Key points are not available for this paper at this time.
This paper reviews four treatment parameters which have become commonly used in the program evaluation literature: the Average Treatment Effect (ATE), the effect of Treatment on the Treated (TT), the Local Average Treatment Effect (LATE) and the Marginal Treatment Effect (MTE). We derive simply computed closed-form expressions for these treatment parameters in a latent variable framework with Gaussian error terms. We also briefly describe recent work which seeks to go beyond mean effects and estimate the distributions associated with various outcome gains.
Heckman et al. (Mon,) studied this question.