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Harvard University Press Harvard UP Identification for Prediction and Decision Book

Name: Harvard UP Identification for Prediction and Decision Book
Brand: Harvard University Press
Price: 77.22 GBP
Availability: InStock

Econometrics

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Description

Expand your understanding of social science methodology with Identification for Prediction and Decision from Harvard University Press. This text provides a full-scale exposition of Charles Manski's approach to analyzing empirical questions. By focusing on what can be learned from data alone versus what can be achieved when combining data with credible weak assumptions, this book offers a new way to approach research questions. Researchers will find value in Manski's argument that inferences based on weak assumptions can lead to wide consensus, whereas strong assumptions often lead to disagreement. This work builds upon the foundation established in the author's previous book, Identification Problems in the Social Sciences. It is an essential resource for those studying econometrics and the fundamental ways data informs decision-making and prediction in complex social systems.

Key Features

Comprehensive methodology for analyzing empirical questions within the social sciences.

Explores the relationship between data-only learning and the use of credible weak assumptions.

Provides a framework to achieve wider consensus in research through weaker assumptions.

Builds directly on the foundation of Identification Problems in the Social Sciences.

Used book offered in good condition for academic study.

Published by Harvard University Press for scholarly reliability.

Product Specifications

Brand: Harvard University Press
Format: hardcover
ASIN: 0674026535
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 14 December 2007
Listed Since: 23 April 2007

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This is the most expensive it has ever been. Walk away.

Harvard University Press Harvard UP Identification for Prediction and Decision Book

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Similar Products You Might Like

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