The Science of Public Policy PDF Download
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Author: Tadao Miyakawa
Publisher:
ISBN: 9780415195935
Category : Policy sciences
Languages : en
Pages :
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Book Description
Author: Tadao Miyakawa
Publisher:
ISBN: 9780415195935
Category : Policy sciences
Languages : en
Pages :
Get Book Here
Book Description
Author: Tadao Miyakawa
Publisher: Taylor & Francis
ISBN: 9780415195959
Category : Policy sciences
Languages : en
Pages : 472
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Book Description
Author: Tadao Miyakawa
Publisher: Taylor & Francis
ISBN: 9780415195942
Category : Political Science
Languages : en
Pages : 520
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Book Description
Author: Tadao Miyakawa
Publisher:
ISBN:
Category : Policy sciences
Languages : en
Pages :
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Book Description
Author: Tadao Miyakawa
Publisher:
ISBN:
Category : Policy sciences
Languages : en
Pages :
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Book Description
Author: James Augustine Shannon
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 298
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Book Description
Author: Tadao Miyakawa
Publisher: Taylor & Francis
ISBN: 9780415195966
Category : Policy sciences
Languages : en
Pages : 568
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Book Description
Author: Tadao Miyakawa
Publisher: Taylor & Francis
ISBN: 9780415195980
Category : Political Science
Languages : en
Pages : 584
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Book Description
This set offers a comprehensive collection of papers on this significant discipline. Published in two parts with new introductions to the individual volumes by the editor, this is an invaluable tool for any researcher in this area.
Author: James Augustine Shannon
Publisher: Rockefeller Univ. Press
ISBN:
Category : Science
Languages : en
Pages : 298
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Book Description
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.
