Accounting for Dropouts in Evaluations of Social Experiments
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.
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|Date of creation:||1994|
|Contact details of provider:|| Postal: UNIVERSITY OF CHICAGO, ECONOMICS RESEARCH CENTER, NORC, CHICAGO ILLINOIS 60637 U.S.A.|
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- Angrist, J.D. & Imbens, G.W., 1991.
"Sources of Identifying Information in Evaluation Models,"
Harvard Institute of Economic Research Working Papers
1568, Harvard - Institute of Economic Research.
- Joshua D. Angrist & Guido W. Imbens, 1991. "Sources of Identifying Information in Evaluation Models," NBER Technical Working Papers 0117, National Bureau of Economic Research, Inc.
- Angrist, J.D. & Imbens, G.W., 1991. "Sources of Identifying Information in Evaluation Models," Papers 9142, Tilburg - Center for Economic Research.
- Angrist, J.D. & Imbens, G.W., 1991. "Sources of identifying information in evaluation models," Discussion Paper 1991-42, Tilburg University, Center for Economic Research.
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