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New in Stata 16: Choice models
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In Stata 16, we introduced the *cm* suite of commands for choice modeling.
This video demonstrates how to fit a mixed logit choice model for panel data and how to use *margins* to interpret the results.
This video demonstrates how to fit a mixed logit choice model for panel data and how to use *margins* to interpret the results.
New in Stata 16: Choice models
New in Stata 16: Meta-analysis in Stata
New in Stata 16: Enhancements to the Do-file Editor
New in Stata 16: Lasso for inference
What's it like–Getting started in Stata 16
The commands that work in Stata 16 and not in Stata 17
PDF documentation in Stata 16
New in Stata 16: Extended regression models for panel data
Realität - Teil 16 - Wunder oder Zufall?
Example datasets included with Stata 16
New in Stata 16: Lasso for prediction and model selection
New in Stata 17: Difference in differences
Tour of the Stata 16 interface
New in Stata 16: IRT models for multiple groups
New in Stata 16: Random-effects regression with endogenous sample selection
New in Stata 16: Create reproducible reports in Word, PDF, and HTML
New in Stata 16: Bayesian predictions
New in Stata 15: Mixed logit models in Stata
New in Stata 16: Nonlinear DSGE models
New in Stata 16: Import data from SPSS and SAS
Introductory Stata 16: Operation within Groups (bysort, _n, _N)
New in Stata 16: Heteroskedastic ordered probit models
New in Stata 18: Alias variables across frames
New in Stata 17: Bayesian panel-data models
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