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Mean and quantile regression Oaxaca-Blinder decompositions with an application to caste discrimination

Author

Listed:
  • Gabriel Montes-Rojas

    (Universitat Autònoma de Barcelona
    City University London)

  • Lucas Siga

    (New York University-Abu Dhabi)

  • Ram Mainali

    (Ministry of Finance)

Abstract

This paper extends the Oaxaca-Blinder decomposition method to the quantile regression random-coefficients framework. Mean-based decompositions are obtained as the integration of the quantile regression decomposition process. This method allows identifying if the observed differences between two groups differ across quantiles, and if so, what is the contribution to the mean-based Oaxaca-Blinder decomposition. The proposed methodology is applied to the analysis of caste discrimination in Nepal. The results indicate that much of the discrimination occurs at the lowest quantiles, which implies that disadvantaged groups are the ones who suffer the most caste discrimination.

Suggested Citation

  • Gabriel Montes-Rojas & Lucas Siga & Ram Mainali, 2017. "Mean and quantile regression Oaxaca-Blinder decompositions with an application to caste discrimination," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(3), pages 245-255, September.
  • Handle: RePEc:spr:joecin:v:15:y:2017:i:3:d:10.1007_s10888-017-9355-9
    DOI: 10.1007/s10888-017-9355-9
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    2. Chantreuil, Frédéric & Fourrey, Kévin & Lebon, Isabelle & Rebière, Thérèse, 2021. "Magnitude and evolution of gender and race contributions to earnings inequality across US regions," Research in Economics, Elsevier, vol. 75(1), pages 45-59.
    3. Kafle, Kashi & Songsermsawas, Tisorn & Winters, Paul, 2021. "Decomposing the impacts of an agricultural value chain investment by gender and ethnicity: The case of Nepal," 2021 Annual Meeting, August 1-3, Austin, Texas 313941, Agricultural and Applied Economics Association.
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    6. John Ariza & Gabriel Montes-Rojas, 2019. "Decomposition methods for analyzing inequality changes in Latin America 2002–2014," Empirical Economics, Springer, vol. 57(6), pages 2043-2078, December.
    7. Frederic Chantreuil & Kévin Fourrey & Thérèse Rebière & Isabelle Lebon, 2020. "Decomposing US Income Inequality à la Shapley: Race Matters, but Gender Too," Working Papers hal-02552244, HAL.
    8. Pallavi Gupta & Satyanarayan Kothe, 2021. "Interpreting the Caste-based Earning Gaps in the Indian Labour Market: Theil and Oaxaca Decomposition Analysis," Papers 2110.06822, arXiv.org.
    9. Romuald Foueka, 2020. "Analyse du différentiel de performances scolaires dans les pays PASEC sur la base de la régression quantile contrefactuelle," African Development Review, African Development Bank, vol. 32(4), pages 605-618, December.
    10. Songsermsawas, Tisorn & Kafle, Kashi & Winters, Paul, 2023. "Decomposing the impacts of an agricultural value chain development project by ethnicity and gender in Nepal," World Development, Elsevier, vol. 168(C).

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