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Statistical Models and Causal Inference

David A. Freedman

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David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores th...

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Beschreibung

David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views.

Produktinformationen

Titel:

Statistical Models and Causal Inference

Untertitel:

A Dialogue with the Social Sciences

Autor:

David A. Freedman

EAN:

9780511687334

ISBN:

978-0-511-68733-4

Format:

E-Book (pdf)

Hersteller:

Cambridge University Press

Herausgeber:

Cambridge University Press

Genre:

Veröffentlichung:

23.11.2009

Digitaler Kopierschutz:

Adobe-DRM

Dateigrösse:

1.48 MB

Anzahl Seiten:

416

Jahr:

2009

Untertitel:

Englisch

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