3:00
Overview of what's new in Stata 19
StataCorp LLC
4:03
Tour of the Stata 19 interface
3:40
New in Stata 19: Machine learning via H2O: Ensemble decision trees
1:06
PDF documentation in Stata 19
2:31
New in Stata 19: Panel-data vector autoregressive model
0:48
New in Stata 19: Enhancements to customizable tables
2:22
New in Stata 19: Correlated random-effects model and Mundlak specification test
0:42
New in Stata 19: Enhancements to graphics
1:03
New in Stata 19: Enhancements to the Do-file Editor
0:52
New in Stata 19: Bayesian variable selection for linear regression
3:10
New in Stata 19: Conditional average treatment effects
2:36
New in Stata 19: Control-function linear and probit models
2:06
New in Stata 19: Structural VAR models via instrumental variables
1:16
New in Stata 19: High-dimensional fixed-effects models
0:54
New in Stata 19: Meta-analysis for correlations
0:45
New in Stata 19: Latent class model-comparison statistics
1:37
Example datasets included with Stata 19
New in Stata 19: Instrumental-variables local-projection IRFs
1:04
New in Stata 19: Bayesian quantile regression with asymmetric Laplace distribution
1:09
New in Stata 19: Marginal Cox model for interval-censored multiple-event data
2:16
New in Stata 19: Inference robust to weak instruments
New in Stata 19: Bayesian bootstrap
