Public Policy Analytics

Public Policy Analytics
Author: Ken Steif
Publisher: CRC Press
Total Pages: 254
Release: 2021-08-18
Genre: Business & Economics
ISBN: 1000401618

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

Data Analysis for Politics and Policy

Data Analysis for Politics and Policy
Author: Edward R. Tufte
Publisher: Prentice Hall
Total Pages: 196
Release: 1974
Genre: Political Science
ISBN:

Introduction to data analysis; Predictions and projections: some issues of research design; Two-variable linear regression; Multiple regression.

Data Science for Public Policy

Data Science for Public Policy
Author: Jeffrey C. Chen
Publisher: Springer Nature
Total Pages: 365
Release: 2021-09-01
Genre: Mathematics
ISBN: 3030713520

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.

Public Policy and Statistics

Public Policy and Statistics
Author: Sally C. Morton
Publisher: Springer Science & Business Media
Total Pages: 260
Release: 2000-05-19
Genre: Social Science
ISBN: 9780387987774

A critical yet constructive description of the rich analytical techniques and substantive applications that typify how statistical thinking has been applied at the RAND Corporation over the past two decades. Case studies of public policy problems are useful for teaching because they are familiar: almost everyone knows something abut health insurance, global warming, and capital punishment, to name but a few of the applications covered in this casebook. Each case study has a common format that describes the policy questions, the statistical questions, and the successful and the unsuccessful analytic strategies. Readers should be familiar with basic statistical concepts including sampling and regression. While designed for statistics courses in areas ranging from economics to health policy to the law at both the advanced undergraduate and graduate levels, empirical researchers and policy-makers will also find this casebook informative.

Data Analysis for Business, Economics, and Policy

Data Analysis for Business, Economics, and Policy
Author: Gábor Békés
Publisher: Cambridge University Press
Total Pages: 741
Release: 2021-05-06
Genre: Business & Economics
ISBN: 1108483011

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Applied Statistics for Public Policy

Applied Statistics for Public Policy
Author: Brian P. Macfie
Publisher: Routledge
Total Pages: 555
Release: 2017-07-28
Genre: Business & Economics
ISBN: 1317363531

This practical text provides students with the statistical tools needed to analyze data, and shows how statistics can be used as a tool in making informed, intelligent policy decisions. The authors' approach helps students learn what statistical measures mean and focus on interpreting results, as opposed to memorizing and applying dozens of statistical formulae. The book includes more than 500 end-of-chapter problems, solvable with the easy-to-use Excel spreadsheet application developed by the authors. This template allows students to enter numbers into the appropriate sheet, sit back, and analyze the data. This comprehensive, hands-on textbook requires only a background in high school algebra and has been thoroughly classroom-tested in both undergraduate and graduate level courses. No prior expertise with Excel is required. A disk with the Excel template and the data sets is included with the book, and solutions to the end-of-chapter problems will be provided on the M.E. Sharpe website.

Statistical Materials

Statistical Materials
Author: United States. National Recovery Administration. Division of Review. Statistics Section
Publisher:
Total Pages: 50
Release: 1935
Genre: Industrial statistics
ISBN:

Real Stats

Real Stats
Author: Michael A. Bailey
Publisher: Oxford University Press, USA
Total Pages: 0
Release: 2016
Genre: Econometrics
ISBN: 9780199981946

Real Stats offers an engaging and practical introduction to statistical analysis for upper-level undergraduates and first-year graduate students in political science, public policy, and law. Grounded in contemporary understandings of causal inferences, the text invites students to see how econometric tools can help answer important and interesting questions. This emphasis on practical applications, combined with a lively and conversational narrative, provides students with a solid foundation in the analytical tools they will use throughout their academic and professional careers.