Estimation of Binary Response Models With Endogenous Regressors

Changhui Kang, Myoung-jae Lee

Research output: Contribution to journalArticle

Abstract

This paper reviews six approaches to binary response (y<inf>1</inf>) structural forms with an endogenous regressor y<inf>2</inf>: (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 y<inf>2</inf> 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

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ASJC Scopus subject areas

  • Geography, Planning and Development
  • Development
  • Aerospace Engineering

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