IDEAS home Printed from https://ideas.repec.org/a/aea/apandp/v112y2022p356-60.html
   My bibliography  Save this article

Measuring Changes in Disparity Gaps: An Application to Health Insurance

Author

Listed:
  • Paul Goldsmith-Pinkham
  • Karen Jiang
  • Zirui Song
  • Jacob Wallace

Abstract

We propose a method for reporting how program evaluations reduce gaps between groups, such as the gender or Black-White gap. We first show that the reduction in disparities between groups can be written as the difference in conditional average treatment effects (CATE) for each group. Then, using a Kitagawa-Oaxaca-Blinder-style decomposition, we highlight how these CATE can be decomposed into unexplained differences in CATE in other observables versus differences in composition across other observables (e.g. the "endowment"). Finally, we apply this approach to study the impact of Medicare on American's access to health insurance.

Suggested Citation

  • Paul Goldsmith-Pinkham & Karen Jiang & Zirui Song & Jacob Wallace, 2022. "Measuring Changes in Disparity Gaps: An Application to Health Insurance," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 356-360, May.
  • Handle: RePEc:aea:apandp:v:112:y:2022:p:356-60
    DOI: 10.1257/pandp.20221111
    as

    Download full text from publisher

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20221111
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20221111.appx
    Download Restriction: no

    File URL: https://www.aeaweb.org/doi/10.1257/pandp.20221111.ds
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

    File URL: https://libkey.io/10.1257/pandp.20221111?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Timothy B. Armstrong & Michal Kolesár, 2018. "Optimal Inference in a Class of Regression Models," Econometrica, Econometric Society, vol. 86(2), pages 655-683, March.
    2. Alan I. Barreca & Melanie Guldi & Jason M. Lindo & Glen R. Waddell, 2011. "Saving Babies? Revisiting the effect of very low birth weight classification," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 2117-2123.
    3. Janet Currie & John Voorheis & Reed Walker, 2023. "What Caused Racial Disparities in Particulate Exposure to Fall? New Evidence from the Clean Air Act and Satellite-Based Measures of Air Quality," American Economic Review, American Economic Association, vol. 113(1), pages 71-97, January.
    4. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    5. Peng Ding & Avi Feller & Luke Miratrix, 2019. "Decomposing Treatment Effect Variation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(525), pages 304-317, January.
    6. 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.
    7. 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.
    8. 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.
    9. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    10. Patrick Kline, 2011. "Oaxaca-Blinder as a Reweighting Estimator," American Economic Review, American Economic Association, vol. 101(3), pages 532-537, May.
    11. Janet Currie & John Voorheis & Reed Walker, 2020. "What Caused Racial Disparities in Particulate Exposure to Fall? New Evidence from the Clean Air Act and Satellite-Based Measures of Air Quality," NBER Working Papers 26659, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Flores-Lagunes, Alfonso & Jales, Hugo B. & Liu, Judith & Wilson, Norbert L., 2023. "Moving Policies Toward Racial and Ethnic Equality: The Case of the Supplemental Nutrition Assistance Program," GLO Discussion Paper Series 1272, Global Labor Organization (GLO).

    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. Hansen, Henrik & Rand, John & Win, Ngu Wah, 2022. "The gender wage gap in Myanmar: Adding insult to injury?," Journal of Asian Economics, Elsevier, vol. 81(C).
    2. Sloczynski, Tymon, 2018. "Average Gaps and Oaxaca's Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," IZA Discussion Papers 12041, Institute of Labor Economics (IZA).
    3. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    4. 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.
    5. Michaela Fuchs & Anja Rossen & Antje Weyh & Gabriele Wydra‐Somaggio, 2021. "Where do women earn more than men? Explaining regional differences in the gender pay gap," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 1065-1086, November.
    6. repec:iad:wpaper:0120 is not listed on IDEAS
    7. 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.
    8. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
    9. Gustavo Canavire-Bacarreza & Luis C. Carvajal-Osorio, 2020. "Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes," Journal of Labor Research, Springer, vol. 41(1), pages 128-168, June.
    10. Gustavo Adolfo García & Diego René Gonzales Miranda & Oscar Gallo & Juan Pablo Roman Calderon, 2020. "Millennials and the gender wage gap: Do millennial women face a glass ceiling?," Documentos de Trabajo de Valor Público 18409, Universidad EAFIT.
    11. Nicola Gagliardi & Benoît Mahy & François Rycx, 2021. "Upstreamness, Wages and Gender: Equal Benefits for All?," British Journal of Industrial Relations, London School of Economics, vol. 59(1), pages 52-83, March.
    12. 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.
    13. Kaya Ezgi, 2021. "Gender wage gap across the distribution: What is the role of within- and between-firm effects?," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 12(1), pages 1-49, January.
    14. Melanie Jones & Ezgi Kaya, 2024. "Performance‐related pay and the UK gender pay gap," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 63(4), pages 512-529, October.
    15. Joanna Małgorzata Landmesser, 2019. "Decomposition Of Gender Wage Gap In Poland Using Counterfactual Distribution With Sample Selection," Statistics in Transition New Series, Polish Statistical Association, vol. 20(3), pages 171-186, September.
    16. Bonaccolto-Töpfer, Marina & Briel, Stephanie, 2022. "The gender pay gap revisited: Does machine learning offer new insights?," Labour Economics, Elsevier, vol. 78(C).
    17. Gagnon, Nickolas & Bosmans, Kristof & Riedl, Arno, 2020. "The Effect of Unfair Chances and Gender Discrimination on Labor Supply," Research Memorandum 005, Maastricht University, Graduate School of Business and Economics (GSBE).
    18. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    19. Mahalia Jackman & Kishmar Lorde, 2021. "Gaps in the (paid) work hours of male and female heads of households: empirical evidence from Barbados," International Journal of Manpower, Emerald Group Publishing Limited, vol. 42(7), pages 1321-1337, January.
    20. Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
    21. Nathan Blascak & Anna Tranfaglia, 2021. "Decomposing Gender Differences in Bankcard Credit Limits," Finance and Economics Discussion Series 2021-072, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:aea:apandp:v:112:y:2022:p:356-60. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.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.