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! ]

Copula-Based Tests for Cross-Sectional Independence in Panel Models

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Hong-Ming Huang
Chihwa Kao () (Center for Policy Research, Maxwell School, Syracuse University, Syracuse, NY 13244-1020)
Giovanni Urga () (Cass Business School, City University, 106 Bunhill Row, London EC1Y 8TZ, U.K.)

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

Abstract

This paper processes copula-based tests for testing cross-sectional independence of panel models.

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://www-cpr.maxwell.syr.edu/cprwps/pdf/WP99.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Center for Policy Research, Maxwell School, Syracuse University in its series Center for Policy Research Working Papers with number 99.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 14 pages
Date of creation: Dec 2007
Date of revision:
Handle: RePEc:max:cprwps:99

Contact details of provider:
Postal: 426 Eggers Hall, Syracuse, New York USA 13244-1020
Phone: (315) 443-3114
Fax: (315) 443-1081
Email:
Web page: http://www-cpr.maxwell.syr.edu
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Martha W. Bonney).

Related research
Keywords: Copulas; Panel data; Cross-sectional independence;

Other versions of this item:

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. E. Mammen, . "Empirical Process of Residuals for High-Dimensional Linear Models," Sonderforschungsbereich 373 1994-45, Humboldt Universitaet Berlin.
  2. Andrew Patton, 2001. "Estimation of Copula Models for Time Series of Possibly Different Length," University of California at San Diego, Economics Working Paper Series 2001-17, Department of Economics, UC San Diego. [Downloadable!]
  3. Andrew J. Patton, 2001. "Modelling Time-Varying Exchange Rate Dependence Using the Conditional Copula," University of California at San Diego, Economics Working Paper Series 2001-09, Department of Economics, UC San Diego. [Downloadable!]
  4. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November. [Downloadable!] (restricted)
    Other versions:
  5. Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  6. Ng, Serena, 2006. "Testing Cross-Section Correlation in Panel Data Using Spacings," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 12-23, January. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by editing a NEP report.

This page was last updated on 2009-11-27.


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.