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Linear Probability, Logit and Probit Models Author: John H. Aldrich

ISBN: 9780803921337 Format: Paperback Number Of Pages: 96 Published: 1 February 1985 Country of Publication: US Dimensions (cm): 21.5 x 13.9 x 0.6 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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Linear Probability, Logit and Probit Models By J

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