Accounting for Dropouts in Evaluations of Social Experiments

Preprint
Publisher Website
Google Scholar
    • preprint
      • Published in RePEc
Abstract
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.
All Related Versions

This publication has 0 references indexed in Scilit: