This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements.
Building on the foundation laid in the author's Identification Problems in the Social Sciences (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behavior.
Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.
This volume is not a collection of artifacts from past decades of philosophy. Instead, it is a collection of essays that each make a significant contribution to contemporary work in philosophy. This reflects the fact that Gibbard’s work has not only had a massive influence on past discussion in philosophy but also continues to influence new directions of philosophical research.
With contributions from:
Sara Aronowitz, Simon Blackburn, Paul Boghossian, David Braddon-Mitchell, Nate Charlow, Stephen Darwall, Jamie Dreier, Billy Dunaway, Melissa Fusco, Sona Ghosh, Allan Gibbard, Bill Harper, Paul Horwich, Zoë Johnson King, Tristram McPherson, Howard Nye, Lauren Olin, Caleb Perl, David Plunkett, Peter Railton, Connie Rosati, Mark Schroeder, Alex Silk, Daniel J. Singer, Brian Skyrms, and Seth Yalcin.
This volume brings together feminist social and biomedical scholars from the Southern and Northern hemispheres to examine the aggregate forces that affect reproductive choice. Drawing on numerous case studies, this book examines the range of social, economic, and scientific policies which collectively impact on reproductive well being. Power and Decision offers an analysis of how disparate policies, seemingly unrelated to reproduction, are implicitly “pro-natalist” or “anti-natalist.” Moreover, these policies are imbued with gender, race, and class biases. The authors examine the reproductive impact of welfare and parental leave legislation, health services, adoption policies, biomedical research, the global transfer and regulation of reproductive technologies, and international family planning programs.
Offering a rare global feminist critique of social policy, this volume makes explicit the direction of current legislative, economic, and scientific trends, providing a basis for discussion, debate, and possible redress.
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