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Linear Probability, Logit, and Probit Models
| John H. Aldrich | University of Minnesota, USA |
| Forrest D. Nelson | University of Iowa , Iowa City |
| © 1995 | 96 pages | SAGE Publications, Inc |
Volume 45
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| Paperback | ISBN: | 9780803921337 | $18.00 | |
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.
