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Further results on Bayesian Method of Moments analysis of the multiple regression model

Tobias, Justin L.; Zellner, Arnold - 1998

Persistent link: https://www.econbiz.de/10000986039

Bayesian Method of Moments (BMOM) analysis of parametric and semiparametric regression models

Zellner, Arnold; Tobias, Justin L.; Ryu, Hang-keun - 1998

Persistent link: https://www.econbiz.de/10000986047

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

Bayesian semiparametric inference in multiple equation models

Koop, Gary (contributor); Poirier, Dale J. (contributor); … - 2003

Persistent link: https://www.econbiz.de/10002457180

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

Semiparametric Bayesian inference in multiple equation models

Koop, Gary; Poirier, Dale J.; Tobias, Justin L. - In: Journal of applied econometrics 20 (2005) 6, pp. 723-747

Persistent link: https://www.econbiz.de/10003168876

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

An alternate parpameterization for Bayesian nonparametric/semiparametric regression

Tobias, Justin L.; Chan, Joshua - 2019

Persistent link: https://www.econbiz.de/10012244166

An Alternate Parameterization for Bayesian Nonparametric/Semiparametric Regression

Tobias, Justin L.; Chan, Joshua C. C. - In: Topics in identification, limited dependent variables, …, (pp. 47-64). 2019

We present a new procedure for nonparametric Bayesian estimation of regression functions. Specifically, our method makes use of an idea described in Frühwirth-Schnatter and Wagner (2010) to impose linearity exactly (conditional upon an unobserved binary indicator), yet also permits departures...

Persistent link: https://www.econbiz.de/10015091171

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