How does regional interdependence influence the prospects for conflict, integration, and democratization? Some researchers look at the international system at large and disregard the enormous regional variations. Others take the concept of sovereignty literally and treat each nation-state as fully independent. Kristian Skrede Gleditsch looks at disparate zones in the international system to see how conflict, integration, and democracy have clustered over time and space. He argues that the most interesting aspects of international politics are regional rather than fully global or exclusively national. Differences in the local context of interaction influence states' international behavior as well as their domestic attributes. In All International Politics Is Local, Gleditsch clarifies that isolating the domestic processes within countries cannot account for the observed variation in distribution of political democracy over time and space, and that the likelihood of transitions is strongly related to changes in neighboring countries and the prior history of the regional context. Finally, he demonstrates how spatial and statistical techniques can be used to address regional interdependence among actors and its implications. Kristian Skrede Gleditsch is Assistant Professor of Political Science at the University of California, San Diego.
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.
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.
How does regional interdependence influence the prospects for conflict, integration, and democratization? Some researchers look at the international system at large and disregard the enormous regional variations. Others take the concept of sovereignty literally and treat each nation-state as fully independent. Kristian Skrede Gleditsch looks at disparate zones in the international system to see how conflict, integration, and democracy have clustered over time and space. He argues that the most interesting aspects of international politics are regional rather than fully global or exclusively national. Differences in the local context of interaction influence states' international behavior as well as their domestic attributes. In All International Politics Is Local, Gleditsch clarifies that isolating the domestic processes within countries cannot account for the observed variation in distribution of political democracy over time and space, and that the likelihood of transitions is strongly related to changes in neighboring countries and the prior history of the regional context. Finally, he demonstrates how spatial and statistical techniques can be used to address regional interdependence among actors and its implications. Kristian Skrede Gleditsch is Assistant Professor of Political Science at the University of California, San Diego.
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.
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.
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, creating data from maps, analyzing exploratory spatial data, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. Using social science examples based on real data, the authors 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.
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.
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