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On a generalization of the test of endogeneity in a two stage least squares estimation

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  • Ayyub Sheikhi
  • Fatemeh Bahador
  • Mohammad Arashi

Abstract

In situations that the predictors are correlated with the error term, we propose a bridge estimator in the two-stage least squares estimation. We apply this estimator to overcome the multicollinearity and sparsity of the explanatory variables, when the endogeneity problem is present.The proposed estimator was applied to modify the Durbin-Wu-Hausman (DWH) test of endogeneity in the presence of multicollinearity. To compare our modified test with the existing DWH for detection of an endogenous problem in multi-collinear data, some numerical assessments are carried out. The numerical results showed that the proposed estimators and the suggested test perform better for the multi-collinear data. Finally, a genetical data set is applied for illustration the our results by estimating the coefficients parameters in the presence of endogeneity and multicollinearity.

Suggested Citation

  • Ayyub Sheikhi & Fatemeh Bahador & Mohammad Arashi, 2022. "On a generalization of the test of endogeneity in a two stage least squares estimation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(3), pages 709-721, February.
    • Handle: RePEc:taf:japsta:v:49:y:2022:i:3:p:709-721
    DOI: 10.1080/02664763.2020.1837084
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    Cited by:

    1. Cheng, Yiming & Zeng, Bo & Lin, Weixing, 2024. "Heterogenous effects of inclusive digital economy and resource distribution mismatch on corporate ESG performance in China," Resources Policy, Elsevier, vol. 92(C).

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