Linear Probability, Logit and Probit Models

Aldrich, John H.; Nelson, Forrest D.

ISBN 10: 0803921330 / ISBN 13: 9780803921337

Published by SAGE Publications, Inc, 1984

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Synopsis:

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.

About the Authors:

John H. Aldrich is Pfizer-Pratt University Professor of Political Science at Duke University. He is author of Why Parties: A Second Look (2011), coeditor of Positive Changes in Political Science (2007), and author of Why Parties (1995) and Before the Convention (1980). He is a past president of both the Southern Political Science Association and the Midwest Political Science Association and is serving as president of the American Political Science Association. In 2001 he was elected a fellow in the American Academy of Arts and Sciences.

Expertise * Prediction Markets * Qualitative and Limited Dependent Variable

Bibliographic Details

Title: Linear Probability, Logit and Probit Models
Publisher: SAGE Publications, Inc
Publication Date: 1984
Binding: Soft cover
Condition: good