Estimating spatial weighting matrices in cross-regressive models by entropy techniques
AbstractThe traditional approach to estimate spatial models bases on a preconceived spatial weights matrix to measure spatial interaction among locations. The a priori assumptions used to define this matrix are supposed to be in line with the â€šÃ„Ãºtrueâ€šÃ„Ã¹ spatial relationships among the locations of the dataset. Another possibility consists on using some information present on the sample data to specify an empirical matrix of spatial weights. In this paper we propose to estimate spatial cross-regressive models by generalized maximum entropy (GME). This technique allows combing assumptions about the spatial interconnections among the locations studied with information from the sample data. Hence, the spatial component of the model estimated by the techniques proposed is not just preconceived but it allows incorporating empirical information. We compare some traditional methodologies with the proposed GME estimator by means of Monte Carlo simulations in several scenarios and show that the entropy-based estimation techniques can outperform traditional approaches. An empirical case is also studied in order to illustrate the implementation of the proposed techniques for a real-world example.
Download InfoIf 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.
Bibliographic InfoPaper provided by European Regional Science Association in its series ERSA conference papers with number ersa10p503.
Date of creation: Sep 2011
Date of revision:
Contact details of provider:
Postal: Welthandelsplatz 1, 1020 Vienna, Austria
Web page: http://www.ersa.org
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-07-29 (All new papers)
- NEP-ECM-2012-07-29 (Econometrics)
- NEP-GEO-2012-07-29 (Economic Geography)
- NEP-URE-2012-07-29 (Urban & Real Estate Economics)
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.:
- Arndt, Channing & Robinson, Sherman & Tarp, Finn, 2002.
"Parameter estimation for a computable general equilibrium model: a maximum entropy approach,"
Elsevier, vol. 19(3), pages 375-398, May.
- Arndt, Channing & Robinson, Sherman & Tarp, Finn, 1999. "Parameter estimation for a computable general equilibrium model: a maximum entropy approach," TMD discussion papers 40, International Food Policy Research Institute (IFPRI).
- Matilde Mas & Joaquin Maudos & Francisco Perez & Ezequiel Uriel, 1996.
"Infrastructures and Productivity in the Spanish Regions,"
Taylor & Francis Journals, vol. 30(7), pages 641-649.
- Ezequiel Uriel Jiménez & Francisco Pérez García & Matilde Mas Ivars & Joaquín Maudos Villarroya, 1995. "Infrastructures And Productivity In The Spanish Regions," Working Papers. Serie EC 1995-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Iain Fraser, 2000. "An application of maximum entropy estimation: the demand for meat in the United Kingdom," Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 45-59.
- Bernard Fingleton, 2001. "Equilibrium and Economic Growth: Spatial Econometric Models and Simulations," Journal of Regional Science, Wiley Blackwell, vol. 41(1), pages 117-147.
- Enrique López-Bazo & Esther Vayá & Manuel Artís, 2004. "Regional Externalities And Growth: Evidence From European Regions," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 43-73.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
- Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
- Pedro Cantos & Mercedes Gumbau‐Albert & Joaqu�N Maudos, 2003. "Transport infrastructures, spillover effects and regional growth: evidence of the Spanish case," Transport Reviews, Taylor & Francis Journals, vol. 25(1), pages 25-50, December.
- Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
- Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier).
If references are entirely missing, you can add them using this form.