Regression Models for Categorical Dependent Variables Using

Regression Models for Categorical Dependent Variables Using Stata, Second Edition
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Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. Regression Models for Categorical Dependent Variables Using Stata, Second Edition, fills this void, showing how to fit and interpret regression models for categorical data with Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book.

The book begins with an excellent introduction to Stata and then provides a general treatment of estimation, testing, fit, and interpretation in this class of models. It covers in detail binary, ordinal, nominal, and count outcomes in separate chapters. The final chapter discusses how to fit and interpret models with special characteristics, such as ordinal and nominal independent variables, interaction, and nonlinear terms. One appendix discusses the syntax of the author-written commands, and a second gives details of the datasets used by the authors in the book.

Nearly 50% longer than the previous edition, the book covers new topics for fitting and interpreting models included in Stata 9, such as multinomial probit models, the stereotype logistic model, and zero-truncated count models. Many of the interpretation techniques have been updated to include interval as well as point estimates.

New to the Second Edition:
Regression models, including the zero-truncated Poisson and the zero-truncated negative binomial models, the hurdle model for counts, the stereotype logistic regression model, the rank-ordered logit model, and the multinomial probit model
Stata commands, such as estat, which provides a uniform way to access statistics useful for postestimation interpretation.
Expanded suite of programs known as SPost
Inclusion of confidence intervals for predictions computed by prvalue and prgen

Because all the examples, datasets, and author-written commands are available from the authors' Web site, readers can easily replicate the concrete examples using Stata, making it ideal for students or applied researchers who want to know how to fit and interpret models for categorical data.
Country USA
Brand Brand: Stata Press
Manufacturer Stata Press
Binding Paperback
UnitCount 1
EANs 9781597180115
ReleaseDate 0000-00-00

Regression Models for Categorical Dependent Variables Using Stata, Second Edition

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Country	USA
Brand	Brand: Stata Press
Manufacturer	Stata Press
Binding	Paperback
UnitCount	1
EANs	9781597180115
ReleaseDate	0000-00-00