Product Information
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.Product Identifiers
PublisherSAGE Publications INC International Concepts
ISBN-139780803921337
eBay Product ID (ePID)88928765
Product Key Features
Number of Pages96 Pages
Publication NameLinear Probability, Logit, and Probit Models
LanguageEnglish
Publication Year1985
TypeTextbook
Subject AreaSocial Research
AuthorJohn Aldrich, Forrest D. Nelson
SeriesQuantitative Applications in the Social Sciences
Dimensions
Item Height215 mm
Item Width139 mm
Additional Product Features
Country/Region of ManufactureUnited States
Title_AuthorJohn Aldrich, Forrest D. Nelson