex: How Our Health Declines," NBER Chapters, in: Analyses in the Economics of Aging, pages 185-212, National Bureau of Economic Research, Inc.
    6. Altonji, Joseph G & Segal, Lewis M, 1996. "Small-Sample Bias in GMM Estimation of Covariance Structures," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 353-366, July.
    7. Kenneth A. Couch & Dana W. Placzek, 2010. "Earnings Losses of Displaced Workers Revisited," American Economic Review, American Economic Association, vol. 100(1), pages 572-589, March.
    8. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1353-1381.
    9. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    10. John Bound, 1989. "Self-Reported vs. Objective Measures of Health in Retirement Models," NBER Working Papers 2997, National Bureau of Economic Research, Inc.
    11. Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, July.
    12. 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.
    13. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    14. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    15. Manuel Arellano & Stéphane Bonhomme, 2012. "Identifying Distributional Characteristics in Random Coefficients Panel Data Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 987-1020.
    16. Robert Gibbons & Lawrence Katz, 1992. "Does Unmeasured Ability Explain Inter-Industry Wage Differentials?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(3), pages 515-535.
    17. David A. Wise, 2005. "Analyses in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise05-1.
    18. Fatih Guvenen, 2007. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," American Economic Review, American Economic Association, vol. 97(3), pages 687-712, June.
    19. Baker, Michael, 1997. "Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 338-375, April.
    20. Manuel Arellano & Richard Blundell & Stéphane Bonhomme, 2017. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," Econometrica, Econometric Society, vol. 85, pages 693-734, May.
    21. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    22. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    23. Ruhm, Christopher J, 1991. "Are Workers Permanently Scarred by Job Displacements?," American Economic Review, American Economic Association, vol. 81(1), pages 319-324, March.
    24. Kerwin Kofi Charles, 2003. "The Longitudinal Structure of Earnings Losses among Work-Limited Disabled Workers," Journal of Human Resources, University of Wisconsin Press, vol. 38(3).
    25. Meyer, Bruce D. & Mok, Wallace K.C., 2019. "Disability, earnings, income and consumption," Journal of Public Economics, Elsevier, vol. 171(C), pages 51-69.
    26. Saul Hoffman & Greg Duncan, 1988. "What are the economic consequences of divorce?," Demography, Springer;Population Association of America (PAA), vol. 25(4), pages 641-645, November.
    27. Kerwin Kofi Charles & Melvin Stephens, 2004. "Job Displacement, Disability, and Divorce," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 489-522, April.
    28. repec:eee:labchp:v:3:y:1999:i:pb:p:2439-2483 is not listed on IDEAS
    29. Farber, Henry S., 1999. "Mobility and stability: The dynamics of job change in labor markets," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 37, pages 2439-2483, Elsevier.
    30. Dmytro Hryshko, 2012. "Labor income profiles are not heterogeneous: Evidence from income growth rates," Quantitative Economics, Econometric Society, vol. 3(2), pages 177-209, July.
    31. Stevens, Ann Huff, 1997. "Persistent Effects of Job Displacement: The Importance of Multiple Job Losses," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 165-188, January.
    32. Hamish Low & Luigi Pistaferri, 2015. "Disability Insurance and the Dynamics of the Incentive Insurance Trade-Off," American Economic Review, American Economic Association, vol. 105(10), pages 2986-3029, October.
    33. Manuel Arellano & Richard Blundell & Stephane Bonhomme, 2018. "Nonlinear Persistence and Partial Insurance: Income and Consumption Dynamics in the PSID," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 281-286, May.
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