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.
| ISBN: | 9780803921337 |
| Publication date: | 21st February 1985 |
| Author: | John Aldrich, Forrest D Nelson |
| Publisher: | SAGE Publications Inc |
| Format: | Paperback |
| Pagination: | 96 pages |
| Series: | Quantitative Applications in the Social Sciences |
| Genres: |
Social research and statistics |
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.
Linear Probability, Logit, and Probit Models features in the following genres: Social research and statistics
Paperback. £36.89, down from the £40.99 cover price. Not Available.
Linear Probability, Logit, and Probit Models was written by John Aldrich, Forrest D Nelson and published by SAGE Publications Inc
Linear Probability, Logit, and Probit Models has 96 pages
Yes it is part of Quantitative Applications in the Social Sciences series
£36.89, reduced from £40.99. Not Available.