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Handbook of Matching and Weighting Adjustments for Causal Inference
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.
Advances in Experimental Political Science
Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.
Unequal Democracies
Introduces the latest research on political inequality and its relationship to economic inequalities in North America and Western Europe.
Hooked
Political interest is the strongest predictor of 'good citizenship', yet little is known about it. This book explains why some people find politics interesting while others don't.
Gender Equality and Public Policy
This book offers a comprehensive and in-depth overview of how public policy is shaping gender equality in Europe.
Does Relative Deprivation Condition the Effects of Social Protection Programs on Political Support? Experimental Evidence from Pakistan∗
Could perceived relative economic standing affect citizens’ support for political leaders and institutions? We explore this question by examining Pakistan’s national unconditional cash transfer program, the Benazir Income Support Program (BISP). Leveraging a regression discontinuity approach using BISP’s administrative data and an original survey experiment, we find that perceptions of relative deprivation color citizen reactions to social protection. When citizens do not feel relatively deprived, receiving cash transfers has little sustained effect on individuals’ reported level of support for their political system and its leaders. However, when citizens feel relatively worse off, those receiving cash transfers become more politically satisfied, while those denied transfers become more politically disgruntled. Moreover, the magnitude of the reduction in political support among non-beneficiaries is larger than the magnitude of the increase in political support among beneficiaries. This has important implications for our understanding of the political ramifications of rising perceived inequality.
The Effect
Extensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions An easy-to-read conversational tone Up-to-date coverage of methods with fast-moving literatures like difference-in-differences
Beyond Turnout
Beyond Turnout crafts a new theory that considers the downstream consequences of compulsory voting for both citizens and political parties. This theory is comprehensively tested through data from dozens of countries, with a particular focus on Argentina and Switzerland
Time Counts
How to study the past using data Quantitative Analysis for Historical Social Science advances historical research in the social sciences by bridging the divide between qualitative and quantitative analysis. Gregory Wawro and Ira Katznelson argue for an expansion of the standard quantitative methodological toolkit with a set of innovative approaches that better capture nuances missed by more commonly used statistical methods. Demonstrating how to employ such promising tools, Wawro and Katznelson address the criticisms made by prominent historians and historically oriented social scientists regarding the shortcomings of mainstream quantitative approaches for studying the past. Traditional stat...
Impact Evaluation in Practice, Second Edition
The second edition of the Impact Evaluation in Practice handbook is a comprehensive and accessible introduction to impact evaluation for policy makers and development practitioners. First published in 2011, it has been used widely across the development and academic communities. The book incorporates real-world examples to present practical guidelines for designing and implementing impact evaluations. Readers will gain an understanding of impact evaluations and the best ways to use them to design evidence-based policies and programs. The updated version covers the newest techniques for evaluating programs and includes state-of-the-art implementation advice, as well as an expanded set of exam...
