Advanced Search
MyIDEAS: Login to save this paper or follow this series

The Spatial Random Effects and the Spatial Fixed Effects Model. The Hausman Test in a Cliff and Ord Panel Model

Contents:

Author Info

  • Mutl, Jan

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria)

  • Pfaffermayr, Michael

    (Department of Economics, University of Innsbruck, Innsbruck, Austria and Austrian Institute of Economic Research, Vienna, Austria and CESIFO, Germany)

Abstract

This paper studies the spatial random effects and spatial fixed effects model. The model includes a Cliff and Ord type spatial lag of the dependent variable as well as a spatially lagged one-way error component structure, accounting for both heterogeneity and spatial correlation across units. We discuss instrumental variable estimation under both the fixed and the random effects specification and propose a spatial Hausman test which compares these two models accounting for spatial autocorrelation in the disturbances. We derive the large sample properties of our estimation procedures and show that the test statistic is asymptotically chi-square distributed. A small Monte Carlo study demonstrates that this test works well even in small panels.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. 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.ihs.ac.at/publications/eco/es-229.pdf
File Function: First version, 2008
Download Restriction: no

Bibliographic Info

Paper provided by Institute for Advanced Studies in its series Economics Series with number 229.

as in new window
Length: 34 pages, Appendix
Date of creation: Oct 2008
Date of revision:
Handle: RePEc:ihs:ihsesp:229

Contact details of provider:
Postal: Stumpergasse 56, A-1060 Vienna, Austria
Phone: ++43 - (0)1 - 599 91 - 0
Fax: ++43 - (0)1 - 599 91 - 555
Web page: http://www.ihs.ac.at
More information through EDIRC

Order Information:
Postal: Institute for Advanced Studies - Library, Stumpergasse 56, A-1060 Vienna, Austria

Related research

Keywords: Spatial econometrics; Panel data; Random effects estimator; Within estimator; Hausman test;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Bernard Fingleton, 2010. "Predicting the geography of house prices," LSE Research Online Documents on Economics 33507, London School of Economics and Political Science, LSE Library.
  2. Jens S├╝dekum, 2010. "Human Capital Externalities and Growth of High- and Low-Skilled Jobs," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 230(1), pages 92-114, February.
  3. Ilaria Petrarca & Fabio Padovano, 2011. "From Taxes to Politics, from Politics to Taxes: Evidence of Yardstick Competition in the Italian Municipalities," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS 2011-01-ccr, Condorcet Center for political Economy.
  4. Fritz Breuss & Peter Egger & Michael Pfaffermayr, 2003. "Structural Funds, EU Enlargement, and the Redistribution of FDI in Europe," WIFO Working Papers 195, WIFO.
  5. Moscone, Francesco & Tosetti, Elisa, 2010. "GMM estimation of Spatial Panels with Fixed Effects," MPRA Paper 20152, University Library of Munich, Germany.
  6. B. Merlevede & G. Rayp & S. Van Parys & T. Verbeke, 2011. "Do EU15 countries compete over labour taxes?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/750, Ghent University, Faculty of Economics and Business Administration.
  7. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ihs:ihsesp:229. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Doris Szoncsitz).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.