Estimation of Binary Response Models With Endogenous Regressors

Changhui Kang, Myoung Jae Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This paper reviews six approaches to binary response (y1) structural forms with an endogenous regressor y2: (i) the two-stage least squares estimator-like substitution approach, (ii) the control function approach, (iii) the system reduced-form approach, (iv) the artificial instrumental regressor approach, (v) the transformed-response instrumental variable estimator approach and (vi) the classical maximum likelihood estimator approach. The applicability of the six methods differs greatly, depending on whether y2 is a continuously distributed random variable or a discrete transformation of a latent y 2 *. We conduct a real-data-based simulation study, and provide an empirical illustration. Our overall recommendation is using (i) and (ii), as the others have undesirable features such as analytic complexity in (iii), computational difficulty in (iv) and (vi), and poor finite-sample performance in (v).

Original languageEnglish
Pages (from-to)502-530
Number of pages29
JournalPacific Economic Review
Volume19
Issue number4
DOIs
Publication statusPublished - 2014 Oct 1

Bibliographical note

Publisher Copyright:
© 2014 Wiley Publishing Asia Pty Ltd.

ASJC Scopus subject areas

  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Estimation of Binary Response Models With Endogenous Regressors'. Together they form a unique fingerprint.

Cite this