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All International Politics Is Local: The Diffusion of Conflict, Integration, and Democratization

Politics & Social Sciences

Gleditsch, Kristian Skrede

Politics & Government

University of Michigan Press

This book argues that political and economic inequalities following group lines generate grievances that in turn can motivate civil war. Lars-Erik Cederman, Kristian Skrede Gleditsch, and Halvard Buhaug offer a theoretical approach that highlights ethnonationalism and how the relationship between group identities and inequalities are fundamental for successful mobilization to resort to violence. Although previous research highlighted grievances as a key motivation for political violence, contemporary research on civil war has largely dismissed grievances as irrelevant, emphasizing instead the role of opportunities. This book shows that the alleged non-results for grievances in previous research stemmed primarily from atheoretical measures, typically based on individual data. The authors develop new indicators of political and economic exclusion at the group level, and show that these exert strong effects on the risk of civil war. They provide new analyses of the effects of transnational ethnic links and the duration of civil wars, and extended case discussions illustrating causal mechanisms.

Inequality, Grievances, and Civil War (Cambridge Studies in Contentious Politics)

Cederman, Lars-Erik

Buhaug, Halvard

Social Sciences

Cambridge University Press

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 <ul>
<li>Geared toward social science readers, unlike other volumes on this topic. </li> <li>Illustrates concepts using well-known international, comparative, and national examples of spatial regression analysis. </li> <li>Presents each example alongside relevant data and code, which is also available on a Web site maintained by the authors.</li> </ul> Learn more about "The Little Green Book" - QASS Series! Click Here

Spatial Regression Models (Quantitative Applications in the Social Sciences)

Ward, Michael D.

Sage Publications, Inc.

Spatial Regression Models illustrates the use of spatial analysis in the social sciences within a regression framework and is accessible to readers with no prior background in spatial analysis. The text covers different modeling-related topics for continuous dependent variables, including: mapping data on spatial units, exploratory spatial data analysis, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. Using social sciences examples based on real data, Michael D. Ward and Kristian Skrede Gleditsch illustrate the concepts discussed, and show how to obtain and interpret relevant results. The examples are presented along with the relevant code to replicate all the analysis using the R package for statistical computing. Users can download both the data and computer code to work through all the examples found in the text. New to the Second Edition is a chapter on mapping as data exploration and its role in the research process, updates to all chapters based on substantive and methodological work, as well as software updates, and information on estimation of time-series, cross-sectional spatial models.

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Books by Gleditsch, Kristian Skrede

See the best price to sell, buy, or rent books by Gleditsch, Kristian Skrede. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

All International Politics Is Local: The Diffusion of Conflict, Integration, and Democratization

Inequality, Grievances, and Civil War (Cambridge Studies in Contentious Politics)

Inequality, Grievances, and Civil War (Cambridge Studies in Contentious Politics)

Spatial Regression Models (Quantitative Applications in the Social Sciences)

Spatial Regression Models (Quantitative Applications in the Social Sciences)