Headline: What’s on your wishlist? 🤔

We just got an exclusive look at Stata 18, and it seems to have answered the community's prayers—specifically regarding Causal Inference and better table exporting.

👀 Question for the Stata community: Which new feature in Stata 18 are you most excited to try first?

A) Causal Inference for Observational Data B) Bayesian VARs C) The new tables command D) Improved Python Integration

Let us know in the comments!

#Stata18 #Poll #DataScience #Statistics

Bayesian methods are everywhere, but Stata 18 exclusive delivers native Bayesian Model Averaging (BMA) for linear and logistic regression. Here is why this is a game-changer:

In traditional model selection, you pick one "best" model and ignore uncertainty about which variables should be included. BMA solves this by averaging over thousands of potential models. While R has the BMS package, Stata 18’s implementation is exclusive because:

Example exclusive syntax:

bma y x1 x2 x3 x4, bma(iterations(10000)) pip

This command alone replaces dozens of lines of coding in other environments.

Exclusive because: Stata 18 added collect tagset for HTML/CSS styling and collect export to PowerPoint.