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.
|Date of creation:||Sep 1994|
|Date of revision:|
|Publication status:||published as Review of Economics and Statistics, Vol. 80, no. 1 (1998): 1-14.|
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