A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples

12 Pages Posted: 28 Jul 2009

See all articles by James J. Heckman

James J. Heckman

University of Chicago - Department of Economics; National Bureau of Economic Research (NBER); American Bar Foundation; Institute for the Study of Labor (IZA); CESifo (Center for Economic Studies and Ifo Institute)

Petra Todd

University of Pennsylvania - Department of Economics; National Bureau of Economic Research (NBER); IZA Institute of Labor Economics

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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.

Keywords: choice-based sampling, matching models, propensity scores, selection models

JEL Classification: C52

Suggested Citation

Heckman, James J. and Todd, Petra, A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples. IZA Discussion Paper No. 4304, Available at SSRN: https://ssrn.com/abstract=1439157 or http://dx.doi.org/10.2139/ssrn.1439157

James J. Heckman (Contact Author)

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Petra Todd

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