Introduction to Spatial Econometrics

<p><strong>Introduction to Spatial Econometrics</strong> presents a variety of regression methods for analyzing spatial data samples that violate the traditional assumption of independence between observations. It explores a range of alternative topics including maximum likelihood and Bayesian estimation various types of spatial regression specifications and applied modeling situations involving different circumstances. The authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. By presenting new methods they help with the interpretation of spatial regression models. MATLAB<sup>(R)</sup> toolboxes useful for spatial econometric estimation are made available on the authors' websites.</p>