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 ...
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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.
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First Printing in Very Good condition. Sparsely marked on fewer than 5 pages. The covers are in great shape. The binding is tight. An organization stamp is neatly marked out on the title page. The book will be carefully packaged for shipment for protection from the elements. USPS electronic tracking number issued free of charge. 94 pages. Quantitative Applications in the Social Sciences.
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This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 200grams, ISBN: 0803922655.
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