Regression models for categorical dependent variables using Stata / J. Scott Long, Departments of Sociology and Statistics, Indiana University, Bloomington, Indiana, Jeremy Freese, Department of Sociology and Institute for Policy Research, Northwestern University, Evanston, Illinois.

After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias. "The goal of Regression Models for Categorical Dependent Varia...

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Bibliographic Details
Main Authors: Long, J. Scott (Author)
Freese, Jeremy (Author)
Published: College Station, Texas : Stata Press, 2014.
Edition:Third edition.
Physical Description:xxiii, 589 pages : charts ; 24 cm
Format: Book

MSU Main Library

Holdings details from MSU Main Library
Call Number: QA278.2 .L654 2014
QA278.2 .L654 2014 Available Get this