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Linear Probability, Logit, and Probit Models - John Aldrich - Bog

Bag om Linear Probability, Logit, and Probit Models

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780803921337
  • Indbinding:
  • Paperback
  • Sideantal:
  • 96
  • Udgivet:
  • 21. februar 1985
  • Størrelse:
  • 142x216x5 mm.
  • Vægt:
  • 118 g.
  • 2-4 uger.
  • 24. december 2024
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Forlænget returret til d. 31. januar 2025

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Beskrivelse af Linear Probability, Logit, and Probit Models

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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