Statistics for Public Policy
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Statistics for Public Policy
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.
Book Details
INFORMATION
ISBN: 9780226830759
Publisher: The University of Chicago Press
Format: Paperback / softback
Date Published: 16 January 2024
Country: United States
Imprint: University of Chicago Press
Illustration: 17 line drawings, 2 tables
Audience: Professional and scholarly
DIMENSIONS
Spine width: 18.0mm
Width: 140.0mm
Height: 216.0mm
Weight: 254g
Pages: 192
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.
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