We are pleased to announce the release of Stata 17!
Stata 17 is now available! And it has many exciting features—there are 29 highlights! A few details are shared about some of them below, read about all the new features here.
Sales and upgrades
Our website contains all of the information you need to order and upgrade to Stata 17. Our website also enables you to request quotations and securely purchase Stata online. After purchasing Stata, our team will email you with your licence key(s) and a link to download the the relevant software package(s).
New features
Tables — Users have been asking us for better tables. Here they are. You can easily create tables that compare regression results or summary statistics, you can create styles and apply them to any table you build, and you can export your tables to MS Word®, PDF, HTML, LaTeX, MS Excel®, or Markdown and include them in reports. The table command is revamped. The new collect prefix collects as many results from as many commands as you want, builds tables, exports them to many formats, and more. You can also point-and-click to create tables using the new Tables Builder.
Bayesian econometrics — Stata does econometrics. And Stata does Bayesian statistics. Stata 17 now does Bayesian econometrics. Want to use probabilistic statements to answer economic questions, for example, Are those who participate in a job-training program more likely to stay employed for the next five years? Want to incorporate prior knowledge of an economic process? Stata’s new Bayesian econometrics features can help. Fit many Bayesian models such as cross-sectional, panel-data, multilevel, and time-series models. Compare models using Bayes factors. Obtain predictions and forecasts. And more!
PyStata and Jupyter Notebook with Stata — What’s PyStata? It is all the ways Stata and Python can interact. You could already call Python code from Stata. Now you can call Stata (and Mata) from Python via a new pystata Python package. The new package can be used together with the existing Stata Function Interface (SFI) module, making it even easier to interact between Stata and Python. PyStata also provides you with access to Stata from within a Jupyter notebook.
Faster Stata — Stata values accuracy and it values speed. There is often a tradeoff between the two, but Stata strives to give users the best of both worlds. In Stata 17, we updated the algorithms behind sort and collapse to make these commands faster. We also attained speed improvements for some estimation commands such as mixed, which fits multilevel mixed-effects models.
And there is more, much more. You can read about all the new features on our website.
