Accounting for Dropouts in Evaluations of Social Experiments

43 Pages Posted: 9 Jul 2000 Last revised: 17 Jun 2022

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)

Jeffrey A. Smith

University of Wisconsin - Madison; National Bureau of Economic Research (NBER); Institute for the Study of Labor (IZA)

Christopher Taber

National Bureau of Economic Research (NBER); University of Wisconsin - Madison

Date Written: September 1994

Abstract

This paper considers the statistical and economic justification for one widely-used method of adjusting data from social experiments to account for dropping-out behavior due to Bloom (1984). We generalize the method to apply to distributions not just means, and present tests of the key identifying assumption in this context. A reanalysis of the National JTPA experiment base vindicates application of Bloom's method in this context.

Suggested Citation

Heckman, James J. and Smith, Jeffrey Andrew and Taber, Christopher R., Accounting for Dropouts in Evaluations of Social Experiments (September 1994). NBER Working Paper No. t0166, Available at SSRN: https://ssrn.com/abstract=225131

James J. Heckman (Contact Author)

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Jeffrey Andrew Smith

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Christopher R. Taber

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University of Wisconsin - Madison ( email )

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