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Ashvin Gandhi Profile picture
Ashvin Gandhi
@ashdgandhi
I'm an Industrial Organization and Health Economist at @UCLAAnderson and @nberpubs
May 12 • 18 tweets • 6 min read
Today, @realDonaldTrump (@WhiteHouse) signed an executive order on drug pricing. Thank you to everyone who pointed out that @shoshievass, Pierre Dubois, and I looked at this sort of policy in our paper. A quick thread on the main results with some important nuance. Drug price controls have substantial support on both sides of the aisle for a reason. The US is essentially the only developed country that doesn't regulate drug prices, and as a result we pay many times what other countries do. Image
Mar 18, 2024 • 17 tweets • 7 min read
🚨New @nberpubs with @andrewolenski on major hidden profits in the healthcare sector! Bear with me as I explain how nursing homes are able to hide almost 2/3 of their profits from regulators and the public! I promise it's worth it!

🧵1/17

Paper: nber.org/papers/w32258
Image Providers participating in Medicare/Medicaid submit financial data to federal/state authorities. These submitted financials often suggest that providers are in desperate financial straits. For example, since 2000, the typical nursing home has claimed to be unprofitable!

2/17 Image
Feb 14, 2024 • 10 tweets • 4 min read
I’ve successfully filed 8 FOIAs and won 3 FOIA lawsuits. The following thread is a guide to filing a FOIA request as a researcher, including templates and real example filings.

Please RT! If this thread is helpful, I'll write a Part 2 on filing FOIA lawsuits.

1/10 Step 1: Try to avoid filing a FOIA since it's a slow and often adversarial process. It's usually faster/easier to contact someone in the relevant agency, have a friendly conversation about the importance of the agency's work and your research, and ask nicely for the data.

2/10
Mar 3, 2021 • 6 tweets • 2 min read
🚨Data Watch🚨A quick thread for my researcher followers on the great data in this study and their potential for future research.

Summary: 1.4 billion employee shifts (9 million employer-employee relationships) covering all US nursing homes for >4 years. Lots of potential here. These new administrative data detail the daily staffing decisions of a whole industry: who worked how many hours at each facility on each day, as well as what their role was (e.g., RN, LPN, CNA, director, PT, OT, etc.) and their employment relationship (contractor, wage, salary).
Feb 10, 2021 • 4 tweets • 1 min read
I've seen surprisingly little #EconTwitter advice for second years, so here's a short thread with three pieces of advice I found helpful when reading papers to prepare for field exams. [1/4] (1) Read papers charitably. There's a reason the the paper published well and is on the syllabus. It's easy to find faults with any paper, including great papers. What's actually important/necessary to truly understand a paper is to appreciate what's great about it. [2/4]