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Home > Reference > Research and information: general > Research methods: general > Spatial Regression Models: (155 Quantitative Applications in the Social Sciences)
Spatial Regression Models: (155 Quantitative Applications in the Social Sciences)

Spatial Regression Models: (155 Quantitative Applications in the Social Sciences)


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About the Book

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.

Table of Contents:
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

About the Author :
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. 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 Association of American Geographers, Biological Reviews, International Interactions, International Organization, International Studies Quarterly, Journal of Conflict Resolution, Journal of Peace Research, Political Analysis, Political Psychology, and World Politics.


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Product Details
  • ISBN-13: 9781452208817
  • Publisher: Sage Publications Inc Ebooks
  • Publisher Imprint: SAGE Publications Inc
  • Language: English
  • Series Title: 155 Quantitative Applications in the Social Sciences
  • ISBN-10: 1452208816
  • Publisher Date: 29 Feb 2008
  • Binding: Digital (delivered electronically)
  • No of Pages: 112


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