基本説明
Illustrates concepts using well known international, comparative, and national examples of spatial regression analysis.
Full Description
Assuming no prior knowledge this book is geared toward social science readers, unlike other volumes on this topic. The text illustrates concepts using well known international, comparative, and national examples of spatial regression analysis. Each example is presented alongside relevant data and code, which is also available on a Web site maintained by the authors.
Contents
PrefaceChapter 1: IntroductionInteraction and Social ScienceDemocracy Around the WorldIntroducing Spatial DependenceMaps as Visual Displays of DataMeasuring Spatial Association and CorrelationMeasuring ProximityEstimating Spatial ModelsSummaryChapter 2: Spatially Lagged Dependent VariablesRegression with Spatially Lagged Dependent VariablesEstimating the Spatially Lagged y ModelMaximum Likelihood Estimates of the Spatially Lagged Y Model of DemocracyEquilibrium Effects in the Spatially Lagged y ModelSpatial Dependence in Turnout in ItalyUsing Different Weights Matrices in a Spatially Lagged Dependent Variable ModelThe Spatially Lagged Dependent Variable Versus OLS with Dummy VariablesSummaryChapter 3: Spatial Error ModelThe Spatial Error ModelMaximum Likelihood Estimation of the Spatial Errors ModelExample: Democracy and DevelopmentSpatially Lagged y Versus Spatial ErrorsAssessing Spatial Error in Dyadic Trade FlowsSummaryChapter 4: ExtensionsSpecifying ConnectivitiesInference and Model EvaluationSummaryAppendix: Software OptionsReferences



