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An alternative root-n consistent estimator for panel data binary choice models

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  • Ai, Chunrong
  • Gan, Li

Abstract

In this paper, we present an alternative root-n consistent estimator for panel data fixed-effects binary choice models. The proposed estimator relaxes one of the key conditions that are required for the consistency of the estimator proposed in Honoré and Lewbel (2002), and is shown to be consistent and asymptotically normally distributed under some sufficient conditions. An easy to compute consistent estimator for the asymptotic covariance is provided.

Suggested Citation

  • Ai, Chunrong & Gan, Li, 2010. "An alternative root-n consistent estimator for panel data binary choice models," Journal of Econometrics, Elsevier, vol. 157(1), pages 93-100, July.
    • Handle: RePEc:eee:econom:v:157:y:2010:i:1:p:93-100
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    References listed on IDEAS

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    1. Bo E. Honore & Arthur Lewbel, 2002. "Semiparametric Binary Choice Panel Data Models Without Strictly Exogeneous Regressors," Econometrica, Econometric Society, vol. 70(5), pages 2053-2063, September.
    2. Myoung-jae Lee, 1999. "A Root-N Consistent Semiparametric Estimator for Related-Effect Binary Response Panel Data," Econometrica, Econometric Society, vol. 67(2), pages 427-434, March.
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    Cited by:

    1. Gayle, Wayne-Roy, 2013. "Identification and N-consistent estimation of a nonlinear panel data model with correlated unobserved effects," Journal of Econometrics, Elsevier, vol. 175(2), pages 71-83.
    2. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    3. Louis Grange & Felipe González & Ignacio Vargas & Rodrigo Troncoso, 2015. "A Logit Model With Endogenous Explanatory Variables and Network Externalities," Networks and Spatial Economics, Springer, vol. 15(1), pages 89-116, March.
    4. Yingying Dong & Arthur Lewbel, 2015. "A Simple Estimator for Binary Choice Models with Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 82-105, February.
    5. Arthur Lewbel, 2012. "An Overview of the Special Regressor Method," Boston College Working Papers in Economics 810, Boston College Department of Economics.
    6. Ai, Chunrong & Meng, Meixia, 2012. "A root-N consistent estimator for some fixed-effects panel data sample selection models," Economics Letters, Elsevier, vol. 116(3), pages 411-413.
    7. Xin, Kai & Zhang, ZhengYu & Zhou, YaHong & Zhu, PingFang, 2021. "Time-varying individual effects in a panel data probit model with an application to female labor force participation," Economic Modelling, Elsevier, vol. 95(C), pages 181-191.
    8. Diarra, Lacina & Dessy, Sylvain, 2018. "Land Tenure Security and Non-Agricultural Sector Employment: Household-level Evidence from Uganda," 2018 Annual Meeting, August 5-7, Washington, D.C. 274240, Agricultural and Applied Economics Association.
    9. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Songnian Chen & Shakeeb Khan & Xun Tang, 2018. "Exclusion Restrictions in Dynamic Binary Choice Panel Data Models," Boston College Working Papers in Economics 947, Boston College Department of Economics.

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