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Book Cover
Author Aldrich, John H., 1947-

Title Linear probability, logit, and probit models / John H. Aldrich, Forrest D. Nelson
Published Beverly Hills : Sage Publications, [1984]
Beverly Hills, California : Sage Publications, ©1984


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Description 95 pages : illustrations ; 22 cm
Series Sage university papers series. Quantitative applications in the social sciences ; no. 07-045
Quantitative applications in the social sciences ; no. 07-045
Contents The linear probability model -- Specification of nonlinear probability models -- Estimation of probit and logit models for dichotomous dependent variables -- Minimum chi-square estimation and polytomous models -- Summary and extensions
Summary After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models
Analysis Social sciences Regression analysis
Bibliography Includes bibliographical references (pages 93-94)
Notes Also issued online
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL
Print version record
Sage university papers series. no:07-045
Subject Logits.
Logistic Models.
Models, Statistical.
Multivariate Analysis.
Social Sciences -- methods.
Logistic Models.
Multivariate Analysis.
Probability Theory.
Social Sciences -- methods.
Social Sciences.
Genre/Form Statistics.
Author Nelson, Forrest D.
LC no. 84051766
ISBN 0803921330