ISSN:
0081-1750
,
0081-1750
Language:
English
Pages:
1 Online-Ressource (22 Seiten)
Publ. der Quelle:
London [u.a.] : Sage Publ.
Angaben zur Quelle:
53,2, Seiten 344-365
DDC:
300
Keywords:
decomposition
;
matching
;
Kitagawa-Blinder-Oaxaca
;
simulation
;
Sozialwissenschaften
Abstract:
Decompositions make it possible to investigate whether gaps between groups in certain outcomes would remain if groups had comparable characteristics. In practice, however, such a counterfactual comparability is difficult to establish in the presence of lacking common support, functional-form misspecification, and insufficient sample size. In this article, the authors show how decompositions can be undermined by these three interrelated issues by comparing the results of a regression-based Kitagawa-Blinder-Oaxaca decomposition and matching decompositions applied to simulated and real-world data. The results show that matching decompositions are robust to issues of common support and functional-form misspecification but demand a large number of observations. Kitagawa-Blinder-Oaxaca decompositions provide consistent estimates also for smaller samples but require assumptions for model specification and, when common support is lacking, for model-based extrapolation. The authors recommend that any decomposition benefits from using a matching approach first to assess potential problems of common support and misspecification.
Abstract:
Peer Reviewed
DOI:
10.1177/00811750231169729
URN:
urn:nbn:de:kobv:11-110-18452/27652-3
URL:
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