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Spatial Regression Models
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Spatial Regression Models



February 2008 | 112 pages | SAGE Publications, Inc
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.
 
Preface
 
Chapter 1: Introduction
Interaction and Social Science

 
Democracy Around the World

 
Introducing Spatial Dependence

 
Maps as Visual Displays of Data

 
Measuring Spatial Association and Correlation

 
Measuring Proximity

 
Estimating Spatial Models

 
Summary

 
 
Chapter 2: Spatially Lagged Dependent Variables
Regression with Spatially Lagged Dependent Variables

 
Estimating the Spatially Lagged y Model

 
Maximum Likelihood Estimates of the Spatially Lagged Y Model of Democracy

 
Equilibrium Effects in the Spatially Lagged y Model

 
Spatial Dependence in Turnout in Italy

 
Using Different Weights Matrices in a Spatially Lagged Dependent Variable Model

 
The Spatially Lagged Dependent Variable Versus OLS with Dummy Variables

 
Summary

 
 
Chapter 3: Spatial Error Model
The Spatial Error Model

 
Maximum Likelihood Estimation of the Spatial Errors Model

 
Example: Democracy and Development

 
Spatially Lagged y Versus Spatial Errors

 
Assessing Spatial Error in Dyadic Trade Flows

 
Summary

 
 
Chapter 4: Extensions
Specifying Connectivities

 
Inference and Model Evaluation

 
Summary

 
Appendix: Software Options

 
References

 

Sample Materials & Chapters

Chapter 1.1

Chapter 2.1


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Michael D. Ward

Michael D. Ward is Professor of Political Science at Duke University. He is an affiliate of the Duke Network Analysis Center. His primary interests are in international relations (spanning democratization, globalization, international commerce, military spending, as well as international conflict and cooperation), political geography, as well as mathematical and statistical methods. More About Author

Kristian Skrede Gleditsch

Kristian Skrede Gleditsch is Professor in the Department of Government, University of Essex and a Research Associate at the Centre for the Study of Civil War, PRIO. His research interests include conflict and cooperation, democratization, and spatial dimensions of social and political processes. He is the author of All International Politics is Local: The Diffusion of Conflict, Integration, and Democratization (University of Michigan Press, 2002) and Spatial Regression Models (Sage, 2008, with Michael D. Ward) as well as articles in journals including American Journal of Political Science, American Political Science Review, Annals of the... More About Author

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ISBN: 9781412954150
$22.00 

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