Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)
Type
Book
Authors
ISBN 10
0803921330
ISBN 13
9780803921337
Category
Unknown
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Publication Year
1984
Publisher
Pages
96
Description
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.
Number of Copies
1
