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ENDOGENEITY IN SEMIPARAMETRIC THRESHOLD REGRESSION

Published online by Cambridge University Press:  27 May 2021

Andros Kourtellos ,
Thanasis Stengos  and
Yiguo Sun
Andros Kourtellos
Affiliation:
University of Cyprus
Thanasis Stengos
Affiliation:
University of Guelph
Yiguo Sun*
Affiliation:
University of Guelph
*
Address correspondence to Yiguo Sun, Department of Economics and Finance, University of Guelph, Guelph, Ontario N1G 2W1, Canada; E-mail: yisun@uoguelph.ca.
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Abstract

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This paper estimates threshold regression models with an endogenous threshold variable using a nonparametric control function approach. Assuming diminishing threshold effects, we derive the consistency and limiting distribution of our proposed estimator constructed from the series approximation method for weakly dependent data. In addition, we propose a test for the endogeneity of the threshold variable, which is valid regardless of whether the threshold effects exist. We assess the performance of our methods using Monte Carlo simulations.

Information

Type
ARTICLES
Information
Econometric Theory , Volume 38 , Issue 3 , June 2022 , pp. 562 - 595
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Footnotes

The first author acknowledges that this research has received funding from Marie Skłodowska-Curie Actions (Work Programme 2016-17) of the Excellence Science Pillar of the Horizon 2020 Research and Innovation Programme of the European Union under REA grant agreement No. 707990. The authors would like to thank the editor, the co-editor, and the four anonymous referees for their patience and excellent comments that significantly improved the manuscript.

References

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