Linear Probability Logit & Probit Models

by Aldrich, John
4.9 out of 5 Customer Rating
ISBN: 9780803921337
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Overview

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.

  • Format: Trade Paperback
  • Author: Aldrich, John
  • ISBN: 9780803921337
  • Condition: Used
  • Dimensions: 7.98 x 0.23
  • Number Of Pages: 96
  • Publication Year: 2001

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