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"The democratic imagination is facing significant challenges. These challenges involve not only deep philosophical questions about the core values of democracy, but also pressing practical issues related to how we should understand and confront the rise of right-wing authoritarian populism. What should our stance be as defenders of democratic life? The two most prominent efforts to orient us here are the deliberative and agonistic models of democracy. The former emphasizes reasoned discussion, but some worry that this exclusive focus overlooks structures of injustice that distort civil deliberation. The latter prioritizes contestation and conflict, but its proponents struggle to explain why ...
Three mid-fifteenth-century chronicles of London giving detailed insight into the period, first published in 1905.
Explaining Support for Populism in Contemporary Latin America investigates the stronghold that populism exerts on citizens in the developing world. More specifically, relying on regional surveys, this book explores why many citizens consistently supported eight populist presidents who were elected in contemporary Latin America. It examines the determinants of support for the populist presidents who governed Venezuela, Ecuador, Bolivia and Nicaragua between 1999 and 2019, and the variables that explain support for the most recent populist presidents in Mexico, Brazil and El Salvador between 2018 and 2023. Unique to this approach is a strong emphasis on the demand-side of populism and the use ...
Describes what patronage employees do in exchange for their jobs and provides a novel explanation of why they do it.
Argues that the global order is constructed from sovereign hybridity, where power flows without regard to public and private boundaries.
Offers a comparative study of the origins, performance, and reform of contemporary mechanisms of direct democracy.
An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.