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Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Lea Details

Publisher
University of Chicago Press; First Edition
ISBN 13
9780226830759
ISBN 10
226830756
Book Description
A 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.
About the Author
Jeremy 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.
Language
English
Author
Jeremy G. Weber
Publication Date
2024-01-16
Number of Pages
192 pages