Accounting for Dropouts in Evaluations of Social Experiments

James Heckman, Jeffrey Smith, Christopher Taber

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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Year of publication:	September 1994
Authors:	Heckman, James
Other Persons:	Taber, Christopher (contributor) ; Smith, Jeffrey (contributor)
Institutions:	National Bureau of Economic Research (contributor)
Publisher:	Cambridge, Mass : National Bureau of Economic Research
Subject:	Experiment \| Bewertung \| Evaluation \| Abbrecher \| Drop-outs \| Theorie \| Theory \| Wirkungsanalyse \| Impact assessment

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Extent:	1 Online-Ressource
Series:	NBER technical working paper series ; no. t0166
Type of publication:	Book / Working Paper
Language:	English
Notes:	Mode of access: World Wide Web System requirements: Adobe [Acrobat] Reader required for PDF files Hardcopy version available to institutional subscribers.
Other identifiers:	10.3386/t0166 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012474066