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Empirical likelihood inference for Oaxaca–Blinder decomposition

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  • Otsu, Taisuke
  • Tanaka, Shiori

Abstract

This paper proposes an empirical likelihood inference method for the Oaxaca–Blinder decompositions. In contrast to the conventional Wald statistic using the delta method, our approach circumvents the linearization errors and estimation of the variance terms. Furthermore, the shape of the resulting empirical likelihood confidence set is determined flexibly by data. Simulation results illustrate usefulness of the proposed inference method.

Suggested Citation

  • Otsu, Taisuke & Tanaka, Shiori, 2022. "Empirical likelihood inference for Oaxaca–Blinder decomposition," Economics Letters, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:ecolet:v:219:y:2022:i:c:s0165176522002981
    DOI: 10.1016/j.econlet.2022.110812
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    References listed on IDEAS

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    1. Gregory, Allan W & Veall, Michael R, 1985. "Formulating Wald Tests of Nonlinear Restrictions," Econometrica, Econometric Society, vol. 53(6), pages 1465-1468, November.
    2. Jing, Bing-Yi, 1995. "Two-sample empirical likelihood method," Statistics & Probability Letters, Elsevier, vol. 24(4), pages 315-319, September.
    3. 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.
    4. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    5. 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.
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    More about this item

    Keywords

    Oaxaca–Blinder decomposition; Empirical likelihood; Two-sample test;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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