Overview
- Authors:
-
-
Jeffrey C. Chen
-
Bennett Institute for Public Policy, University of Cambridge, Cambridge, UK
-
Edward A. Rubin
-
Department of Economics, University of Oregon, Eugene, USA
-
Gary J. Cornwall
-
Department of Commerce, Bureau of Economic Analysis, Suitland, USA
- Combines anecdotes from public sector experience with technical aspects of field
- Addresses current topics in ethics and fairness, data product development, and team organization in data science
- Includes data sets and functioning code examples
Access this book
Other ways to access
Table of contents (16 chapters)
-
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 1-4
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 5-12
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 13-31
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 33-59
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 61-82
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 83-112
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 113-138
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 139-162
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 163-183
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 185-215
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 217-235
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 237-257
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 259-281
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 283-297
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 299-315
-
- Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
Pages 317-330
-
Back Matter
Pages 331-363
About this book
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst’s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.
Authors and Affiliations
-
Bennett Institute for Public Policy, University of Cambridge, Cambridge, UK
Jeffrey C. Chen
-
Department of Economics, University of Oregon, Eugene, USA
Edward A. Rubin
-
Department of Commerce, Bureau of Economic Analysis, Suitland, USA
Gary J. Cornwall
About the authors
Jeffrey C. Chen: (1) Affiliated Researcher, Bennett Institute for Public Policy, University of Cambridge
Edward A. Rubin: (1) Assistant Professor, University of Oregon (Dept. of Economics)
Gary J. Cornwall: (1) Research Economist, U.S. Bureau of Economic Analysis
