Linear Probability, Logit, and Probit Models

Volume: 45

Series:
Quantitative Applications in the Social Sciences

November 1984 | 96 pages | SAGE Publications, Inc

Description
Contents

After showing why ordinary regression analysis is not appropriate in investigating dichotomous or otherwise "limited" dependent variables, this volume examines three techniques-linear probability, probit, and logit models-well-suited for such data. It reviews the linear probability model and discusses alternative specifications of nonlinear models.

Learn more about "The Little Green Book" - QASS Series! Click Here

Available Formats

ISBN: 9780803921337 Paperback Suggested Retail Price: $42.00 Bookstore Price: $33.60

See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email sageheoa@sagepub.com. Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html.

For assistance with your order: Please email us at textsales@sagepub.com or connect with your SAGE representative.

SAGE
2455 Teller Road
Thousand Oaks, CA 91320
www.sagepub.com

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

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.

Find out more