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OverviewA long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work. Statistics are an essential tool for making, evaluating, and improving public policy. Statistics for Public Policy is a crash course in wielding these unruly tools to bring maximum clarity to policy work. Former White House economist Jeremy G. Weber offers an accessible voice of experience for the challenges of this work, focusing on seven core practices: Thinking big-picture about the role of data in decisions Critically engaging with data by focusing on its origins, purpose, and generalizability Understanding the strengths and limits of the simple statistics that dominate most policy discussions Developing reasons for considering a number to be practically small or large Distinguishing correlation from causation and minor causes from major causes Communicating statistics so that they are seen, understood, and believed Maintaining credibility by being right (or at least respectably wrong) in every setting Statistics for Public Policy dispenses with the opacity and technical language that have long made this space impenetrable; instead, Weber offers an essential resource for all students and professionals working at the intersections of data and policy interventions. This book is all signal, no noise. Full Product DetailsAuthor: Jeremy G. WeberPublisher: The University of Chicago Press Imprint: University of Chicago Press Dimensions: Width: 14.00cm , Height: 1.80cm , Length: 21.60cm Weight: 0.254kg ISBN: 9780226830759ISBN 10: 0226830756 Pages: 192 Publication Date: 16 January 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsPreface 1. The Big Picture 2. Know Your Sample and Data 3. Know Simple Statistics and Their Power 4. Know What It Means to Account for Potholes 5. Know Large from Small and Explain the Difference 6. Think Hard about Causality 7. Show That You’ve Been to Table School 8. Know How to Be Mostly Right (or at Least Respectfully Wrong) 9. Fail the Test? A Case Study in Using Statistics for Policy Acknowledgments Notes Bibliography IndexReviews"“Our statistical texts—and often our teaching—ignore the craft that makes quantitative evidence useful for policy makers. In Statistics for Public Policy, Weber draws on his own experience to address the nitty-gritty issues that advisors confront in honestly and effectively interpreting and presenting evidence.” -- David L. Weimer | University of Wisconsin-Madison “The best public policy advisers know how to blend statistical knowledge with an understanding of the context of issues. Weber uses his experience as a White House economist to explain how analysts can make sense of messy real-world data and maintain their credibility even if their numbers turn out to be wrong. Accessible and engaging, Statistics for Public Policy presents practical tips to improve the use of statistics and data in the policy world.” -- Eric M. Patashnik | coauthor of ""A Practical Guide for Policy Analysis: The Eightfold Path to More Effective Problem Solving""" Author InformationJeremy G. Weber is professor in the University of Pittsburgh Graduate School of Public and International Affairs. He previously served as a chief economist for the White House Council of Economic Advisers. Tab Content 6Author Website:Countries AvailableAll regions |
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