Regression models for categorical dependent variables using Stata

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After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias.

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Title Statements

Full title :Regression models for categorical dependent variables using Stata / J. Scott Long, Jeremy Freese

Summary

Edition Statements

Publication Date:2014
Edition:3rd ed

Publication Statements

Publisher(s):Stata Press Publication
Place of Publication:Texas
Language:eng
Publication Date:2014

Notes

Índices

The Physical Object

Description:XXIII, 589 p. : il. : 24 cm

Edition Identifiers

ISBN:9781597181112, 1597181110
oclc:ocn905526371
LC Classification:QA278.2
Dewey Decimal:519.536

I. General information. Introduction -- Introduction to Stata -- Estimation, testing, and fit -- Methods of interpretation -- II. Models for specific kinds of outcomes. Models for binary outcomes : estimation, testing, and fit -- Models for binary outcomes : interpretation -- Models for ordinal outcomes -- Models for nominal outcomes -- Models for count outcomes

Subjects

Análisis de datos ANALISIS DE REGRESION Análisis de regresión -- Modelos matemá… Ciencias sociales -- Métodos estadístic… Ciencias sociales -- Modelos matemáticos Estadística matemàtica Mathematical statistics regression analysis Stata Stata (Computer programs) STATA (Programa de ordenador) STATA (Programa para computador) Statistics