Online Appendix: Estimation in a Generalization of Bivariate Probit Models with Dummy Endogenous Regressors

40 Pages Posted: 29 Mar 2019

See all articles by Sukjin Han

Sukjin Han

University of Texas at Austin - Department of Economics

Sungwon Lee

Sogang University

Date Written: March 4, 2019

Abstract

Full paper is available at: https://ssrn.com/abstract=3233422

This online appendix contains all the proofs of the main results in Han and Lee (2018), technical assumptions, and additional simulation results. Section A contains the proofs of the identification/non-identification results. Section B collects the proofs in the asymptotic theory of the sieve ML estimators, related technical assumptions, and other expressions. Finally, Section C shows more simulation results.

Suggested Citation

Han, Sukjin and Lee, Sungwon, Online Appendix: Estimation in a Generalization of Bivariate Probit Models with Dummy Endogenous Regressors (March 4, 2019). Available at SSRN: https://ssrn.com/abstract=3346834 or http://dx.doi.org/10.2139/ssrn.3346834

Sukjin Han

University of Texas at Austin - Department of Economics ( email )

Austin, TX 78712
United States

Sungwon Lee (Contact Author)

Sogang University ( email )

35 Baekbeom-ro Mapo-gu
GN 710
Seoul, 04107
Korea, Republic of (South Korea)

HOME PAGE: http://https://sites.google.com/site/sungwonleewebpage

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