TY  - JOUR
AU  - Heckman,James
AU  - Smith,Jeffrey
AU  - Taber,Christopher
TI  - Accounting for Dropouts in Evaluations of Social Experiments
JF  - National Bureau of Economic Research Technical Working Paper Series
VL  - No. 166
PY  - 1994
Y2  - September 1994
UR  - http://www.nber.org/papers/t0166
L1  - http://www.nber.org/papers/t0166.pdf
N1  - Author contact info:
James J. Heckman
Department of Economics
The University of Chicago
1126 E. 59th Street
Chicago, IL 60637
Tel: 773/702-0634
Fax: 773/702-8490
E-Mail: jjh@uchicago.edu

Jeffrey Smith
Department of Economics
University of Michigan
238 Lorch Hall
611 Tappan Street
Ann Arbor, MI 48109-1220
Tel: 734/764-5359
E-Mail: econjeff@umich.edu

Christopher R. Taber
Department of Economics
University of Wisconsin -Madison
1180 Observatory Dr
Social Sciences Building #6448
Madison, WI 53706-1320
Tel: (608) 263-7791
Fax: (608) 262-2033
E-Mail: ctaber@ssc.wisc.edu
AB  - 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.
ER  -