Empirical likelihood inference for partially linear panel data models with fixed effects
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 165-167 |
Journal / Publication | Economics Letters |
Volume | 113 |
Issue number | 2 |
Publication status | Published - Nov 2011 |
Externally published | Yes |
Link(s)
Abstract
We propose an empirical likelihood method for application to a partially linear panel data model with fixed effects. The empirical log-likelihood ratio statistic is proved to be asymptotically chi-squared distributed, and the asymptotic properties of estimators for both the parametric and nonparametric components are established. © 2011 Elsevier B.V.
Research Area(s)
- Empirical likelihood, Fixed effects, Panel data, Partially linear models
Citation Format(s)
Empirical likelihood inference for partially linear panel data models with fixed effects. / Zhang, Junhua; Feng, Sanying; Li, Gaorong; Lian, Heng.
In: Economics Letters, Vol. 113, No. 2, 11.2011, p. 165-167.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review