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Spatial Regression Analysis vs. Kriging Methods for Spatial Estimation

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  • Gema Fernández-Avilés Calderón

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File URL: http://hdl.handle.net/10.1007/s11294-008-9189-0
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Bibliographic Info

Article provided by Springer in its journal International Advances in Economic Research.

Volume (Year): 15 (2009)
Issue (Month): 1 (February)
Pages: 44-58

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Handle: RePEc:kap:iaecre:v:15:y:2009:i:1:p:44-58

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Web page: http://www.springerlink.com/link.asp?id=112112

Related research

Keywords: Weight matrix; Spatial correlation; Spatial econometrics; Econometric models; Autocorrelation; Kriging estimator; C10; C21; C40; E00;

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  1. Florax, R. & Folmer, H., 1991. "Specification and Estimation of Spatial Linear Regression Models: Monte Carlo Evaluation of Pre-Test Estimator," Mansholt Working Papers 1991-4, Wageningen University, Mansholt Graduate School of Social Sciences.
  2. P Bodson & D Peeters, 1975. "Estimation of the coefficients of a linear regression in the presence of spatial autocorrelation. An application to a Belgian labour-demand function," Environment and Planning A, Pion Ltd, London, vol. 7(4), pages 455-472, April.
  3. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
  4. Montero Lorenzo, José María, 2004. "El precio medio del metro cuadrado de la vivienda libre: Una aproximación metodológica desde la perspectiva de la Geoestadística," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-18, Diciembre.
  5. 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.
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