
Edward Norton
@healtheconnort1
Health economist and Professor at the University of Michigan.
ID: 1047165358199726080
02-10-2018 16:44:11
603 Tweet
1,1K Followers
322 Following

What drives Edward Norton to study the #economics of #healthcare, and to partner with hospitals via MVC to quantify the $$$ effects of care improvements? Read more from Michigan Public Health, which just gave him its top research award: sph.umich.edu/stories/2019po…



"Requiem for Odds Ratios" in @hsr_hret by Edward Norton, Bryan Dowd, @GarridoMelissa, and Matt Maciejewski.

Price reductions from Oregon’s hospital payment caps are associated with reduced enrollee out-of-pocket spending at the point of care and generated savings for the targeted population. ja.ma/3AKnAf6 Roslyn C Murray, PhD Edward Norton Andrew Ryan


When to apply robust standard errors vs vce cluster? Great discussion at CHOP Data and Donuts 📊 🍩 🙏 Dr. Edward Norton !


Partha Deb, Jeff Wooldridge Jeffrey Wooldridge , Jeff Zabel, and I are pleased that our new difference-in-differences paper is available as an NBER working paper.


We prove that FLEX treatment effect parameter estimates are asymptotically unbiased estimates of the group-time heterogeneous treatment effects that can be obtained in the repeated cross-section setting by an imputation method. Jeffrey Wooldridge

Furthermore, our FLEX estimates are identical to those from the Borusyak et al. (2024) imputation estimator extended to the case that allows for treatment-effect heterogeneity by group and time (not simply cohort and time). Jeffrey Wooldridge


Here is the link to the Dropbox where you can download the Stata code and data sets. dropbox.com/scl/fi/upitird… Jeffrey Wooldridge

Nick Hagerty Edward Norton No, we're not restricting individual-level heterogeneity. We're making a conditional parallel trends assumption analogous to previous work -- Callaway-Sant'Anna, Borusyak et al., and so on. We actually allow selection based on group, not cohort, which is a bit more general.

Nick Hagerty Edward Norton Our assumptions are stated in terms of a population. If you put an i subscript on everything, TE_it(g) = Y_it(g) - Y_it(inf) are allowed to depend arbtrarily on i. The "lags only" regression is the repeated CS version of the regression I suggested for the panel case.


He gave the coup de grace to odds ratios and now he's FLEXing on the diff in diff lit. Edward Norton feeling buff in 2024

We’re always trying to push new methods that are more efficient and robust. Today, @UMichCHOPFellow we took a deep dive on, “Entropy Balancing” with Edward Norton !


