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|
|Date of revision:|
|Contact details of provider:|| Postal: UNIVERSITY OF CHICAGO, ECONOMICS RESEARCH CENTER, NORC, CHICAGO ILLINOIS 60637 U.S.A.|
Web page: http://economics.uchicago.edu/research.shtml
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"Identification and Estimation of Local Average Treatment Effects,"
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- Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
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0117, National Bureau of Economic Research, Inc.
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- Gary Burtless, 1985.
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Cornell University, ILR School, vol. 39(1), pages 105-114, October.
- Gary Burtless, 1985. "Are targeted wage subsidies harmful? Evidence from a wage voucher experiment," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 39(1), pages 105-114, October.
- James J. Heckman, 1991. "Randomization and Social Policy Evaluation," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
- Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-18, May.
- Arulampalam, W. & Robin A. Naylor & Jeremy P. Smith, 2002. "University of Warwick," Royal Economic Society Annual Conference 2002 9, Royal Economic Society.
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