| License Type | New License (USD) | Upgrade from 17 (USD) | | :--- | :--- | :--- | | Stata/BE (Basic Edition) | $298 | $195 | | Stata/SE (Standard Edition) | $1,195 | $695 | | Stata/MP (Multi-processor) – 2 cores | $2,495 | $1,295 | | Stata/MP – 4 cores | $3,195 | $1,595 |
: 4.7/5 Highly recommended for professional researchers. Misses a perfect score only due to pricing and lack of native cloud support. Have you used Stata 18? Share your experience in the comments below. For more articles, tutorials, and cheat sheets on Stata, subscribe to our newsletter. Stata 18
For , do not purchase Stata 17. Stata 18 is the more future-proof, feature-rich, and well-optimized version. StataCorp has clearly listened to its user community—especially regarding Python and modern DiD estimators. | License Type | New License (USD) |
Stata/MP remains the fastest option, especially for mi impute , bootstrap , and xtmixed . All licenses include free updates for the Stata 18.x cycle. Share your experience in the comments below
Example use case:
Published: May 2025
: Stata 18 was released on April 25, 2025 (hypothetical for this article’s timeline; adjust to real date). It runs on Windows 10/11, macOS (including Apple Silicon natively via Rosetta 2, with an ARM-native beta available), and major Linux distributions. 12. How Stata 18 Compares to Competitors | Feature | Stata 18 | R (tidyverse) | SPSS 29 | Python (pandas/statsmodels) | | :--- | :--- | :--- | :--- | :--- | | Causal inference (DiD, IV) | Excellent, built-in | Excellent (library-dependent) | Poor | Fair | | Panel data | Gold standard | Good ( plm ) | Limited | Decent ( linearmodels ) | | Reproducible reports | Good ( dyndoc ) | Excellent (RMarkdown/Quarto) | Fair | Excellent (Jupyter) | | Learning curve | Moderate | Steep | Shallow | Steep | | Python integration | Native bidirectional | Via reticulate | No | N/A | | Support | Paid phone/email | Community | Paid | Community |