ENGLISH

Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)

By John H. Aldrich , Forrest D. Nelson

Book information

Publisher
Inc, Sage Publications
Year
1984
ISBN
0803921330, 9780803921337
LCC
QA273 .A545 1984
Open Library ID
OL2870861M
Language
english
Format
PDF
Filesize
465 kB (476387 bytes)
Pages
106\106
Orientation
no
Scanned
yes
Time added
2011-08-31 04:54:40

Description

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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