Lee, Jungyoon and Robinson, Peter (2015) Panel nonparametric regression with fixed effects. Journal of Econometrics, 188 (2). pp. 346-362. ISSN 0304-4076
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Abstract
Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specific components and allows also for cross-sectional and temporal dependence and conditional heteroscedasticity. A simple nonparametric estimate is shown to be dominated by a GLS-type one. Asymptotically optimal bandwidth choices are justified for both estimates. Feasible optimal bandwidths, and feasible optimal regression estimates, are also asymptotically justified. Finite sample performance is examined in a Monte Carlo study.
| Item Type: | Article |
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| Official URL: | http://www.sciencedirect.com/science/article/pii/S... |
| Additional Information: | © 2015 The Authors © CC BY 4.0 |
| Divisions: | Economics |
| Subjects: | H Social Sciences > HB Economic Theory |
| JEL classification: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C13 - Estimation C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C23 - Models with Panel Data |
| Date Deposited: | 01 Apr 2015 09:00 |
| Last Modified: | 11 Sep 2025 09:01 |
| Projects: | ES/J007242/1 |
| Funders: | Economic and Social Research Council |
| URI: | http://eprints.lse.ac.uk/id/eprint/61431 |
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