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Regression Models for Categorical and Limited Dependent Variables

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ISBN-10: 0803973748

ISBN-13: 9780803973749

Edition: 1997

Authors: John Scott Long

List price: $151.00
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Description:

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.
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Book details

List price: $151.00
Copyright year: 1997
Publisher: SAGE Publications, Incorporated
Publication date: 1/9/1997
Binding: Hardcover
Pages: 328
Size: 6.30" wide x 9.30" long x 0.88" tall
Weight: 1.628
Language: English

Scott Long is Distinguished Professor and Chancellor#8242;s Professor of Sociology and Statistics at Indiana University, Bloomington. He teaches quantitative methods both at Indiana University and at the ICSPR Summer Program. His earlier research examined gender differences in the scientific career. In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality.

Introduction
Continuous Outcomes
Binary Outcomes
Testing and Fit
Ordinal Outcomes
Nominal Outcomes
Limited Outcomes
Count Outcomes
Conclusions