IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

The Spatial Durbin Model and the Common Factor Tests

Author Info

Listed author(s):
  • Jesús Mur
  • Ana Angulo

Abstract

Abstract The spatial Durbin model occupies an interesting position in the field of spatial econometrics. It is the reduced form of a model with cross-sectional dependence in the errors and it may be used as the nesting equation in a more general approach of model selection. Specifically, in this equation we obtain the common factor tests (of which the likelihood ratio is the best known) whose objective is to discriminate between substantive and residual dependence in an apparently misspecified equation. Our paper tries to delve deeper into the role of the spatial Durbin model in the problem of specifying a spatial econometric model. We include a Monte Carlo study related to the performance of the common factor tests presented in the paper in small sample sizes.

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.taylorandfrancisonline.com/doi/abs/10.1080/17421770601009841
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 1 (2006)
Issue (Month): 2 ()
Pages: 207-226

as
in new window

Handle: RePEc:taf:specan:v:1:y:2006:i:2:p:207-226
DOI: 10.1080/17421770601009841
Contact details of provider: Web page: http://www.tandfonline.com/RSEA20

Order Information: Web: http://www.tandfonline.com/pricing/journal/RSEA20

Keywords: Common factor tests; spatial lag model; spatial error model; C21; C50; R15;

Find related papers by JEL classification:

  • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
  • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
  • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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

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

as
in new window


Cited by:

  1. Catherine BAUMONT & Rachel GUILLAIN, 2013. "Interactions, Spillovers De Connaissance Et Croissance Des Villes Européennes - Quel Est Le Rôle De La Géographie, Du Climat Institutionnel Et Des Réseaux Des Firmes Multinationales ?," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 161-207.
  2. Arbia, Giuseppe & Battisti, Michele & Di Vaio, Gianfranco, 2010. "Institutions and geography: Empirical test of spatial growth models for European regions," Economic Modelling, Elsevier, vol. 27(1), pages 12-21, January.
  3. Takagi, Daisuke & Ikeda, Ken’ichi & Kawachi, Ichiro, 2012. "Neighborhood social capital and crime victimization: Comparison of spatial regression analysis and hierarchical regression analysis," Social Science & Medicine, Elsevier, vol. 75(10), pages 1895-1902.
  4. Burridge, Peter, 2011. "A research agenda on general-to-specific spatial model search," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 71-90.
  5. Masha Maslianskaia-Pautrel & Catherine Baumont pba148, 2016. "The nature and impacts of environmental spillovers on housing prices: A spatial hedonic analysis," Working Papers 2016.04, FAERE - French Association of Environmental and Resource Economists.
  6. Carlo Ciccarelli & Jean Paul Elhorst, 2016. "A Spatial Diffusion Model with Common Factors and an Application to Cigarette Consumption," CEIS Research Paper 381, Tor Vergata University, CEIS, revised 31 May 2016.
  7. Mitze, Timo, 2010. "Network Dependency in Migration Flows – A Space-time Analysis for Germany since Re-unification," Ruhr Economic Papers 205, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  8. Macfarlane, Gregory S. & Garrow, Laurie A. & Moreno-Cruz, Juan, 2015. "Do Atlanta residents value MARTA? Selecting an autoregressive model to recover willingness to pay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 214-230.
  9. Angulo, Ana M. & Mur, Jesús, 2011. "The Likelihood Ratio Test of Common Factors under Non-Ideal Conditions," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 21, pages 37-52.
  10. Jesús Mur & Fernando López & Ana Angulo, 2010. "Instability in spatial error models: an application to the hypothesis of convergence in the European case," Journal of Geographical Systems, Springer, vol. 12(3), pages 259-280, September.
  11. Timo Mitze, 2010. "Network Dependency in Migration Flows – A Space-time Analysis for Germany since Re-unification," Ruhr Economic Papers 0205, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  12. repec:zbw:rwirep:0205 is not listed on IDEAS
  13. Nicola Pontarollo, 2013. "Structural change, productivity growth and Structural Funds in European regions," ERSA conference papers ersa13p747, European Regional Science Association.

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

Access and download statistics

When requesting a correction, please mention this item's handle: RePEc:taf:specan:v:1:y:2006:i:2:p:207-226. 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: (Michael McNulty)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.