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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Year of publication:	1994-09
Authors:	Smith, Jeffrey Andrew ; Heckman, James ; Taber, Christopher
Institutions:	National Bureau of Economic Research (NBER)

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Extent:	application/pdf
Series:	NBER Technical Working Papers.
Type of publication:	Book / Working Paper
Notes:	LS published as Review of Economics and Statistics, Vol. 80, no. 1 (1998): 1-14. Number 0166
Classification:	C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; C34 - Truncated and Censored Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005601526