Public Policy Analytics

Public Policy Analytics PDF Author: Ken Steif
Publisher: CRC Press
ISBN: 100040157X
Category : Business & Economics
Languages : en
Pages : 229

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Book Description
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.

Public Policy Analytics

Public Policy Analytics PDF Author: Ken Steif
Publisher: CRC Press
ISBN: 100040157X
Category : Business & Economics
Languages : en
Pages : 229

Get Book

Book Description
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 Science for Public Policy

Data Science for Public Policy PDF Author: Jeffrey C. Chen
Publisher: Springer Nature
ISBN: 3030713520
Category : Mathematics
Languages : en
Pages : 365

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Book Description
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 PDF Author: Sally C. Morton
Publisher: Springer Science & Business Media
ISBN: 9780387987774
Category : Social Science
Languages : en
Pages : 260

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Book Description
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.

Statistics for Public Administration

Statistics for Public Administration PDF Author: Maureen Berner
Publisher: International City/County Management Association(ICMA)
ISBN: 9780873267717
Category : Business & Economics
Languages : en
Pages : 176

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Book Description


Data Analysis for Politics and Policy

Data Analysis for Politics and Policy PDF Author: Edward R. Tufte
Publisher: Prentice Hall
ISBN:
Category : Political Science
Languages : en
Pages : 196

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

Introduction to Data Science for Social and Policy Research

Introduction to Data Science for Social and Policy Research PDF Author: Jose Manuel Magallanes Reyes
Publisher: Cambridge University Press
ISBN: 1107117410
Category : Mathematics
Languages : en
Pages : 317

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Book Description
This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R.

Applied Statistics for Public Policy

Applied Statistics for Public Policy PDF Author: Brian P. Macfie
Publisher: Routledge
ISBN: 1317363523
Category : Business & Economics
Languages : en
Pages : 638

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Book Description
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 PDF Author: United States. National Recovery Administration. Division of Review. Statistics Section
Publisher:
ISBN:
Category : Industrial statistics
Languages : en
Pages : 134

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Book Description


Data Analysis for Business, Economics, and Policy

Data Analysis for Business, Economics, and Policy PDF Author: Gábor Békés
Publisher: Cambridge University Press
ISBN: 1108483011
Category : Business & Economics
Languages : en
Pages : 741

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

Data-Driven Policy Impact Evaluation

Data-Driven Policy Impact Evaluation PDF Author: Nuno Crato
Publisher: Springer
ISBN: 3319784617
Category : Political Science
Languages : en
Pages : 346

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Book Description
In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.