Regression Models for Categorical and Limited Dependent Variables (BOK)

Regression Models for Categorical and Limited Dependent Variables (BOK)

J. Scott Long

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A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. In addition, the author explains how models relate to linear regression models whenever possible. After a review of the linear regression model and an introduction to maximum likelihood estimation, the book then: covers the logit and probit models for binary outcomes; reviews standard statistical tests associated with maximum likelihood estimation; and considers a variety of measures for assessing the fit of a model. J Scott Long also: extends the binary logit and probit models to ordered outcomes; presents the multinomial and conditioned logit models for nominal outcomes; considers models with censored and truncated dependent variables with a focus on the tobit model; describes models for sample selection bias; presents models for count outcomes by beginning with the Poisson regression model; and compares the models from earlier chapters, discussing the links between these models and others not discussed in the book.

Produktfakta

Språk Engelsk Engelsk Innbinding Innbundet
Utgitt 1997 Forfatter J. Scott Long
Forlag
Sage Publications Ltd
ISBN 9780803973749
Antall sider 328 Dimensjoner 15,2cm x 22,9cm x 2,6cm
Vekt 671 gram Leverandør Bertram Trading Ltd
Emner og form Social research & statistics, Probability & statistics