Semiparametric Estimation of Partially Linear Varying Coefficient Panel Data Models
ISBN: 978-1-78560-787-5, eISBN: 978-1-78560-786-8
Publication date: 23 June 2016
Abstract
This paper considers the problem of estimating a partially linear varying coefficient fixed effects panel data model. Using the series method, we establish the root N normality for the estimator of the parametric component; and we show that the unknown function can be consistently estimated at the standard nonparametric rate. Furthermore, we extend the model to allow endogeneity in the parametric component and establish the asymptotic properties of the semiparametric instrumental variable estimators.
Keywords
Acknowledgements
Acknowledgements
The authors thank the editors and two anonymous referees for helpful comments. Hsiao acknowledges partial research support by China NSF Grant No. #71131008. Any remaining errors are our own.
Citation
Yonghong, A., Cheng, H. and Dong, L. (2016), "Semiparametric Estimation of Partially Linear Varying Coefficient Panel Data Models", Essays in Honor of Aman Ullah (Advances in Econometrics, Vol. 36), Emerald Group Publishing Limited, Leeds, pp. 47-65. https://doi.org/10.1108/S0731-905320160000036011
Publisher
:Emerald Group Publishing Limited
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