A Manufactured Tragedy: The Origins and Deep Ripples of the Opioid Epidemic, presented by @caroartc at @WiEMecon
Overdose deaths involving opioids have increased dramatically in the US, and more the 300,000 have died due to this since 1999.
How did we get here? This question is difficult to answer because there are both demand- and supply-side factors
This paper proposes an instrumental variable based on Purdue Pharama (the company that produced OxyContin)’s marketing strategy which initially targeted the cancer pain market (and even worse, then doubled down to promote even more sales among the highest prescribers)
The main identification strategy is IV, where cancer rates in the pre-OxyContin time period instrument for the difference in prescription opioids (from the pre-Oxy to post-Oxy periods), which then impact the differences in outcomes of interest.
There’s a first stage, folks! Commuting zones with the highest cancer rates during the time of OxyContin’s launch received 1.96 more doses of opioids per capita.
The other identification assumption is in parallel trends in cancer rates. There’s evidence of parallel pre-trends, so we’re okay here! (See the paper for a full discussion of the identification strategy and assumptions)
The results are in: moving from a low-cancer area to a high-cancer area (in which marketing Oxy was prioritized by Purdue) leads to an increase in opioid mortality and SNAP claims, and worse infant health.
Opiates of the Masses? Deaths of Despair and the Decline of American Religion, presented by @TamarOostrom at @WiEMecon
Deaths of despair (think suicide, overdoses, liver disease) were decreasing until the 1990s, when an uptick occurred.
This uptick is not ideal, so it’s important to learn what the causes of deaths of despair are. A few potential causes have been the focus of the literature, like economic prospects and opioid availability. But what about social and cultural determinants?
Sex, Drugs, and R&D: Missing Innovation from Regulating Female Enrollment in Clinical Trials, presented by @v_michelman at @WeimEcon
Many groups of people are understudied in research, potentially because it’s more costly to recruit certain types of patients, and because of regulatory barriers for studying vulnerable populations
The main question this paper asks is: Do these costs lead to an unintended consequence of less innovation for the underrepresented groups? The answer is yes!
Live-tweeting for @WiEMecon:
Relationship Banking and Credit Scores, presented by @m_shaton
Credit scores are a controversial topic, for many good reasons! This paper focuses on the alternative and asks: what happens in a world without credit scores?
One alternative to credit scores is relationship banking, where banks learn about borrowers through long term relationships. But this has issues too – banks can charge high prices because a consumer can only borrow from an institution they have a relationship with.