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The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator

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  • Tymon Słoczyński

Abstract

type="main" xml:id="obes12075-abs-0001"> In this paper I use the National Supported Work (NSW) data to examine the finite-sample performance of the Oaxaca–Blinder unexplained component as an estimator of the population average treatment effect on the treated (PATT). Precisely, I follow sample and variable selections from Dehejia and Wahba (1999), and conclude that Oaxaca–Blinder performs better than any of the estimators in this influential paper, provided that overlap is imposed. As a robustness check, I consider alternative sample (Smith and Todd, 2005) and variable (Abadie and Imbens, 2011) selections, and present a simulation study which is also based on the NSW data.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:obuest:v:77:y:2015:i:4:p:588-604
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    References listed on IDEAS

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    Cited by:

    1. Carrieri, V. & Jones, A.M., 2015. "The Income-Health Relationship “Beyond the Mean†: New Evidence from Biomarkers," Health, Econometrics and Data Group (HEDG) Working Papers 15/22, HEDG, c/o Department of Economics, University of York.
    2. Bryan S. Graham & Cristine Campos de Xavier Pinto, 2018. "Semiparametrically efficient estimation of the average linear regression function," Papers 1810.12511, arXiv.org.
    3. repec:sgh:gosnar:y:2017:i:2:p:29-43 is not listed on IDEAS
    4. Katarzyna Bech & Joanna Tyrowicz, 2017. "Estimating gender wage gap in the presence of efficiency wages -- evidence from European data," GRAPE Working Papers 20, GRAPE Group for Research in Applied Economics.
    5. Igor Jakubiak, 2015. "Immigrants in the United Kingdom: wage gap and origin," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 43.
    6. Giuseppe Albanese & Emanuele Ciani & Guido de Blasio, 2019. "Anything new in town? The local effects of Urban Regeneration Policies in Italy," Temi di discussione (Economic working papers) 1214, Bank of Italy, Economic Research and International Relations Area.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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