IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/115982.html
   My bibliography  Save this paper

Empirical likelihood inference for Oaxaca-Blinder decomposition

Author

Listed:
  • 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," LSE Research Online Documents on Economics 115982, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:115982
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/115982/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jing, Bing-Yi, 1995. "Two-sample empirical likelihood method," Statistics & Probability Letters, Elsevier, vol. 24(4), pages 315-319, September.
    2. 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.
    3. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LLC, vol. 8(4), pages 453-479, December.
    4. 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.
    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.
    6. Gregory, Allan W & Veall, Michael R, 1985. "Formulating Wald Tests of Nonlinear Restrictions," Econometrica, Econometric Society, vol. 53(6), pages 1465-1468, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Otsu, Taisuke & Tanaka, Shiori, 2022. "Empirical likelihood inference for Oaxaca–Blinder decomposition," Economics Letters, Elsevier, vol. 219(C).
    2. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2014. "Wealth differences across borders and the effect of real estate price dynamics: Evidence from two household surveys," BCL working papers 90, Central Bank of Luxembourg.
    3. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 202-238.
    4. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    5. Kilic, Talip & Palacios-López, Amparo & Goldstein, Markus, 2015. "Caught in a Productivity Trap: A Distributional Perspective on Gender Differences in Malawian Agriculture," World Development, Elsevier, vol. 70(C), pages 416-463.
    6. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    7. Azam Mehtabul & Han Luyi, 2020. "Accounting for Differences in Female Labor Force Participation between China and India," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-17, April.
    8. Oscar Molina Tejerina & Luis Castro Peñarrieta, 2020. "Unexplained Wage Gaps in the Tradable and Nontradable Sectors: Cross-Sectional Evidence by Gender in Bolivia," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 20(1), pages 5-23.
    9. Daniela Piazzalunga & Maria Laura Di Tommaso, 2019. "The increase of the gender wage gap in Italy during the 2008-2012 economic crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 171-193, June.
    10. Zhu, Rong, 2016. "Wage differentials between urban residents and rural migrants in urban China during 2002–2007: A distributional analysis," China Economic Review, Elsevier, vol. 37(C), pages 2-14.
    11. Johar, Meliyanni & Jones, Glenn & Keane, Micheal P. & Savage, Elizabeth & Stavrunova, Olena, 2013. "Discrimination in a universal health system: Explaining socioeconomic waiting time gaps," Journal of Health Economics, Elsevier, vol. 32(1), pages 181-194.
    12. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    13. Zhang, Li & Sharpe, Rhonda Vonshay & Li, Shi & Darity, William A., 2016. "Wage differentials between urban and rural-urban migrant workers in China," China Economic Review, Elsevier, vol. 41(C), pages 222-233.
    14. Domenico Depalo & Raffaela Giordano & Evangelia Papapetrou, 2015. "Public–private wage differentials in euro-area countries: evidence from quantile decomposition analysis," Empirical Economics, Springer, vol. 49(3), pages 985-1015, November.
    15. Mathä, Thomas Y. & Porpiglia, Alessandro & Ziegelmeyer, Michael, 2017. "Household wealth in the euro area: The importance of intergenerational transfers, homeownership and house price dynamics," Journal of Housing Economics, Elsevier, vol. 35(C), pages 1-12.
    16. Waitkus, Nora & Minkus, Lara, 2021. "Investigating the gender wealth gap across occupational classes," LSE Research Online Documents on Economics 108206, London School of Economics and Political Science, LSE Library.
    17. Arceo-Gómez, Eva O. & Campos-Vázquez, Raymundo M., 2014. "Evolución de la brecha salarial de género en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(323), pages .619-653, julio-sep.
    18. Vilerts Kārlis & Krasnopjorovs Oļegs, 2017. "Can Differences in Characteristics Explain Ethnic Wage Gap in Latvia?," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 30(1), pages 5-15, November.
    19. Forth, John & Jones, Melanie K., 2025. "The Disability Pay Gap Within and Across Firms," IZA Discussion Papers 17679, Institute of Labor Economics (IZA).
    20. Gabriella Berloffa & Francesca Paolini, 2019. "Decomposing Immigrant Differences in Physical and Mental Health: A 'Beyond the Mean' Analysis," DEM Working Papers 2019/4, Department of Economics and Management.

    More about this item

    Keywords

    empirical likelihood; Oaxaca–Blinder decomposition; 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:115982. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.