is not a luxury update—it is a strategic investment in your analytical productivity. The combination of robust causal inference , cutting-edge Bayesian methods , and seamless Python integration means you can tackle research questions that were previously impractical or impossible.

Stata 18 still loads the entire dataset into RAM, so it’s not a distributed big data platform (like Spark), but for single-machine work with up to 100 million observations, the performance is impressive.

StataNow remains StataCorp’s "rolling release" channel. is the stable baseline; StataNow users already had some features like putpptx . However, Stata 18 makes them official and fully supported.

Automatically builds publishable tables of descriptive statistics for research manuscripts. Comprehensive Feature Comparison

Stata 18 was released in April 2023.

If you are a who only runs regress , logit , and ttest on small datasets, Stata 17 will remain perfectly adequate. However, the Python bridge and interactive graphs might surprise you with their utility.

With python blocks in your Do-file, you can call pandas , scikit-learn , tensorflow , or any Python package directly. Stata datasets are automatically converted to pandas DataFrames and vice versa.

The reporting commands putdocx, putpdf, and putexcel were enhanced to allow easier insertion of statistical tables, estimation results, and graphics directly into Word, PDF, and Excel reports. This supports a “one-click” workflow for generating manuscript drafts.

Stata/MP remains the fastest option, especially for mi impute , bootstrap , and xtmixed . All licenses include free updates for the Stata 18.x cycle.