The wait is over – Stata 19 is officially here!
This major update brings a range of powerful new features that will enhance your work – whether you’re doing cutting-edge research, policy analysis or advanced data modelling.
We’re excited to introduce you to the new features. Here’s a quick look at what’s new:
- Machine learning via H2O: Ensemble decision trees
- Conditional average treatment effects (CATE)
- High-dimensional fixed effects (HDFE)
- Bayesian variable selection for linear regression
- Marginal Cox PH model for interval-censored multiple-event data
- Meta-analysis for correlations
- Correlated random-effects (CRE) model
- Panel-data vector autoregressive (VAR) model
- Bayesian bootstrap and replicate weights
- Control-function linear and probit models
- Bayesian quantile regression via asymmetric Laplace likelihood
- Inference robust to weak instruments
- SVAR models via instrumental variables
- Instrumental-variables local-projection IRFs
- Mundlak specification test
- Latent class model-comparison statistics
- Do-file Editor: Autocompletion, templates, and more
- Graphics: Bar graph CIs, heat maps, and more
- Tables: Easier tabulations, exporting, and more
This is just the beginning. Stata 19 also brings:
- Modify saved sets of frames
- Asymmetric Laplace likelihood for Bayesian models
- Alternative at-risk table for survival graphs
- PyStata enhancements
- Robust SEs for VAR models
- Half-Cauchy and Rayleigh priors for Bayesian analysis
- Bayesian predictions in user-defined evaluators
And much more…
Whether you’re an economist, data scientist, social researcher or analyst, Stata 19 will help you work smarter, dig deeper and deliver faster. Explore all the new features now.
