Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise "limited" dependent variables, but this volume examines three techniques -- linear probability, probit, and logit models -- which are well-suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models. Using detailed examples, Aldrich and Nelson point out the differences among linear, logit, and probit models, and explain the assumptions associated with each.
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Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise "limited" dependent variables, but this volume examines three techniques -- linear probability, probit, and logit models -- which are well-suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models. Using detailed examples, Aldrich and Nelson point out the differences among linear, logit, and probit models, and explain the assumptions associated with each.
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Add this copy of Linear Probability, Logit, and Probit Models to cart. $2.45, Sold by Books2savor rated 4.0 out of 5 stars, ships from Lyons, OR, UNITED STATES, published 1984 by Sage Publications, Inc.
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Sage Linear Probability, Logit, and Probit Models: Quantitative Applications in the Social Sciences Number 45, 13th printing, 1994. An organization stamp is neatly marked out on the title page; otherwise, the book is in Near Fine or Very Good+ condition. The covers are in great shape. The binding is square and tight. The interior pages are clean and unmarked. The book will be carefully packaged for shipment for protection from the elements. USPS electronic tracking number issued free of charge. 96 pages. Quantitative Applications in the Social Sciences.
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Volume 45. This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. Book contains highlighter markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 200grams, ISBN: 0803921330.