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Spatial Regression Models

Spatial Regression Models

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.
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


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


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


Chapter 4: Extensions
Specifying Connectivities

Inference and Model Evaluation


Appendix: Software Options



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Sample Materials & Chapters

Chapter 1.1

Chapter 2.1

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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