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Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)
Linear Probability Logit and Probit Models - Quantitative Applications in the Social Sciences
Author: John H. Aldrich, Forrest D. Nelson
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.
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ISBN-13: 9780803921337
ISBN-10: 0803921330
Publication Date: 11/1/1984
Pages: 96
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Publisher: SAGE Publications
Book Type: Paperback
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