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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 assum...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Manski, Charles F.
Format: Électronique eBook
Langue:Inglés
Publié: Cambridge, Mass. : Harvard University Press, 2007.
Sujets:
Accès en ligne:Texto completo
Description
Résumé:"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."--Jacket
Description matérielle:1 online resource (xiv, 348 pages)
Bibliographie:Includes bibliographical references (pages 321-337) and indexes.
ISBN:9780674033665
0674033663