Efficient semiparametric copula estimation of regression models with endogeneity

Tran, Kien C. and Tsionas, Mike G. (2022) Efficient semiparametric copula estimation of regression models with endogeneity. Econometric Reviews, 41 (5). pp. 485-504. ISSN 0747-4938

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Abstract

An efficient sieve maximum likelihood estimation procedure for regression models with endogenous regressors using a copula-based approach is proposed. Specifically, the joint distribution of the endogenous regressor and the error term is characterized by a parametric copula function evaluated at the nonparametric marginal distributions. The asymptotic properties of the proposed estimator are derived, including semiparametrically efficient property. Monte Carlo simulations reveal that the proposed method performs well in finite samples comparing to other existing methods. An empirical application is presented to demonstrate the usefulness of the proposed approach.

Item Type:
Journal Article
Journal or Publication Title:
Econometric Reviews
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2000/2002
Subjects:
?? economics and econometricseconomics and econometrics ??
ID Code:
212716
Deposited By:
Deposited On:
11 Jan 2024 14:00
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 22:50