A note on adapting propensity score matching and selection models to choice based samples
James Heckman and
Petra Todd
Econometrics Journal, 2009, vol. 12, issue s1, S230-S234
Abstract:
The probability of selection into treatment plays an important role in matching and selection models. However, this probability can often not be consistently estimated, because of choice-based sampling designs with unknown sampling weights. This note establishes that the selection and matching procedures can be implemented using propensity scores fit on choice-based samples with misspecified weights, because the odds ratio of the propensity score fit on the choice-based sample is monotonically related to the odds ratio of the true propensity scores. Copyright (C) The Author(s). Journal compilation (C) Royal Economic Society 2009
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (55)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples (2009) 
Working Paper: A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples (2009) 
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:ect:emjrnl:v:12:y:2009:i:s1:p:s230-s234
Ordering information: This journal article can be ordered from
http://www.ectj.org
Access Statistics for this article
Econometrics Journal is currently edited by Richard J. Smith, Oliver Linton, Pierre Perron, Jaap Abbring and Marius Ooms
More articles in Econometrics Journal from Royal Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().