Identification for prediction and decision / Charles F. Manski.

Cambridge, Mass. : Harvard University Press, 2007.

xiv, 348 pages ; 25 cm.

"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.

English

June 13, 2017

Includes bibliographical references (pages 321-337) and indexes.