Identification for Prediction and Decision ebook
Identification for Prediction and Decision ebook
Identification for Prediction and Decision.cCharles F. Manski
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Author: Charles F. Manski
Number of Pages: 368 pages
Published Date: 31 Jan 2008
Publisher: HARVARD UNIVERSITY PRESS
Publication Country: Cambridge, Mass, United States
Language: English
Type: Pdf
ISBN: 9780674026537
File size: 14 Mb
Download Link: Identification for Prediction and Decision
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This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements.Building on the foundation laid in the author's "Identification Problems in the Social Sciences" (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behaviour.Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.
Read online Identification for Prediction and Decision Buy Identification for Prediction and Decision Download and read Identification for Prediction and Decision for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Identification for Prediction and Decision
Identification for Prediction and Decision.cCharles F. Manski
Author: Charles F. Manski
Number of Pages: 368 pages
Published Date: 31 Jan 2008
Publisher: HARVARD UNIVERSITY PRESS
Publication Country: Cambridge, Mass, United States
Language: English
Type: Pdf
ISBN: 9780674026537
File size: 14 Mb
Download Link: Identification for Prediction and Decision
---------------------------------------------------------------
This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements.Building on the foundation laid in the author's "Identification Problems in the Social Sciences" (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behaviour.Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.
Read online Identification for Prediction and Decision Buy Identification for Prediction and Decision Download and read Identification for Prediction and Decision for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Identification for Prediction and Decision