Sage university papers series. Quantitative applications in the social sciences ;
Volume Designation
no. 07-045
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 93-94).
CONTENTS NOTE
Text of Note
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 -- Minimum chi-square estimation and polytomous models -- Summary and extensions.
0
SUMMARY OR ABSTRACT
Text of Note
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.
SYSTEM REQUIREMENTS NOTE (ELECTRONIC RESOURCES)
Text of Note
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.