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Webinar: Stata 17—See the new features in action


Duration: 1 hour
Where: Join us from anywhere!
Cost: Free—but registrations are limited


We've added many new features in Stata 17:

  • Customizable tables
  • Bayesian econometrics
  • PyStata—Python and Stata
  • Jupyter Notebook with Stata
  • Difference-in-differences (DID) models
  • Faster Stata
  • Interval-censored Cox models
  • Multivariate meta-analysis
  • Bayesian VAR models
  • Bayesian multilevel modeling
  • Treatment-effects lasso estimation
  • New functions for dates and times
  • Leave-one-out meta-analysis
  • Galbraith plots
  • Panel-data multinomial logit models
  • Bayesian panel-data models
  • Zero-inflated ordered logit models
  • Nonparametric tests for trend
  • Bayesian IRF and FEVD analysis
  • Bayesian dynamic forecasting
  • Lasso with clustered data
  • BIC for lasso penalty selection
  • Bayesian linear and nonlinear DSGE models
  • Do-file Editor enhancements
  • Stata on Apple Silicon
  • Intel Math Kernel Library (MKL)
  • Java integration
  • H2O integration
  • JDBC

Join this webinar to learn about the new features and see how they work.

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

We will send you an email prior to the start with instructions on how to access the webinar.

Presenter: Meghan Cain

Meghan Cain portrait

Meghan Cain is a Senior Statistician at StataCorp. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she develops and presents trainings on these and other topics. She also conducts webinars, works with developers to produce Stata documentation, and contributes to Stata blogs.


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