IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp16188.html
   My bibliography  Save this paper

Oaxaca-Blinder Meets Kitagawa: What Is the Link?

Author

Listed:
  • Oaxaca, Ronald L.

    (University of Arizona)

  • Sierminska, Eva

    (LISER (CEPS/INSTEAD))

Abstract

Recently, papers have started combining the naming of two popular decomposition methods: the Oaxaca-Blinder method and the Kitagawa method, a popular method in demographics and sociology. Although the two approaches have the same objective in terms of decomposing outcome differences in some variable of interest between two populations, they are framed quite differently and do not overlap except in a special set of circumstances. Consequently, the combined labeling of these two approaches can be misleading. This note establishes the conditions under which the two methodologies are identical and when they are not. It also provides the citation history of the two methods and examples of "misuses" of the naming convention when the methods are not equivalent, accompanied by a proposal for the way forward.

Suggested Citation

  • Oaxaca, Ronald L. & Sierminska, Eva, 2023. "Oaxaca-Blinder Meets Kitagawa: What Is the Link?," IZA Discussion Papers 16188, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp16188
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp16188.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. Nora Waitkus & Lara Minkus, 2021. "Investigating the Gender Wealth Gap Across Occupational Classes," Feminist Economics, Taylor & Francis Journals, vol. 27(4), pages 114-147, October.
    5. 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.
    6. Chen, Yunwei & Sylvia, Sean & Wu, Paiou & Yi, Hongmei, 2022. "Explaining the declining utilization of village clinics in rural China over time: A decomposition approach," Social Science & Medicine, Elsevier, vol. 301(C).
    7. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    8. Hannes Kröger & Jörg Hartmann, 2021. "Extending the Kitagawa–Oaxaca–Blinder decomposition approach to panel data," Stata Journal, StataCorp LP, vol. 21(2), pages 360-410, June.
    9. 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.
    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. Jakub Picka, 2014. "Problém "public-private pay gap" v České republice [The Public-Private Pay Gap in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(5), pages 662-682.
    2. Ben Jann, 2008. "A Stata implementation of the Blinder-Oaxaca decomposition," ETH Zurich Sociology Working Papers 5, ETH Zurich, Chair of Sociology, revised 14 May 2008.
    3. Powers, Daniel A. & Yun, Myeong-Su, 2009. "Multivariate Decomposition for Hazard Rate Models," IZA Discussion Papers 3971, Institute of Labor Economics (IZA).
    4. 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.
    5. Dohmen, Thomas & Lehmann, Hartmut & Zaiceva, Anzelika, 2008. "The gender earnings gap inside a Russian firm : first evidence from personnel data - 1997 to 2002," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 41(2/3), pages 157-179.
    6. Fairlie, Robert W., 2003. "An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models," Center Discussion Papers 28425, Yale University, Economic Growth Center.
    7. Tim Leunig & Maria Stanfors, 2010. "Piece-rates and prosperity: evidence from the late nineteenth-century tobacco industry," Working Papers 10003, Economic History Society.
    8. S. Madheswaran & Smrutirekha Singhari, 2016. "Social exclusion and caste discrimination in public and private sectors in India: A decomposition analysis," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 59(2), pages 175-201, June.
    9. Ramskogler, Paul & Riedl, Aleksandra & Schoiswohl, Florian, 2020. "Swinging female labor demand – How the public sector influences gender wage gaps in Europe," Department of Economics Working Paper Series 302, WU Vienna University of Economics and Business.
    10. 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.
    11. Ravi Srivastava, 2019. "Emerging Dynamics of Labour Market Inequality in India: Migration, Informality, Segmentation and Social Discrimination," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 62(2), pages 147-171, June.
    12. Hanewald, Katja & Jia, Ruo & Liu, Zining, 2021. "Why is inequality higher among the old? Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    13. O B Bodvarsson & John Sessions, 2010. "Nationality Discrimination in the Labor Market: Theory and Test," Department of Economics Working Papers 08/10, University of Bath, Department of Economics.
    14. Oliver Bachmann & Klaus Gründler & Niklas Potrafke & Ruben Seiberlich, 2021. "Partisan bias in inflation expectations," Public Choice, Springer, vol. 186(3), pages 513-536, March.
    15. R. Mussa, 2014. "Extending the Oaxaca-Blinder Decomposition to the Independent Double Hurdle Model: With Application to Parental Spending on Education in Malawi," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 38(3), pages 39-54, December.
    16. Tudorel ANDREI & Bogdan OANCEA & Andreea MIRICA, 2017. "Action against Income Discrimination. Case Study: Roma Minority in Romania," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(4), pages 19-36.
    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. Yuriy Pylypchuk & James B. Kirby, 2017. "The role of marriage in explaining racial and ethnic disparities in access to health care for men in the US," Review of Economics of the Household, Springer, vol. 15(3), pages 807-832, September.
    19. Shahen, Mostafa E. & Kotani, Koji & Kakinaka, Makoto & Managi, Shunsuke, 2020. "Wage and labor mobility between public, formal private and informal private sectors in a developing country," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 101-113.
    20. Robert Breunig & Sandrine Rospabe, 2005. "Parametric vs. semi-parametric estimation of the male-female wage gap: An application to France," ANU Working Papers in Economics and Econometrics 2005-458, Australian National University, College of Business and Economics, School of Economics.

    More about this item

    Keywords

    decomposition methods; economics; demography;
    All these keywords.

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • J0 - Labor and Demographic Economics - - 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:iza:izadps:dp16188. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.