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Accounting for Dropouts in Evaluations of Social Experiments

James Heckman, Jeffrey Smith () and Christopher Taber

No 166, NBER Technical Working Papers from National Bureau of Economic Research, Inc

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.

JEL-codes: C81 C34 (search for similar items in EconPapers)
Date: 1994-09
Note: LS
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Published as Review of Economics and Statistics, Vol. 80, no. 1 (1998): 1-14.

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Related works:
Working Paper: Accounting for Dropouts in Evaluations of Social Experiments (1994)
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