Identification for Prediction and Decision (Hardcover)

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.

General

Imprint:	Harvard University Press
Country of origin:	United States
Release date:	2008
First published:	2008
Authors:	Charles F. Manski
Dimensions:	235 x 156 x 27mm (L x W x T)
Format:	Hardcover - Cloth over boards / With printed dust jacket / Reinforced binding
Pages:	368
ISBN-13:	978-0-674-02653-7
Categories:	Books > Social sciences > Sociology, social studies > Social research & statistics > Social forecasting, futurology
LSN:	0-674-02653-5
Barcode:	9780674026537

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!