Identification for Prediction and Decision

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9780674026537: Identification for Prediction and Decision
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Book by Manski Charles F

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Charles Manski is a highly original and influential voice in econometrics. His work on partial identification and nonparametric bounds now holds a central position in many areas of theoretical and applied research. This comprehensive yet accessible text brings together the author's research on incomplete data, on treatment response and on choice behavior. It is an important contribution to our knowledge and will stand as a key reference for students and researchers for years to come.--Richard Blundell, University College London

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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.

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Charles F. Manski
Publicado por HARVARD UNIVERSITY PRESS, United States (2008)
ISBN 10: 0674026535 ISBN 13: 9780674026537
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Descripción HARVARD UNIVERSITY PRESS, United States, 2008. Hardback. Condición: New. Language: English . Brand New Book. 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. Nº de ref. del artículo: AAH9780674026537

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Charles F Manski (author)
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Descripción Harvard University Press 2007-12-14, Cambridge, Mass. |London, 2007. hardback. Condición: New. Nº de ref. del artículo: 9780674026537

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Charles F. Manski
Publicado por HARVARD UNIVERSITY PRESS, United States (2008)
ISBN 10: 0674026535 ISBN 13: 9780674026537
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Descripción HARVARD UNIVERSITY PRESS, United States, 2008. Hardback. Condición: New. Language: English . Brand New Book. 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. Nº de ref. del artículo: AAH9780674026537

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Descripción Harvard Univ Press. Condición: BRAND NEW. BRAND NEW Hardcover A Brand New Quality Book from a Full-Time Veteran Owned Bookshop in business since 1992!. Nº de ref. del artículo: 2673297

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Descripción Harvard University Press, 2007. HRD. Condición: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. del artículo: WH-9780674026537

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Descripción 2007. Hardback. Condición: NEW. 9780674026537 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. del artículo: HTANDREE0821983

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Charles F. Manski
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Descripción HARVARD UNIVERSITY PRESS, United States, 2008. Hardback. Condición: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. del artículo: BTE9780674026537

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