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Four Parameters of Interest in the Evaluation of Social Programs Author info | Abstract | Publisher info | Download info | Related research | Statistics James Heckman () (Department of Economics, University of Chicago)
Justin L. Tobias () (Department of Economics, University of California-Irvine)
Edward Vytlacil () (Department of Economics, Stanford University)
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This paper reviews four treatment parameters that have become commonly used in the program evaluation literature: the average treatment effect, the effect of treatment on the treated, the local average treatment effect, and the marginal treatment effect. We derive simply computed closed-form expressions for these treatment parameters in a latent variable framework with Gaussian error terms. These parameters can be estimated using nothing more than output from a standard two-step procedure. We also briefly describe recent work that seeks to go beyond mean effects and estimate the distributions associated with various outcome gains. The techniques presented in the paper are applied to estimate the return to some form of college education for various populations using data from the National Longitudinal Survey of Youth.
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Article provided by Southern Economic Association in its journal Southern Economic Journal .
Volume (Year): 68 (2001)
Issue (Month): 2 (October)
Pages: 210-223
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Handle: RePEc:sej:ancoec:v:68:2:y:2001:p:210-223Contact details of provider: Web page: http://www.southerneconomic.org/ More information through EDIRC
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