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Semi-parametric Estimation in a Single-index Model with Endogenous Variables

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  • Birke, Melanie
  • Van Bellegem, Sebastien
  • Van Keilegom, Ingrid

Abstract

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Suggested Citation

  • Birke, Melanie & Van Bellegem, Sebastien & Van Keilegom, Ingrid, 2017. "Semi-parametric Estimation in a Single-index Model with Endogenous Variables," LIDAM Reprints ISBA 2017022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2017022
    Note: In : Scandinavian Journal of Statistics : theory and applications, vol. 44, no.1, p. 168-191 (2017)
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    Cited by:

    1. Xin Geng & Carlos Martins-Filho & Feng Yao, 2015. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 15-46, Department of Economics, West Virginia University.
    2. Irene Botosaru & Chris Muris & Senay Sokullu, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Department of Economics Working Papers 2022-01, McMaster University.
    3. Zhang, Hong-Fan, 2021. "Iterative GMM for partially linear single-index models with partly endogenous regressors," Computational Statistics & Data Analysis, Elsevier, vol. 156(C).
    4. Alan P. Ker & Abdoul G. Sam, 2018. "Semiparametric estimation of the link function in binary-choice single-index models," Computational Statistics, Springer, vol. 33(3), pages 1429-1455, September.
    5. Muhammad Qasim, 2024. "A weighted average limited information maximum likelihood estimator," Statistical Papers, Springer, vol. 65(5), pages 2641-2666, July.

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