Edward Norton (@healtheconnort1) 's Twitter Profile
Edward Norton

@healtheconnort1

Health economist and Professor at the University of Michigan.

ID: 1047165358199726080

calendar_today02-10-2018 16:44:11

603 Tweet

1,1K Followers

322 Following

U-M IHPI (@um_ihpi) 's Twitter Profile Photo

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…

What drives <a href="/healtheconnort1/">Edward Norton</a> to study the #economics of #healthcare, and to partner with hospitals via <a href="/michiganvalue/">MVC</a> to quantify the $$$ effects of care improvements? 

Read more from <a href="/umichsph/">Michigan Public Health</a>, which just gave him its top research award: sph.umich.edu/stories/2019po…
JAMA Health Forum (@jamahealthforum) 's Twitter Profile Photo

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

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 <a href="/RozMurray3/">Roslyn C Murray, PhD</a> <a href="/healtheconnort1/">Edward Norton</a> <a href="/Andy_Ryan_dydx/">Andrew Ryan</a>
Edward Norton (@healtheconnort1) 's Twitter Profile Photo

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.

Edward Norton (@healtheconnort1) 's Twitter Profile Photo

Our theoretical contribution: a linear-in parameters regression specification with flexible functional form with group by-time treatment effects, two-way fixed effects, and interaction terms yields consistent estimates of heterogeneous treatment effects under general conditions.

Edward Norton (@healtheconnort1) 's Twitter Profile Photo

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

Edward Norton (@healtheconnort1) 's Twitter Profile Photo

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

Edward Norton (@healtheconnort1) 's Twitter Profile Photo

Our approach is simple and transparent. It is easy to know how identification is achieved, which treatment obs. are compared to which control obs., and how many parameters are estimated. We call it FLEX: it is a flexible linear model estimated by OLS with covariates (X).

Jeffrey Wooldridge (@jmwooldridge) 's Twitter Profile Photo

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.

Jeffrey Wooldridge (@jmwooldridge) 's Twitter Profile Photo

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.

Andrew M. Ibrahim MD, MSc (@andrewmibrahim) 's Twitter Profile Photo

Cider donuts and propensity score matching! #FallinAnnArbor Every two weeks our analyst meet to learn new methods and review each others code.

Cider donuts and propensity score matching! #FallinAnnArbor 

Every two weeks our analyst meet to learn new methods and review each others code.
Andrew M. Ibrahim MD, MSc (@andrewmibrahim) 's Twitter Profile Photo

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 !

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 <a href="/healtheconnort1/">Edward Norton</a> !
HEC Editors (@hecjournaltweet) 's Twitter Profile Photo

The Editorial Boards of leading health econ journals are issuing a Joint Statement of Principles on Editorial Independence. In these troubled times some scholars worry their work might suffer ideological attack. We reaffirm our commitment to unfettered scholarship. Please repost.

The Editorial Boards of leading health econ journals are issuing a Joint Statement of Principles on Editorial Independence. In these troubled times some scholars worry their work might suffer ideological attack. We reaffirm our commitment to unfettered scholarship. Please repost.
David Bradford (@bradfowd1) 's Twitter Profile Photo

The editorial boards of seven leading health econ journals are taking a stand today against political influence and ideological attacks on peer review and academia. No matter what you study we want to see your scholarship and will NEVER collaborate with suppression. Please repost