Stata - 18

Better estimation of treatment effects using Lasso when you have many potential confounding variables.

Advancements include inference robust to weak instruments and structural vector autoregressive models (SVAR) via IV.

In survival analysis, it is often unknown exactly when an event occurred, only that it happened between two time points (interval censoring). The new, specialized Cox models in Stata 18 improve survival analysis accuracy for such data. 4. Advanced Bayesian Analysis

More importantly, dramatically improves frlink and frget for linking frames without merging. Imagine you have a master frame of firms and a separate frame of quarterly financials. You can now link them on the fly without creating large merged datasets.

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.

In this article, we will dissect every major feature of , compare it to its predecessor (Stata 17), and explain why upgrading is a smart strategic move for your research workflow.

and get robust standard errors, event-study plots, and pre-trends testing without manual coding.

frame create quarterly frame quarterly: use quarterly_financials frame change master frlink m:1 firm_id quarter, frame(quarterly) frget profit, from(quarterly)