Overview
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.
The book, Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences) [Bulk, Wholesale, Quantity] ISBN#9780803921337 in Paperback by John H. Aldrich, Forrest D. Nelson may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
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