Semiparametric transformation model with endogeneity: a control function approach

Abstract

We consider a semiparametric transformation model, in which the regression function has an additive nonparametric structure and the transformation of the response is assumed to belong to some parametric family. We suppose that endogeneity is present in the explanatory variables. Using a control function approach, we show that the pro- posed model is identified under suitable assumptions, and propose a profile likelihood estimation method for the transformation. The proposed estimator is shown to be asymptotically normal under certain regularity conditions. A small simulation study shows that the estimator behaves well in practice.

Replaced by

Ingrid Van Keilegom, and Anne Vanhems, “Estimation of a semiparametric transformation model in the presence of endogenety”, Econometric Theory, vol. 35, n. 1, February 2019, pp. 73–110.

Reference

Ingrid Van Keilegom, and Anne Vanhems, “Semiparametric transformation model with endogeneity: a control function approach”, TSE Working Paper, n. 11-243, May 13, 2011.