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Stata 17

Stata is the complete package for data analysis, data management and graphics

Stata is a complete and powerful statistical package intended for researchers in all disciplines. You get everything you need in one comprehensive package. Thanks to the easy-to-use environment, which is built around the concept of point-and-click, intuitive command language and online help, you will quickly be able to start using this advanced tool. All analysis and results can then be reproduced and documented for your publications.

You have hundreds of statistical tools and methods available. These include everything from basic to advanced statistical methods and analysis. It also contains a wide range of commands for handling data files and large data sets. You will also find many useful methods to produce graphs and statistical charts of high quality, which you can directly use in your publications and articles.

Available for Windows, Mac and Unix/Linux.

Info

News

New features in Stata 17

Stata 17 was announced April 20, 2021!

Click here for an overview of all the new features in version 17:

Some highlights of the new features in Stata 17

Please note that the IC edition has been renamed to BE (Basic Edition) in version 17.

Customizable tables

Create both standard and customized tables, whether you want a table for the web, a table for your paper in Word®, or that table for your LaTeX paper.

Bayesian econometrics

You can do econometrics and Bayesian statistics, and combines both to do Bayesian econometrics.

PyStata – Python and Stata

PyStata allows you to invoke directly from any standalone Python environment and to call Python directly from Stata, thus, greatly expanding it’s Python integration features.

Jupyter Notebook

Now, you can invoke Stata and Mata from Jupyter Notebooks with the IPython (interactive Python) kernel, meaning you can combine the capabilities of both Python and Stata in a single environment to make your work easily reproducible and shareable with others.

Making Stata faster

Stata values accuracy and speed. There is often a tradeoff between the two, but Stata strives to give users the best of both worlds. We are continuously optimizing and improving our routines to utilize modern computing power and algorithms so that Stata runs even faster.

Bayesian multilevel modelling

Many disciplines use multilevel models to model group-specific effects, which may arise at different levels of hierarchy. Think of regions, states nested within regions, and companies nested within states within regions. Or think hospitals, doctors nested within hospitals, and patients nested within doctors nested within hospitals.

And lots of more new features…

Click here for an overview of all the new features in version 17:

System requirements

System requirements

  • Windows 10, 8, Windows Server 2019, 2016 and 2012 (64-bit only!)
  • macOS 11.0 (Big Sur) or newer for Mac med Apple Silicon.
    macOS 10.12 (Sierra) or newer for Mac med 64-bit Intel processors
  • Any 64-bit (Core i3 equivalent or better) running Linux
  • RAM: 4 GB (MP) and 2 GB (SE og BE)
  • Harddisk: 2 GB

Licensing

License Options

Four Editions of Stata

  • BE
    Basic Edition. Max 2047 variables and 2.14 billion observations.
  • SE
    Standard Edition. For large datasets. Max 32 767 variables and 2.14 billion observations.
  • MP
    Multi-Processor Edition. A faster version designed to utilize today’s computers with multicore processors and parallel processing power. Delivered by the number of cores needed, such as MP2, MP4, MP8, etc. Max 20 billion observations, limited by hardware memory.

Licensing options

  • Single-user
  • Network
  • Floating Network licenses
  • Volume licensing

All license options are subscription based.

Contact us today for a quote!

Support

Support

Alfasoft provides free technical support to all our customers.

Please describe your problem as detailed as possible when contacting our support. Remember to always inform about your serial-/license number, product version and your operating system.

We also recommend these online support pages and resources: