GEODASPACE: A RESOURCE FOR TEACHING SPATIAL REGRESSION MODELS

Spatial econometrics has become a prominent topic in the recent scientific literature. For this reason, it is being used in research as well as teaching both undergraduate and graduate econometrics courses. GeoDaSpace is a software package for the estimation and testing of spatial econometric models in an intuitive and easy-to-use point and click environment. It is still an alpha release freely downloadable from the GeoDa Center (Arizona State University), which incorporates a wide range of estimation methods (OLS, 2SLS, ML, GM/GMM) and models (spatial lag, spatial error, spatial lag and error, spatial regimes), with options for spatial and non-spatial diagnostics, non-spatial endogenous variables and heteroskedasticity/HAC covariance estimators. GeoDaSpace is a very useful teaching resource that can be used by both teachers and students.

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