Robinson, Peter M. (2012) Nonparametric trending regression with cross-sectional dependence. Journal of Econometrics, 169 (1). pp. 4-14. ISSN 0304-4076
Full text not available from this repository.Abstract
Panel data, whose series length T is large but whose cross-section size N need not be, are assumed to have common time trend, of unknown form. The model includes additive, unknown, individual-specific components and allows for spatial or other cross-sectional dependence and/or heteroscedasticity. A simple smoothed nonparametric trend estimate is shown to be dominated by an estimate which exploits availability of cross-sectional data. Asymptotically optimal bandwidth choices are justified for both estimates. Feasible optimal bandwidths, and feasible optimal trend estimates, are asymptotically justified, finite sample performance of the latter being examined in a Monte Carlo study. Potential extensions are discussed.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.journals.elsevier.com/journal-of-econom... |
| Additional Information: | © 2012 Elsevier |
| Divisions: | Economics |
| Subjects: | H Social Sciences > HA Statistics 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: | 04 Apr 2012 10:54 |
| Last Modified: | 12 Dec 2024 00:07 |
| URI: | http://eprints.lse.ac.uk/id/eprint/42972 |
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