Empirical likelihood inference for partially linear panel data models with fixed effects
Junhua Zhang,
Sanying Feng,
Gaorong Li and
Heng Lian
Economics Letters, 2011, vol. 113, issue 2, 165-167
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.
Keywords: Empirical likelihood; Fixed effects; Panel data; Partially linear models (search for similar items in EconPapers)
JEL-codes: C14 C23 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176511002813
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:113:y:2011:i:2:p:165-167
DOI: 10.1016/j.econlet.2011.07.014
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().