Stata 18 |link|

For time-series analysts and macroeconomists, Stata 18 improves VAR modeling.

Calculate and embed p-values or parametric/non-parametric tests directly across columns.

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. Stata 18

The software now features modern, high-contrast, and color-blind-friendly palettes.

The inclusion of fills a critical gap in biostatistics, while etffects and hetdid align Stata with the latest rigorous standards in econometrics regarding causal inference. Furthermore, the overhaul of the tables system solves one of the most persistent workflow frustrations for researchers, making Stata 18 a highly recommended upgrade for anyone focused on efficient, reproducible, and methodologically sound data analysis. is the stable baseline; StataNow users already had

Government agencies and survey researchers will appreciate 's new suite for small-area estimation (SAE). The sae command combines survey data with auxiliary information (e.g., census) to produce reliable estimates for subpopulations with small sample sizes.

This article was last updated with features available as of the Stata 18 release date. For the most current information, refer to StataCorp’s official release notes. The inclusion of fills a critical gap in

* Data must be tsset tsset id year

To help you get the most out of your setup, let's look at what features interest you most. If you'd like, let me know:

python: from sfi import Data import pandas as pd df = pd.DataFrame('y': Data.get('y'), 'x': Data.get('x')) # Do scikit-learn, etc. Data.store('pred', predictions, None) end