SUR Estimation of Error Components Models With AR(1) Disturbances and Unobserved Endogenous Effects
Peter Egger
No B6-3, 10th International Conference on Panel Data, Berlin, July 5-6, 2002 from International Conferences on Panel Data
Abstract:
This paper focuses on the estimation of error components models in the presence of a correlation of the disturbances across equations and AR(1) of the remainder disturbances for panel data with endogenous unobserved effects. Additionally, the set-up allows for unequally spaced panel data and differences in the autocorrelation parameters across equations. The derived procedure is a feasible generalized least squares (GLS) estimator, which provides estimates of the variance components in the spirit of Hausman & Taylor (1981).
Keywords: Panel Econometrics; Serial Correlation; Seemingly unrelated regressions; Endogenous effects (search for similar items in EconPapers)
JEL-codes: C33 (search for similar items in EconPapers)
Date: 2002-03
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://econpapers.repec.org/cpd/2002/39_Egger.pdf (application/pdf)
Related works:
Working Paper: SUR Estimation of Error Components Models With AR(1) Disturbances and Unobserved Endogenous Effects (2001)
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:cpd:pd2002:b6-3
Access Statistics for this paper
More papers in 10th International Conference on Panel Data, Berlin, July 5-6, 2002 from International Conferences on Panel Data
Bibliographic data for series maintained by Sune Karlsson ().