Week 11: Public Health Externalities and Bioethics
Bioethical dimensions, negative societal externalities, and public health economics of hyper-efficient retail alcohol distribution.
Core reading: Public Health Externalities of Optimized Discount Liquor Purchasing (Roberts & Lin, Journal of Medical Ethics, 2023).
The Lecture#
Throughout this semester, we have treated the retail alcohol market strictly as an exercise in quantitative optimization, economic modeling, and regulatory arbitrage. We have quantified the absolute price floor of fermentation, exploited the WET tax loophole, and scripted algorithms to maximize the ABV-to-dollar index. Week 11 provides a necessary, rigorous pause to examine the bioethical consequences of that optimization.
When retailers and consumers systematically drive down the financial cost per standard drink, the resulting macroeconomic efficiency generates profound negative externalities. This lecture examines the direct correlation between hyper-optimized discount purchasing, population-level morbidity rates, and socioeconomic degradation. We analyze how the structural loopholes we have reverse-engineered throughout the semester disproportionately impact vulnerable demographic cohorts, shifting the financial burden of public health crises onto public health infrastructure. Understanding these externalities is vital, not to moralize our models, but to accurately calculate the full socioeconomic impact of the inventory systems you are designing.
Applied Computational Lab#
In this week’s lab, you will step away from price optimization to model societal cost. Using datasets provided by the course, you will calculate the imputed public health expenditure associated with the consumption volume of your Week 10 Event Portfolio.
Your task is to integrate a “social harm coefficient” into your budget spreadsheet, balancing your financial savings against the externalized morbidity costs of high-efficiency alcohol distribution. This exercise ensures your final capstone portfolio is intellectually comprehensive, acknowledging both the microeconomic savings of tax exploitation and the macro-level externalities documented in our literature.
Mandatory reading#
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Surveying the range and magnitude of alcohol’s harm to others in Australia — Laslett, Room, Ferris, Wilkinson et al., Addiction 106(9), 2011, 1603–1611. This comprehensive national survey measures the tangible harms inflicted by alcohol consumption on individuals other than the drinker. The authors document that 70% of respondents were negatively affected by the drinking of strangers, while 30% suffered harm from someone close to them. This paper provides the precise numerical quantification of the negative externalities discussed in the lecture. Your capstone critical reflection is fundamentally weaker for omitting this empirical reality.
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Special taxation of alcoholic beverages to correct market failures — Freebairn, Economic Papers 29(2), 2010, 200–214. Freebairn outlines the classic market-failure argument for imposing special taxation on alcohol in the first instance. This text establishes the theoretical framework wherein the statistical harms documented by Laslett et al. are translated from mere public health statistics into legitimate economic policy questions. Read this paper to understand the precise boundaries of what market-correction taxes are designed to achieve—and, crucially, what economic limits those policies face when confronted with WET loopholes.
Who respondents said the harm came from
Laslett et al. (2011) surveyed Australians who reported being harmed by someone else's drinking, and asked whose. Seventy per cent named a stranger; thirty per cent named someone close to them. The two views below present the same reported figures.
- A stranger's drinking (7 of 10)
- Someone close to them (3 of 10)
The week 11 lab: The externality statement
Before the lab#
Bring your week 10 solver output — the constrained selection it produced for a fifty-person event — and read this week’s lecture beforehand. The lab is mostly writing, and it goes badly without the reading.
In the lab#
What is being asked. The portfolio requires a stated position on the externalities raised in week 11, applied to your event’s scale. Not a disclaimer, not a paragraph of throat-clearing before the real answer — a position, with the same evidentiary standard as your tax argument.
The first failure: the hedge. A statement that says the optimisation should be applied “responsibly” has said nothing, because it names no variable and forbids no outcome. Test yours: does it identify something specific your model does, and does it say what follows? If it would read identically under any inventory whatsoever, it is a hedge.
The second failure: the joke. A statement that treats the externality as the funny part of an otherwise serious document has also said nothing, and has additionally told the reader not to trust the rest. Test yours: is there a sentence you wrote because it was amusing rather than because it was true?
What the reading actually claims. Externalities scale with adherence to the index, not with spend — so the honest version of the argument is about how strictly your portfolio is followed, and the multiplication by guest count is where an individual heuristic becomes an event-scale quantity. That multiplication is the specific claim your statement can make that a shopper-scale one cannot.
Afterwards#
You leave with a drafted statement that has survived both tests, and one named consequence at event scale. Week 12 puts it in front of the room.
What you leave the lab able to do
Written so a reader can tell whether it has been met without asking you. The assessments assume it has.
- you have a drafted externality statement for your own portfolio, at event scale
- your statement survives both failure tests applied in the lab
- you can state one thing your optimisation would change about the event, not about a shopper
Teaching team
- Marisol Quaye — convenor