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XTCSD: Stata module to test for cross-sectional dependence in panel data models

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
R. E. De Hoyos () (University of Cambridge)
Vasilis Sarafidis () (University of Sydney)

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

Abstract

xtcsd tests for cross-sectional dependence in Fixed Effects or Random Effects models. xtcsd tests the hypothesis of cross-sectional independence in panel data models with small T and large N by implementing two semi-parametric tests proposed by Friedman (1937) and Frees (1995, 2004), as well as the parametric testing procedure proposed by Pesaran (2004). xtcsd with option pesaran can handle balanced as well as unbalanced panels.

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File URL: http://fmwww.bc.edu/repec/bocode/x/xtcsd.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/x/xtcsd.hlp
File Format: text/plain
File Function: help file
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456736.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
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Programming language: Stata
Requires: Stata version 6
Date of creation: 13 Jun 2006
Date of revision: 10 Apr 2007
Handle: RePEc:boc:bocode:s456736

Note: This module may be installed from within Stata by typing "ssc install xtcsd". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: panel data; fixed effects; random effects; cross sectional dependence;

Statistics
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This page was last updated on 2009-11-14.


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.