Statistics for Public Policy: A Practical Guide to Being Mostly Right (or at Least Respectably Wrong)

Synopsis

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.

Copyright:

2024

Book Details

Book Quality:

Publisher Quality

Book Size:

192 Pages

ISBN-13:

9780226830759

Related ISBNs:

9780226825656

Publisher:

University of Chicago Press

Date of Addition:

01/16/24

Copyrighted By:

The University of Chicago

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Business and Finance, Mathematics and Statistics, Politics and Government

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.