What is Stata
Stata is a powerful statistical software that enables users to analyze, manage, and produce graphical visualizations of data. It is primarily used by researchers in the fields of economics, biomedicine, and political science to examine data patterns. It has both a command-line and graphical user interface making the use of the software more intuitive.
Why Use Stata
♦ Fast, Accurate, and Easy to use.
♦ Analysis can be performed using drop-down menus or syntax, accommodating both beginners and advanced users.
♦ Cutting-edge statistical methods.
♦ Excellent built-in support for structural equation modeling.
♦ Models can be specified via syntax or with a path diagram.
♦ Large, active online community; repositories of user-contributed packages.
♦ New in version 16: Support for markdown.
Stata Functions and Features
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Customizable tables
Stata is now ready to help you create both standard and customized tables, whether you want a table for the web or a table for your paper in Word® or that same table for your LaTeX paper.
You can create a lot of different tables directly from the reimagined table command—from simple cross-tabulations all the way to comparative regression tables.
Export tables to: Word®, Excel®, HTML, LaTeX, PDF and more
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Bayesian econometrics
Bayesian econometrics uses Bayesian principles to study economic relationships. One of the appeals for using Bayesian methods in econometric modeling is to incorporate the external information about model parameters often available in practice. This information may come from historical data, or it may come naturally from the knowledge of an economic process.You can find Bayesian VAR models and Bayesian linear and nonlinear DSGE models among the new Bayesian econometrics features of Stata 17, and much more. -
PyStata—Python and Stata
PyStata allows you to invoke Stata directly from any standalone Python environment and to call Python directly from Stata, thus, greatly expanding Stata’s Python integration features. New features in PyStata include
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- – ability to use Stata from an IPython kernel-based environment like Jupyter Notebook, Spyder IDE, or PyCharm IDE;
- – ability to use Stata from Python Shell, like the Windows Command Prompt, the macOS terminal, or the Unix terminal;
- – three IPython magic commands: stata, mata, and pystata; and
- – a suite of API functions from within Python to run Stata commands and access Stata data and returned results.
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Jupyter Notebook with Stata
Jupyter Notebook is a powerful and easy-to-use web application that allows you to combine executable code, visualizations, mathematical equations and formulas, narrative text, and other rich media in a single document (a “notebook”) for interactive computing and developing. Jupyter notebooks have been widely used by researchers and scientists to share their ideas and results for collaboration and innovation.
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.
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