Panel Data Binary Response Model in a Triangular System

University of Tartu - Faculty of Economics and Business Administration Working Paper Series, No. 110, 2018

Posted: 21 Aug 2018

See all articles by Amaresh K Tiwari

Amaresh K Tiwari

University of Tartu - Faculty of Economics and Business Administration

Date Written: August 8, 2018

Abstract

We propose a new control function (CF) method for binary response outcomes in a triangular system with unobserved heterogeneity of multiple dimensions. The identified CFs are the expected values of the heterogeneity terms in the reduced form equations conditional on the endogenous, Xi ≡ (xi1, . . . ,xiT ), and the exogenous, Zi ≡ (zi1, . . . , ziT ), variables. The method requires weaker restrictions compared to traditional CF methods for triangular systems with imposed structures similar to ours, and point-identifies average partial effects with discrete instruments. We discuss semiparametric identification of structural measures using the proposed CFs. An application and Monte Carlo experiments compare several alternative methods with ours.

Keywords: Control Functions, Unobserved Heterogeneity, Identification, Instrumental Variables, Average Partial Effects, Child Labor

JEL Classification: C13, C18, C33

Suggested Citation

Tiwari, Amaresh Kumar, Panel Data Binary Response Model in a Triangular System (August 8, 2018). University of Tartu - Faculty of Economics and Business Administration Working Paper Series, No. 110, 2018, Available at SSRN: https://ssrn.com/abstract=3228568

Amaresh Kumar Tiwari (Contact Author)

University of Tartu - Faculty of Economics and Business Administration ( email )

Narva Rd. 4-A214
Tartu 51009, 51009
Estonia

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