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Nonrecursive Causal Models - 84 edition

Nonrecursive Causal Models (ISBN10: 0803922655; ISBN13: 9780803922655)
ISBN13: 978-0803922655
ISBN10: 0803922655

This edition has also been released as:
ISBN13: 978-0803920538
ISBN10: 0803920539

Summary: Many substantive research problems in the social sciences (for which the underlying assumption of unidirectionality in causal effects is unrealistic) do not lend themselves to 'recursive' models. In such cases, more complex 'nonrecursive' models are necessary. The great difficulty with nonrecursive models is that (unlike recursive models) many are 'unidentified', making meaningful parameter estimation impossible. Even when they are identified, it would be inappropriate to use OLS reg
ression techniques (appropriate for recursive models) for the purpose of parameter estimation. The author defines the concept of identification and explains what 'goes wrong' with some nonrecursive models to make them nonidentified. He provides various tests which can be used to determine whether a nonrecursive model is identified, and reviews the most common techniques for estimating the parameters of an identified model. Illustrations from a variety of social science disciplines are used throughout the book. Familiarity with Causal Analysis (Asher, vol 3) is necessary for a proper understanding of this book.
...show more
Summary: Many substantive research problems in the social sciences (for which the underlying assumption of unidirectionality in causal effects is unrealistic) do not lend themselves to 'recursive' models. In such cases, more complex 'nonrecursive' models are necessary. The great difficulty with nonrecursive models is that (unlike recursive models) many are 'unidentified', making 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 parameter estimation. The author defines the concept of identification and explains what 'goes wrong' with some nonrecursive models to make them nonidentified. He provides various tests which can be used to determine whether a nonrecursive model is identified, and reviews the most common techniques for estimating the parameters of an identified model. Illustrations from a variety of social science disciplines are used throughout the book. Familiarity with Causal Analysis (Asher, vol 3) is necessary for a proper understanding of this book. ...show less

Edition/Copyright: 84
Cover:
Publisher: Sage Publications, Inc.
Year Published: 1984
International: No



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