Linear probability, logit, and probit models /
After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifica...
| Основен автор: | Aldrich, John H., 1947- |
|---|---|
| Други автори: | Nelson, Forrest D. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Beverly Hills :
Sage Publications,
℗♭1984.
|
| Серия: |
Quantitative applications in the social sciences ;
no. 07-045. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24734 |
| Подобни документи: |
Print version::
Linear probability, logit, and probit models. |
| Резюме: |
After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models. |
|---|---|
| Физически характеристики: |
1 online resource (95 pages) : illustrations. |
| Формат: |
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Библиография: |
Includes bibliographical references (pages 93-94). |
| ISBN: |
0585216932 9780585216935 9781412984744 1412984742 |