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Simple estimators for treatment parameters in a latent-variable framework

Heckman, James J.; Tobias, Justin L.; Vytlacil, Edward - In: The review of economics and statistics 85 (2003) 3, pp. 748-755

Persistent link: https://www.econbiz.de/10001791796

On the predictive distributions of outcome gains in the presence of an unidentified parameter

Poirier, Dale J.; Tobias, Justin L. - In: Journal of business & economic statistics : JBES ; a … 21 (2003) 2, pp. 258-268

Persistent link: https://www.econbiz.de/10001757475

Simple estimators for treatment parameters in a latent variable framework with an application to estimating the returns to schooling

Heckman, James J.; Tobias, Justin L.; Vytlacil, Edward - 2000

Persistent link: https://www.econbiz.de/10001520893

Simple Estimators for Treatment Parameters in a Latent Variable Framework with an Application to Estimating the Returns to Schooling

Heckman, James J.; Tobias, Justin L.; Vytlacil, Edward - 2021

This paper derives simply computed closed-form expressions for the Average Treatment Effect (ATE), the effect of Treatment on the Treated (TT), Local Average Treatment Effect (LATE) and Marginal Treatment Effect (MTE) in a latent variable framework for both normal and non-normal models. The...

Persistent link: https://www.econbiz.de/10013237927

Simple Estimators for Treatment Parameters in a Latent Variable Framework with an Application to Estimating the Returns to Schooling

Heckman, James J. - 2000

Persistent link: https://www.econbiz.de/10012470786

Bayesian Methods in Microeconometrics

Li, Minglian; Tobias, Justin - In: The Oxford handbook of Bayesian econometrics. 2012

Persistent link: https://www.econbiz.de/10013476735