Stata

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Powerful statistical software for data science. Analyze, visualize, & automate with Stata.

One market factor. Is it enough to explain asset returns? Put CAPM to the test with real financial data using 𝗳𝗶𝗻𝗿𝗲𝗴𝗿𝗲𝘀𝘀 𝗰𝗮𝗽𝗺 in StataNow, then see what changes when additional risk factors enter the model. Read the latest Stata News → www.stata.com/stata-news/n...

StataNow spotlight: The facts and the factors of CAPM

It’s not very often we run into a serious econometric model that has just one dependent variable and just one independent variable. But the vanilla version of the capital asset pricing model (CAPM)…

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New from Stata Press: Data Analysis Using Stata, Fourth Edition, updated for Stata 19 with Python integration, machine learning, AI tools, reproducible reporting, and more. Learn Stata. Build better data-analysis habits. Explore modern workflows. www.stata.com/bookstore/da...

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Observed correlations can be distorted by measurement error, range restriction, and other statistical artifacts. Learn how 𝗺𝗲𝘁𝗮 𝗽𝘀𝘆𝗰𝗼𝗿𝗿 in StataNow helps you correct for them in your meta-analysis. Last call to register → www.stata.com/training/web...

Psychometric meta-analysis in Stata

This webinar will introduce the underlying theory and demonstrate a practical Stata workflow, from data preparation to creating corrected forest plots and exploring heterogeneity using Stata’s…

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DID when treatment doesn’t stay treated. 𝘅𝘁𝘀𝘄𝗶𝘁𝗰𝗵𝗱𝗶𝗱 in StataNow handles multivalued and switching treatments, so you can estimate event-study effects as groups move between treatment levels or exit treatment altogether. See how it works → www.stata.com/statanow/DID...

DID with switching treatments for panel data

If you have a multivalued treatment or groups that switch in and out of treatment, traditional difference-in-differences (DID) estimators are of little use. The new xtswitchdid command handles both…

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Machine learning and AI, using Stata. Today, Chuck Huber joined researchers at Karolinska Institutet to explore how these tools can be used in Stata. Thanks to everyone who joined us!

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Go beyond the observed correlation. Learn how 𝗺𝗲𝘁𝗮 𝗽𝘀𝘆𝗰𝗼𝗿𝗿 in StataNow corrects for measurement error, range restriction, artificial dichotomization, and small-study bias, then carry those corrections through your meta-analysis workflow. Register → www.stata.com/training/web...

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Start with the Stata skills you’ll use throughout your coursework and research. Our free "Introduction to Stata for students" webinar covers the essentials, from working with data to creating graphs and performing statistical analysis. Register → www.stata.com/training/web...

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More flexibility for models with endogenous variables. With 𝗰𝗳𝗿𝗲𝗴𝗿𝗲𝘀𝘀 and 𝗰𝗳𝗽𝗿𝗼𝗯𝗶𝘁, use control functions with continuous, binary, fractional, and count endogenous variables, including flexible interactions. www.stata.com/new-in-stata...

Control-function linear and probit models

With the new -cfregress- and -cfprobit- commands, you can fit control-function linear and probit models, which provide a flexible alternative to traditional instrumental-variables (IV) methods for…

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