Explain Anselin’s typology of spatial autoregressive models
Demonstrate how the parameters of spatial auto-regressive models can be estimated using univariate and bivariate optimization algorithms for maximizing the likelihood function
Justify the choice of a particular spatial autoregressive model for a given application
Implement a maximum likelihood estimation procedure for determining key spatial econometric parameters
Apply spatial statistic software (e.g., GEODA) to create and estimate an autoregressive model
Conduct a spatial econometric analysis to test for spatial dependence in the residuals from least-squares models and spatial autoregressive models
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