Isolating the Roles of Individual Covariates in Reweighting Estimation

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 tw...

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Bibliographic Details
Published inJournal of applied econometrics (Chichester, England) Vol. 30; no. 7; pp. 1169 - 1191
Main Authors Elder, Todd E., Goddeeris, John H., Haider, Steven J.
Format Journal Article
LanguageEnglish
Published Chichester Blackwell Publishing Ltd 01.11.2015
Wiley (Variant)
Wiley Periodicals Inc
Subjects
Estimating techniques
Numerical analysis
Probability distribution
Racial differences
Racial differentiation
Studies
Wage differential
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Summary: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.
Bibliography:ark:/67375/WNG-F17XLK9Z-7
istex:A162A4787401BDFE7CDA0EFFE1BA0A24FA82D779
ArticleID:JAE2433
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0883-7252
1099-1255
DOI:10.1002/jae.2433