In keeping with our tradition of making announcements about new Stata versions to Statalist first, we wanted to share with you the newest features that are now available in the latest (13 August 2025) updates to StataNow 19 and Stata 19. With new interface improvements and statistical features, there is something for everyone.
In StataNow 19, there are the following new features:
In the Do-file Editor, a change history ribbon has been added to indicate line modifications using colored markers. Lines modified since the document was first opened are marked with an orange indicator. If a line is changed, saved, and then reverted to its original state from when the document was opened (which may differ from what is saved to disk), it is marked with a blue indicator. Marker colors can be customized through the Do-file Editor's color preferences. Additional details are provided in the Do-file Editor chapter of the Getting Started manuals.
The Data Editor now offers more control over the truncation of variable names that do not fit in a variable column. By default, variable names are truncated at the end, which can make distinguishing similar long variable names difficult. Users can now choose to truncate names at the end, in the middle, or between one to four characters before the end.
The new lateffects command estimates a local average treatment effect (LATE), also known as a complier average treatment effect. This provides a meaningful causal effect when individuals do not comply with their assigned treatment. A LATE can be estimated for a continuous, binary, count, or fractional outcome. You can choose from three estimators: normalized kappa weighted, normalized covariate-balancing propensity score, or inverse-probability-weighted regression adjustment. Postestimation tools are available for balancing diagnostics, testing overidentification, and evaluating the overlap assumption.
Commands for commonly used linear models now offer more features for robust inference. You can now estimate Driscoll–Kraay standard errors when fitting a model with xtreg, fe. Enhanced bias correction, including HC3 standard errors with clustering and the inference adjustment of Hansen, is now available with regress, areg, xtreg, didregress, and xtdidregress. And you can estimate multiway cluster–robust standard errors with ivregress.
In both StataNow 19 and Stata 19, the latest update provides new tools for copying value labels across frames. label copy now supports options fromframe() and toframe() for copying value labels from one frame to another. The new frame putlabel command copies value labels from the current frame to one or more other frames. You also now have control over the wrapping of notes below tables. The new collect style smcl and collect style txt commands specify whether notes should wrap at the table width. In addition, specialized commands for creating tables—table, dtable, etable, and lcstats—have a new option for specifying whether notes under the table should wrap.
You can see all the new features at https://stata.com/new-in-stata/features. If you missed the May update to StataNow, you will notice here that we also added power analysis for logistic regression.
To try out these version-specific new features, type update all in the Command window in StataNow 19 and in Stata 19.
We'll keep you updated as we add more features. Stay tuned!
Chinh Nguyen, Vice President, Software Design
Yulia Marchenko, Vice President, Statistics and Data Science
In StataNow 19, there are the following new features:
In the Do-file Editor, a change history ribbon has been added to indicate line modifications using colored markers. Lines modified since the document was first opened are marked with an orange indicator. If a line is changed, saved, and then reverted to its original state from when the document was opened (which may differ from what is saved to disk), it is marked with a blue indicator. Marker colors can be customized through the Do-file Editor's color preferences. Additional details are provided in the Do-file Editor chapter of the Getting Started manuals.
The Data Editor now offers more control over the truncation of variable names that do not fit in a variable column. By default, variable names are truncated at the end, which can make distinguishing similar long variable names difficult. Users can now choose to truncate names at the end, in the middle, or between one to four characters before the end.
The new lateffects command estimates a local average treatment effect (LATE), also known as a complier average treatment effect. This provides a meaningful causal effect when individuals do not comply with their assigned treatment. A LATE can be estimated for a continuous, binary, count, or fractional outcome. You can choose from three estimators: normalized kappa weighted, normalized covariate-balancing propensity score, or inverse-probability-weighted regression adjustment. Postestimation tools are available for balancing diagnostics, testing overidentification, and evaluating the overlap assumption.
Commands for commonly used linear models now offer more features for robust inference. You can now estimate Driscoll–Kraay standard errors when fitting a model with xtreg, fe. Enhanced bias correction, including HC3 standard errors with clustering and the inference adjustment of Hansen, is now available with regress, areg, xtreg, didregress, and xtdidregress. And you can estimate multiway cluster–robust standard errors with ivregress.
In both StataNow 19 and Stata 19, the latest update provides new tools for copying value labels across frames. label copy now supports options fromframe() and toframe() for copying value labels from one frame to another. The new frame putlabel command copies value labels from the current frame to one or more other frames. You also now have control over the wrapping of notes below tables. The new collect style smcl and collect style txt commands specify whether notes should wrap at the table width. In addition, specialized commands for creating tables—table, dtable, etable, and lcstats—have a new option for specifying whether notes under the table should wrap.
You can see all the new features at https://stata.com/new-in-stata/features. If you missed the May update to StataNow, you will notice here that we also added power analysis for logistic regression.
To try out these version-specific new features, type update all in the Command window in StataNow 19 and in Stata 19.
We'll keep you updated as we add more features. Stay tuned!
Chinh Nguyen, Vice President, Software Design
Yulia Marchenko, Vice President, Statistics and Data Science
