Ed Kong (@edkong) 's Twitter Profile
Ed Kong

@edkong

MD/PhD student in economics @HarvardEcon, @harvardMed, and @HarvardMITmdphd. Originally @Yale BME/Econ. Researching health care markets.

ID: 27360640

linkhttps://scholar.harvard.edu/ekong calendar_today29-03-2009 02:19:12

506 Tweet

684 Followers

788 Following

Parker Rogers (@parker_rog) 's Twitter Profile Photo

🚨 What happens when the gov't cuts prices on medical technologies? New research (w/ Yunan Ji) finds a 61% price cut led to: 75% drop in innovation (may fully offset savings) 49% fewer new firms 28% more production moved overseas 3x repair/replacement rate 🧡(1/n)

🚨 What happens when the gov't cuts prices on medical technologies?

New research (w/ <a href="/YunanJi/">Yunan Ji</a>) finds a 61% price cut led to:

75% drop in innovation (may fully offset savings)
49% fewer new firms
28% more production moved overseas
3x  repair/replacement rate

🧡(1/n)
Jake Wintermute 🧬/acc (@synbio1) 's Twitter Profile Photo

Every synthetic biologist, every biochemist, when they dream, will sometimes hear a voice calling A whisper on the wind, as impossible as infinity, as sweet as the ambrosia of the very Gods "Engineer RuBisCo" And this paper takes us one step closer nature.com/articles/s4158…

Jason Abaluck (@jabaluck) 's Twitter Profile Photo

The best study I know estimates that each dollar of NIH spending generates $1.40-$2.80 in value counting *only the private return from drugs*, ignoring consumer surplus, med devices, public health, behavioral science, etc...

Peter Hull (@instrumenthull) 's Twitter Profile Photo

Not too much goin' on today, so I thought I'd tell you about a new paper just published in NEJM Evidence, w/ Josh Angrist, Carol Gao, and Robert W. Yeh We explain why instrumental variable (IV) methods are essential for randomized trials of medical interventions that fail to play out

Not too much goin' on today, so I thought I'd tell you about a new paper just published in <a href="/NEJMEvidence/">NEJM Evidence</a>, w/ <a href="/metrics52/">Josh Angrist</a>, <a href="/carolxmgao/">Carol Gao</a>, and <a href="/rwyeh/">Robert W. Yeh</a> 

We explain why instrumental variable (IV) methods are essential for randomized trials of medical interventions that fail to play out