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.
Trump proposes to implement a "most-favored-nation" requirement (i.e. "reference pricing"). Such a rule might, for example, dictate that drug companies can't sell at higher prices in the US than in Canada. Common intuition is that US prices would drop to Canaian price level.
While that might work very briefly, drug companies will realize the price they set in Canada constrains the price they can set in the US. A smart drug company might insist on a much higher price in Canada to avoid having to lower their price in the US!
And, indeed, that's the case. We estimate a model of pharmaceutical supply and demand in the US and Canada and find that such a reference pricing rule would lower US drug prices by 7.5% while raising Canadian prices by 216%!
You might be skeptical that drug companies would be so strategic. But there's great evidence from Fiona Scott Morton that drug companies were strategic in exactly this way when Medicaid implemented a reference pricing rule within the US.
Why can't the Canadian government keep negotiating low prices? Put simply, under reference pricing, drug companies would rather leave Canada than lower their US prices too much. Luca Maini has an incredible paper examining this phenomenon in Europe: aeaweb.org/articles?id=10…
To be fair, proposals often reference many or larger countries. These are more effective in lowering prices (e.g., ~15% price reduction for referencing 6 countries like Canada). But the primary effect is *still* to raise prices dramatically in the referenced countries.
Note that in these examples, drug companies are able to raise their prices abroad by threatening to leave. What if the US neutralized that threat by requiring drug companies to sell in reference countries? Prices decrease much more in the US and increase by *merely* 93% abroad.
Of course, lowering prices in the US doesn't mean we need to raise prices abroad. We could simply negotiate prices in the US without referencing other countries.
What does reference pricing mean for drug companies? They earn less profit in the US and more profit abroad.
In fact, in some cases, profits abroad increase by enough to more than offset lost profits in the US! This may explain why pharmaceutical stock prices didn't tank today with the announcement.
What should we take away from all of this? A few things: 1. While reference pricing would lower drug prices in the US, most plausible implementations would lead to only small price reductions. The principal effect would be to raise prices abroad.
If raising prices abroad is your primary goal, then reference pricing is perhaps a very reasonable approach. I'm sympathetic to this argument. Other developed countries undoubtedly free ride on the US paying high prices that incentivize pharmaceutical innovations.
An important caveat here is that it's undoubtedly stupid to reference developing countries. Chaudhuri, @PennyG_Yale, and @panlejia have a great paper demonstrating that the costs far outweigh the benefits to generating profits in developing countries:
2. The devil is in the details. Something as small as the rules when a drug company chooses not to launch in a reference country makes a huge difference in how effective reference pricing is. We really need much more information to estimate the efficacy of the new policy.
3. If you want to lower prices in the US without raising prices abroad, you can do that directly. There's no need to implement reference pricing. However, doing so in this way isn't free. It could seriously reduce incentives for new pharmaceutical innovations, which would be bad!
🚨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!
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
And yet very few facilities close down. Indeed, during that same time period, there has been a host of M&A at high prices, including by sophisticated private equity acquirers.
Something doesn't add up! Providers can't be unprofitable and desirable to own! What gives?
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.
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Step 2: If you must file a FOIA, first check whether the information could be withheld under an “Exemption” or “Exclusion” (screenshots below). These are generally reasonable and are intended to protect individuals’ privacy, trade/commercial secrets, and security/safety.
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).
Turnover rates are arguably the most pedestrian staffing measure one can construct. For example, we can measure the experience level of a facility's staff. (What percentage have spent, say, a year or more at the facility?) Constructing good public-facing measures may be valuable.
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]
(2) Read papers in historical context. Seeing what's great about a paper often requires knowing the tools available to the authors and the challenges the field faced at the time. Creating a timeline of papers really helped me to more deeply understand and retain content. [3/4]