Sage university papers series. Quantitative applications in the social sciences ; no. 07-037 Nonrecursive Causal Models (Quantitative Applications in the Social Sciences)
Type
Book
Authors
ISBN 10
0803922655
ISBN 13
9780803922655
Category
Unknown
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Publication Year
1984
Publisher
Pages
94
Subject
Social sciences--Mathematical models. Regression analysis.
Series Name
Abstract
Where an assumption of unidirectionality in causal effects is unrealistic, 'recursive' models cannot be used, and more complex 'nonrecursive' models are necessary. Unfortunately, many nonrecursive models (unlike recursive models) are 'unidentified', which makes meaningful parameter estimation impossible. Even when they are identified, it would be inappropriate to use OLS regression techniques (appropriate for recursive models) for the purpose of estimation. The concept of identification, and the factors that lead to it are explained; and various tests for determination are provided. Illustrations from a variety of social science disciplines are used throughout the book. - from Amazon
Number of Copies
1
