Multiple Regression in Practice (Quantitative Applications in the Social Sciences)
Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise "limited" dependent variables, but this volume examines three techniques -- linear probability, probit, and logit models -- which are well-suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models. Using detailed examples, Aldrich and Nelson point out the differences among linear, logit, and probit models, and explain the assumptions associated with each.
| Country | USA |
| Brand | Sage Publications |
| Manufacturer | SAGE Publications, Inc |
| Binding | Paperback |
| ItemPartNumber | illustrations, bibliography |
| ReleaseDate | 1984-11-01 |
| UnitCount | 1 |
| EANs | 9780803921337 |
