Volume 45. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Book contains highlighter markings. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,200grams, ISBN:0803921330.

Bestandsnummer des Verk�ufers 9248026

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Bibliografische Details

Titel

Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences, No. 45) (Volume 45)

Verlag

Sage Publications, Inc

Erscheinungsjahr

1984

Sprache

Englisch

ISBN-10

0803921330

ISBN-13

9780803921337

Einband

Softcover

Zustand

Poor

Gewicht

200 Gramm

Verk�uferkataloge

Social Sciences

�ber diesen Titel

Inhaltsangabe

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.

�ber die Autorinnen und Autoren

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

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