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Spatial Econometric Specification and Estimation

  • Sascha Sardadvar
Chapter
Part of the Contributions to Economics book series (CE, volume 1)

Abstract

The theoretical model laid out in Part II can be directly translated to a spatial econometric model specification, with output growth as the dependent variable, and two explanatory variables, which are also lagged in space, thus making a total of four independent variables, and in addition there are a constant and a spatially correlated term. The method of ordinary least squares would cause inefficient results in such a specification, but estimation using the method of maximum likelihood overcomes this problem.

Keywords

Explanatory Variable Spatial Weight Matrix Common Border Spatial Durbin Model Common Factor Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Department of SocioeconomicsVienna University of Economics and Business, Institute for Economic Geography and GIScienceViennaAustria

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