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...
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| Format: | eBook |
| Language: | English |
| Published: |
Newbury Park, [Calif.] ; London :
SAGE,
[1984]
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| Series: | Quantitative applications in the social sciences ;
45. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Item Description: | "A Sage university paper." Electronic resource. |
| Physical Description: | 1 online resource (95 pages) : illustrations. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781412984744 (ebook) : |