£70.11

Harvard University Press Identification for Prediction and Decision

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£75.69 £69.55 £70.89 £72.23 £73.57 £74.91 £76.25 22 February 2026 11 March 2026 28 March 2026 14 April 2026 01 May 2026

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Description

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.

Key Features

Used Book in Good Condition

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 December 2007
Listed Since
23 April 2007

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