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Many researchers and journals place a strong emphasis on the sign and statistical significance of effects—but often there is very little emphasis on the substantive and practical significance of the findings. As Long and Freese (2006, Regression Models for Categorical Dependent Variables Using...
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This article reviews Regression Models for Categorical Dependent Variables Using Stata, Second Edition, by Long and Freese.
Persistent link: https://www.econbiz.de/10004964306
This article describes the gologit2 program for generalized ordered logit models. gologit2 is inspired by Vincent Fu’s gologit routine (Stata Technical Bulletin Reprints 8: 160–164) and is backward compatible with it but offers several additional powerful options. A major strength of...
Persistent link: https://www.econbiz.de/10005748366
When a binary or ordinal regression model incorrectly assumes that er- ror variances are the same for all cases, the standard errors are wrong and (unlike ordinary least squares regression) the parameter estimates are biased. Hetero- geneous choice models (also known as location–scale models...
Persistent link: https://www.econbiz.de/10008784394
The new book by Hamilton (2004) is reviewed.
Persistent link: https://www.econbiz.de/10005568828
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