Combining information from Heckman and matching estimators: testing and controlling for hidden bias

Gerald Makepeace and Michael Peel

Economics Bulletin, 2013, vol. 33, issue 3, 2422-2436

Abstract: We demonstrate how the Heckman methodology can be applied to the Rosenbaum sensitivity model and the Rubin matched difference estimator. We develop a statistical test of the conditional independence assumption (CIA), based on Heckit for matched pairs. If the CIA is rejected, the method facilitates the estimation of matched treatment effects adjusted for hidden bias. We illustrate this methodology empirically for the full-time/part-time pay gap for British women. The proposed method has clear utility in establishing whether propensity score matched treatment estimates are prone to unobserved selection bias and for controlling for such bias

Keywords: matching; Rosenbaum bounds; Heckit; unobserved bias; women's part-time pay penalty (search for similar items in EconPapers)
JEL-codes: C1 J3 (search for similar items in EconPapers)
Date: 2013-09-19
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I3-P227.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ebl:ecbull:eb-13-00321

Access Statistics for this article

More articles in Economics Bulletin from AccessEcon
Bibliographic data for series maintained by John P. Conley ().