Identification for Prediction and Decision is popular PDF and ePub book, written by Charles F. Manski in 2009-06-30, it is a fantastic choice for those who relish reading online the Psychology genre. Let's immerse ourselves in this engaging Psychology book by exploring the summary and details provided below. Remember, Identification for Prediction and Decision can be Read Online from any device for your convenience.
Identification for Prediction and Decision Book PDF Summary
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 behavior. 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.
Detail Book of Identification for Prediction and Decision PDF
- Author : Charles F. Manski
- Release : 30 June 2009
- Publisher : Harvard University Press
- ISBN : 0674033663
- Genre : Psychology
- Total Page : 370 pages
- Language : English
- PDF File Size : 20,9 Mb
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