Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)
John H. Aldrich, Forrest D. Nelson
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.
الفئات:
عام:
1984
الناشر:
Sage Publications, Inc
اللغة:
english
الصفحات:
106
ISBN 10:
0803921330
ملف:
PDF, 465 KB
IPFS:
,
english, 1984
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