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Isolating the Roles of Individual Covariates in Reweighting Estimation

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  • Todd E. Elder
  • John H. Goddeeris
  • Steven J. Haider
Abstract
A host of recent research has used reweighting methods to analyze the extent to which observable characteristics predict between‐group differences in the distribution of an outcome. Less attention has been paid to using reweighting methods to isolate the roles of individual covariates. We analyze two approaches that have been used in previous studies, and we propose a new approach that examines the role of one covariate while holding the marginal distribution of the other covariates constant. We illustrate the differences between the methods with a numerical example and an empirical analysis of black–white wage differentials among males. Copyright © 2015 John Wiley & Sons, Ltd.

Suggested Citation

  • Todd E. Elder & John H. Goddeeris & Steven J. Haider, 2015. "Isolating the Roles of Individual Covariates in Reweighting Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1169-1191, November.
    • Handle: RePEc:wly:japmet:v:30:y:2015:i:7:p:1169-1191
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    Cited by:

    1. Elder, Todd E. & Goddeeris, John H. & Haider, Steven J., 2016. "Racial and ethnic infant mortality gaps and the role of socio-economic status," Labour Economics, Elsevier, vol. 43(C), pages 42-54.
    2. Daniel McMillen & Chihiro Shimizu, 2021. "Decompositions of house price distributions over time: The rise and fall of Tokyo house prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1290-1314, December.

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