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Wage Decompositions Using Panel Data Sample Selection Correction

Author

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  • Oaxaca, Ronald L.

    (University of Arizona)

  • Choe, Chung

    (Konkuk University)

Abstract

This paper analyzes wage decomposition methodology in the context of panel data sample selection embedded in a correlated random effects setting. Identification issues unique to panel data are examined for their implications for wage decompositions. As an empirical example, we apply our methodology to German Socio-Economic Panel (GSOEP) data with which we investigate gender wage differentials in the German Labor Market. Our results highlight the sensitivity of inferences about potential discrimination to how elements of the panel data selection model are assigned to explained and unexplained components.

Suggested Citation

  • Oaxaca, Ronald L. & Choe, Chung, 2016. "Wage Decompositions Using Panel Data Sample Selection Correction," IZA Discussion Papers 10157, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp10157
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    References listed on IDEAS

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    1. Elder, Todd E. & Goddeeris, John H. & Haider, Steven J., 2010. "Unexplained gaps and Oaxaca-Blinder decompositions," Labour Economics, Elsevier, vol. 17(1), pages 284-290, January.
    2. O. Ashenfelter & D. Card (ed.), 2011. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 4, number 4.
    3. O. Ashenfelter & D. Card (ed.), 2011. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 4, number 5.
    4. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    5. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    6. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    7. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    8. Javier Gardeazabal & Arantza Ugidos, 2004. "More on Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 1034-1036, November.
    9. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    10. repec:adr:anecst:y:2003:i:71-72:p:10 is not listed on IDEAS
    11. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    12. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    13. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    14. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    15. Myoung-Jae Lee, 2015. "Reference parameters in Blinder-Oaxaca decomposition: Pooled-sample versus intercept-shift approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(1), pages 69-82, March.
    16. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    17. Shoshana Neuman & Ronald Oaxaca, 2004. "Wage Decompositions with Selectivity-Corrected Wage Equations: A Methodological Note," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(1), pages 3-10, April.
    18. Shoshana Neuman & Ronald L. Oaxaca, 2003. "Gender vs Ethnic Wage Differentials Among Professionals: Evidence from Israel," Annals of Economics and Statistics, GENES, issue 71-72, pages 245-265.
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    Cited by:

    1. Adriana Aguilar-Rodriguez & Alfonso Miranda & Yu Zhu, 2018. "Decomposing the language pay gap among the indigenous ethnic minorities of Mexico: is it all down to observables?," Economics Bulletin, AccessEcon, vol. 38(2), pages 689-695.
    2. Xinxin Ma, 2019. "The Impact of Membership of the Communist Party of China on Wages," Economics Bulletin, AccessEcon, vol. 39(4), pages 2839-2856.
    3. Renna Francesco & Oaxaca Ronald L. & Choe Chung, 2023. "Is There a Business Cycle Effect on the Incidence of Dual Job Holding?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 23(2), pages 443-465, April.
    4. MA Xinxin, 2022. "Economic Transition and Wage Gap Between Communist Party Members and Nonmembers in China," Discussion papers 22032, Research Institute of Economy, Trade and Industry (RIETI).
    5. Alessia Amighini & Weidi Fang & Martin Zagler, 2023. "On the evolution of the wage premium for party membership in China," Department of Economics Working Papers wuwp351, Vienna University of Economics and Business, Department of Economics.
    6. Zagler, Martin & Amighini, Alessia & Fang, Weidi, 2023. "On the evolution of the wage premium for party membership in China," Department of Economics Working Paper Series 351, WU Vienna University of Economics and Business.
    7. Sina Otten, 2020. "Gender-Specific Personality Traits and Their Effects on the Gender Wage Gap: A Correlated Random Effects Approach using SOEP Data," SOEPpapers on Multidisciplinary Panel Data Research 1078, DIW Berlin, The German Socio-Economic Panel (SOEP).
    8. Ma, Xinxin, 2022. "Parenthood and the gender wage gap in urban China," Journal of Asian Economics, Elsevier, vol. 80(C).
    9. Choe, Chung & Oaxaca, Ronald L. & Renna, Francesco, 2020. "Income Taxation and Dual Job Labour Supply," IZA Discussion Papers 13107, Institute of Labor Economics (IZA).
    10. Chen, Yiu Por (Vincent) & Zhang, Yuan, 2018. "A decomposition method on employment and wage discrimination and its application in urban China (2002–2013)," World Development, Elsevier, vol. 110(C), pages 1-12.

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    More about this item

    Keywords

    decomposition; panel data; GSOEP; sample selection;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • C00 - Mathematical and Quantitative Methods - - General - - - General

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