Hi #EconTwitter, I feel sure there is a more efficient way to take lincom estimates in Stata (stored in r()), store each statistic as a scaler, and then manually describe the output for esttab, but I haven't figured it out yet. Any help is most welcome!
Medicare just released draft details describing how historic drug negotiations will go.
What happens if a drugmaker and Medicare can't agree on a proposed price?
Up to three potentially very dramatic Zoom meetings!
https://t.co/DZuGnrwmG4
Is 2023 the year you or someone you love finally decides to learn R? If learning R is one of your New Years Resolutions, you should consider checking out/RT-ing my Introduction to R Programming course https://t.co/0btAGQZqCR NO PROGRAMMING EXPERIENCE REQUIRED!
At which level should one cluster standard errors? What's good empirical practice? Have you ever heard about placebo regressions in this context? Here is a very useful guide that was recently published in the JoE https://t.co/jB3jMdBDZR. 🧵 with a short summary. #EconTwitter 1/9
Synthetic difference-in-differences, in Stata! Check out our article describing the package. Makes nice graphs illustrating time trends and unit weights. Comments welcome! https://t.co/itOs5Jl9on
*Package Launch*
One of my favorite trends in empirical IO is the increasing availability of portable code to estimate structural models – see PyBLP @conlon_chris@jeff_gortmaker, several packages by @jamesbrandecon. This is key to make IO tools accessible (also outside IO) [1/5]
As cost sharing continues to rise in commercial markets, a surprising share (~50%) goes unpaid at hospitals. This often results in medical debt for consumers, but affects providers in important ways.
w/ @borisvabson in @Health_Affairs
https://t.co/bbX6TFiVxE