Spatial regression models
著者
書誌事項
Spatial regression models
（Sage publications series, . Quantitative applications in the social sciences ; no. 07-155）
Sage Publications, c2008
- : pbk
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注記
Bibliography: p. 91-95
Includes index
内容説明・目次
内容説明
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.
目次
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
「Nielsen BookData」 より
