The wait is over – Stata 19 is officially here!
This major update brings a host of powerful new features that will enhance your work – whether you’re conducting cutting-edge research, policy analysis, or advanced data modeling.
We are excited to introduce the new functionalities. 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 are an economist, data scientist, social researcher, or analyst – Stata 19 helps you work smarter, dig deeper, and deliver faster. Explore all new features now.
If you have any questions, please feel free to contact us: Info@dpc-software.de