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A SAS macro to perform Dong and Lewbel's "Simple Estimator for Binary Choice Models" (2015)

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  • Nicolas Moreau

    (CEMOI - Centre d'Économie et de Management de l'Océan Indien - UR - Université de La Réunion)

Abstract

This paper presents a SAS macro to estimate Dong and Lewbel's " Simple Estimator for Binary Choice Models with Endogenous Regressors " (2015) on cross-section data.

Suggested Citation

  • Nicolas Moreau, 2018. "A SAS macro to perform Dong and Lewbel's "Simple Estimator for Binary Choice Models" (2015)," Working Papers hal-01691487, HAL.
    • Handle: RePEc:hal:wpaper:hal-01691487
    Note: View the original document on HAL open archive server: https://hal.science/hal-01691487
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    File URL: https://hal.science/hal-01691487/document
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    References listed on IDEAS

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    1. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 809-829, August.
    2. Christopher Baum & Yingying Dong & Arthur Lewbel & Tao Yang, 2012. "Binary choice models with endogenous regressors," SAN12 Stata Conference 9, Stata Users Group.
    3. 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.
    4. Lewbel, Arthur, 2000. "Semiparametric qualitative response model estimation with unknown heteroscedasticity or instrumental variables," Journal of Econometrics, Elsevier, vol. 97(1), pages 145-177, July.
    5. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Viewpoint: Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 809-829, August.
    6. Lewbel, Arthur & Schennach, Susanne M., 2007. "A simple ordered data estimator for inverse density weighted expectations," Journal of Econometrics, Elsevier, vol. 136(1), pages 189-211, January.
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