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Assessing the Case for Social Experiments
Author(s) -
James J. Heckman,
Jeffrey A. Smith
Publication year - 1995
Publication title -
the journal of economic perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.614
H-Index - 196
eISSN - 1944-7965
pISSN - 0895-3309
DOI - 10.1257/jep.9.2.85
Subject(s) - econometrics , computer science , object (grammar) , psychology , management science , artificial intelligence , mathematics , economics
This paper analyzes the method of social experiments. The assumptions that justify the experimental method are exposited. Parameters of interest in evaluating social programs are discussed. The authors show how experiments sometimes serve as instrumental variables to identify program impacts. The most favorable case for experiments ignores variability across persons in response to treatments received and assumes that mean impacts of a program are the main object of interest in conducting an evaluation. Experiments do not identify the distribution of program gains unless additional assumptions are maintained. Evidence on the validity of the assumptions used to justify social experiments is presented.

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