This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Elhorst, J. Paul (Groningen University)

Additional information is available for the following registered author(s):

Abstract

This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable. In particular, it focuses on the specification and estimation of four panel data models commonly used in applied research: the fixed effects model, the random effects model, the fixed coefficients model and the random coefficients model. This survey should prove useful for researchers in this area.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://irs.ub.rug.nl/ppn/217984169
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by University of Groningen, Research Institute SOM (Systems, Organisations and Management) in its series Research Report with number 01C05.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2001
Date of revision:
Handle: RePEc:dgr:rugsom:01c05

Contact details of provider:
Postal: PO Box 800, 9700 AV Groningen
Phone: +31 50 363 7185
Fax: +31 50 363 3720
Email:
Web page: http://som.eldoc.ub.rug.nl/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Joke Bulthuis).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? Authors can create their own profile with links to their works on the RePEc Author Service.

This page was last updated on 2009-12-9.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.