Political Games uses bold visuals and cases from contemporary politics to present forty-nine of the most compelling insights from game theory, illuminating the common logics underlying political problems. Each game is depicted graphically and accompanied by a concise explanation and technical notes. Collectively, these games reveal profound connections between seemingly disparate social situations, from figuring out when to send troops to the battlefield to strategizing on how to protect the environment.
Introduces a Bayesian approach to the use of causal models to design and carry out qualitative and mixed-methods research. Addressed to researchers across the social sciences, this book shows how causal models allow us to combine extensive and intensive data strategies to answer both general and case-specific causal questions.
Ethnically homogenous communities often do a better job than diverse communities of producing public goods such as satisfactory schools and health care, adequate sanitation, and low levels of crime. Coethnicity reports the results of a landmark study that aimed to find out why diversity has this cooperation-undermining effect. The study, conducted in a neighborhood of Kampala, Uganda, notable for both its high levels of diversity and low levels of public goods provision, hones in on the mechanisms that might account for the difficulties diverse societies often face in trying to act collectively. The Mulago-Kyebando Community Study uses behavioral games to explore how the ethnicity of the person with whom one is interacting shapes social behavior. Hundreds of local participants interacted with various partners in laboratory games simulating real-life decisions involving the allocation of money and the completion of joint tasks. Many of the subsequent findings debunk long-standing explanations for diversity's adverse effects. Contrary to the prevalent notion that shared preferences facilitate ethnic collective action, differences in goals and priorities among participants were not found to be structured along ethnic lines. Nor was there evidence that subjects favored the welfare of their coethnics over that of non-coethnics. When given the opportunity to act altruistically, individuals did not choose to benefit coethnics disproportionately when their actions were anonymous. Yet when anonymity was removed, subjects behaved very differently. With their actions publicly observed, subjects gave significantly more to coethnics, expected their partners to reciprocate, and expected that they would be sanctioned for a failure to cooperate. This effect was most pronounced among individuals who were otherwise least likely to cooperate. These results suggest that what may look like ethnic favoritism is, in fact, a set of reciprocity norms—stronger among coethnics than among non-coethnics—that make it possible for members of more homogeneous communities to take risks, invest, and cooperate without the fear of getting cheated. Such norms may be more subject to change than deeply held ethnic antipathies—a powerful finding for policymakers seeking to design social institutions in diverse societies. Research on ethnic diversity typically draws on either experimental research or field work. Coethnicity does both. By taking the crucial step from observation to experimentation, this study marks a major breakthrough in the study of ethnic diversity. A Volume in the Russell Sage Foundation Series on Trust
A state-of-the-art approach to evaluating research design for students and scholars across the social sciences Assessing the properties of research designs before implementing them can be tricky for even the most seasoned researchers. This book provides a powerful framework—Model, Inquiry, Data Strategy, and Answer Strategy, or MIDA—for describing any empirical research design in the social sciences. MIDA enables you to characterize the key analytic features of observational and experimental designs, qualitative and quantitative designs, and descriptive and causal designs. An accompanying algorithm lets you declare designs in the MIDA framework, diagnose properties such as bias and precision, and redesign features like sampling, assignment, measurement, and estimation procedures. Research Design in the Social Sciences is an essential tool kit for the entire life of a research project, from planning and realization of design to the integration of your results into the scientific literature. A must-have resource for current and future researchers who want to learn about the properties of their designs before they implement them Includes a library of the most common designs in the social sciences Provides a complete declaration of the canonical design for each library entry, describes the circumstances under which the design can be strong or weak, and explores the consequences of the choices under the research designer’s control Accompanied by online resources that can be used in conjunction with the book An ideal textbook for graduate students and advanced undergraduates
A state-of-the-art approach to evaluating research design for students and scholars across the social sciences Assessing the properties of research designs before implementing them can be tricky for even the most seasoned researchers. This book provides a powerful framework—Model, Inquiry, Data Strategy, and Answer Strategy, or MIDA—for describing any empirical research design in the social sciences. MIDA enables you to characterize the key analytic features of observational and experimental designs, qualitative and quantitative designs, and descriptive and causal designs. An accompanying algorithm lets you declare designs in the MIDA framework, diagnose properties such as bias and precision, and redesign features like sampling, assignment, measurement, and estimation procedures. Research Design in the Social Sciences is an essential tool kit for the entire life of a research project, from planning and realization of design to the integration of your results into the scientific literature. A must-have resource for current and future researchers who want to learn about the properties of their designs before they implement them Includes a library of the most common designs in the social sciences Provides a complete declaration of the canonical design for each library entry, describes the circumstances under which the design can be strong or weak, and explores the consequences of the choices under the research designer’s control Accompanied by online resources that can be used in conjunction with the book An ideal textbook for graduate students and advanced undergraduates
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