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Spatial Regression Models : Quantitative Applications in the Social Sciences - Michael D. Ward

Spatial Regression Models

Quantitative Applications in the Social Sciences


Published: 1st February 2008
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Published: 29th February 2008
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Published: 30th April 2018

NOTE: Updated R code for use with this volume, along with other resources, is available at: http://privatewww.essex.ac.uk/~ksg/srm_book.html

Spatial Regression Models
illustrates the use of spatial analysis in the social sciences. The text includes sections that cover different modeling-related topics: mapping and making projections; doing exploratory spatial data analysis; working with models which have lagged endogenous right-handed side variables; using spatial error correction models; employing conditionally autoregressive models; and dealing with over-time panels exhibiting spatial structures. Each of the modeling-based discussions includes separate delineations of how to proceed when dealing with main variables that are quantitative as well as qualitative. In each section, the authors employ prominent and diverse examples, introducing readers to key literature in the field. The examples are presented along with relevant data and programs written in the R, which illustrate exactly how to undertake the analyses described. The book ends with a chapter that covers techniques for presenting spatial information.


Key Features

  • Geared toward social science readers, unlike other volumes on this topic.
  • Illustrates concepts using well-known international, comparative, and national examples of spatial regression analysis.
  • Presents each example alongside relevant data and code, which is also available on a Web site maintained by the authors.


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PrefaceChapter 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 SummaryChapter 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 SummaryChapter 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 SummaryChapter 4: Extensions Specifying Connectivities Inference and Model Evaluation Summary Appendix: Software Options References

ISBN: 9781412954150
ISBN-10: 1412954150
Series: Quantitative Applications in the Social Sciences
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 112
Published: 1st February 2008
Publisher: SAGE Publications Inc
Country of Publication: US
Dimensions (cm): 21.5 x 13.9  x 0.53
Weight (kg): 0.14