9780803921337: Linear Probability, Logit, and Probit Models
Couverture souple
ISBN 10 : 0803921330 ISBN 13 : 9780803921337
Editeur : SAGE Publications, Inc, 1985

Synopsis

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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À propos des auteurs

John H. Aldrich is Pfizer-Pratt University Professor of Political Science at Duke University. He is author of Why Parties: A Second Look (2011), coeditor of Positive Changes in Political Science (2007), and author of Why Parties (1995) and Before the Convention (1980). He is a past president of both the Southern Political Science Association and the Midwest Political Science Association and is serving as president of the American Political Science Association. In 2001 he was elected a fellow in the American Academy of Arts and Sciences.



Expertise * Prediction Markets * Qualitative and Limited Dependent Variable

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
SAGE Publications, Inc
Date d'édition
1985
Langue
anglais
ISBN 10 
0803921330
ISBN 13 
9780803921337
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
Personne responsable
non disponible