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Linear Probability, Logit, and Probit Models
Language
English
English
Book
Paperback
Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited'...
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Libristo code: 04713631
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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.
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About the book
Full name
Linear Probability, Logit, and Probit Models
Author
John H. Aldrich, Forrest D. Nelson
Language
English
English
Binding
Book - Paperback
Date of issue
1985
Number of pages
96
EAN
9780803921337
ISBN
0803921330
Libristo code
04713631
Publishers
SAGE Publications Inc
Weight
118
Dimensions
142 x 216 x 5
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