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A nonparametric decomposition of the Mexican American average wage gap

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  • Ricardo Mora

    (Universidad Carlos III de Madrid, Madrid, Spain)

Abstract

This paper shows that average wage gap decompositions between any two groups of workers can be carried out using nonparametric wage structures. It also proposes an algorithm to correct for sample selection in nonparametric models known as tree structures. This paper studies the wage gap between third-generation Mexican American and non-Hispanic white workers in the southwest. It is shown that the decomposition heavily depends on functional assumptions, and that different aproaches to flexibility may render sufficiently good and similar results Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Ricardo Mora, 2008. "A nonparametric decomposition of the Mexican American average wage gap," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 463-485.
    • Handle: RePEc:jae:japmet:v:23:y:2008:i:4:p:463-485
    DOI: 10.1002/jae.1006
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    2. Hugo Ñopo, 2008. "Matching as a Tool to Decompose Wage Gaps," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 290-299, May.
    3. Tymon Sloczynski, 2018. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," Working Papers 127, Brandeis University, Department of Economics and International Business School.
    4. Bo E. Honoré & Luojia Hu, 2020. "Selection Without Exclusion," Econometrica, Econometric Society, vol. 88(3), pages 1007-1029, May.
    5. Almas Heshmati & Biwei Su, 2017. "Analysis Of Gender Wage Differential In China’S Urban Labor Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 423-445, June.
    6. Tymon Słoczyński, 2020. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," ILR Review, Cornell University, ILR School, vol. 73(3), pages 705-729, May.
    7. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
    8. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).
    9. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
    10. Ana Fernandes & Martin Huber & Giannina Vaccaro, 2021. "Gender differences in wage expectations," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-24, June.
    11. Myoung-jae Lee, 2017. "Extensive and intensive margin effects in sample selection models: racial effects on wages," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 817-839, June.
    12. Gustavo Saraiva Frio & Daniel De Abreu Pereira Uhr & Júlia Gallego Ziero Uhr & Paulo De Andrade Jacinto, 2018. "Oferta De Trabalho E Orientação Sexual: Evidências Para O Brasil," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 168, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    14. Alina Botezat & Ruben R. Seiberlich, 2013. "Educational performance gaps in Eastern Europe," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(4), pages 731-756, 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. Constantin Johnen & Oliver Mußhoff, 2023. "Digital credit and the gender gap in financial inclusion: Empirical evidence from Kenya," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(2), pages 272-295, March.

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