Choosing among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The Case of Manpower Training
作者:
JamesJ. Heckman,
V.Joseph Hotz,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1989)
卷期:
Volume 84,
issue 408
页码: 862-874
ISSN:0162-1459
年代: 1989
DOI:10.1080/01621459.1989.10478848
出版商: Taylor & Francis Group
关键词: Evaluation;Model-selection tests;Selection bias
数据来源: Taylor
摘要:
The recent literature on evaluating manpower training programs demonstrates that alternative nonexperimental estimators of the same program produce an array of estimates of program impact. These findings have led to the call for experiments to be used to perform credible program evaluations. Missing in all of the recent pessimistic analyses of nonexperimental methods is any systematic discussion of how to choose among competing estimators. This article explores the value of simple specification tests in selecting an appropriate nonexperimental estimator. A reanalysis of the National Supported Work Demonstration data previously analyzed by proponents of social experiments reveals that a simple testing procedure eliminates the range of nonexperimental estimators at variance with the experimental estimates of program impact.
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