Simple Estimators for Treatment Parameters in a Latent Variable Framework
AbstractThis note derives simply computed closed-form expressions for the Average Treatment Effect (ATE), the effect of Treatment on the Treated (TT), the Local Average Treatment Effect (LATE) and Marginal Treatment Effect (MTE) in a latent variable framework for both normal and non-normal models. Asymptotic standard errors for versions of these parameters which average over observed characteristics are also obtained. The performances of the derived estimators are also evaluated in several Monte Carlo experiments under correct and misspecification.
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 12012.
Date of creation: 01 Jan 2003
Date of revision:
Publication status: Published in Review of Economics and Statistics 2003, vol. 85, pp. 748-755
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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
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Web page: http://www.econ.iastate.edu
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- James Heckman & Justin L. Tobias & Edward Vytlacil, 2003. "Simple Estimators for Treatment Parameters in a Latent-Variable Framework," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 748-755, August.
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