Economics and incentives
Moral hazard
When someone else will bear the cost of your risks, you take more of them.
An old insurers' term for the way being covered changes behaviour; economists took it up in the 1960s, with Kenneth Arrow's 1963 paper on the economics of medical care the usual starting point.
Once you are insured you have less reason to avoid the loss. A driver with collision cover is more willing to go out on an icy night; a homeowner with subsidised flood insurance builds on the floodplain; a bank whose creditors expect a rescue borrows more cheaply than its risks deserve. The pattern needs two parties: one chooses the risk and the other pays when it goes wrong. Insurers have always known this, which is why policies carry deductibles, coinsurance and exclusions. In finance the same pattern sits behind deposit insurance, government guarantees and the phrase "too big to fail", where the insurer is the taxpayer and the premium is zero.
The evidence that it is real comes from the RAND Health Insurance Experiment, which ran from 1971 to 1982 and randomly assigned 2,750 families, more than 7,700 people, to plans with different levels of cost sharing. Those paying 25 percent of their bills spent 20 percent less than those with free care; those paying 95 percent spent about 30 percent less. The reduction came from people deciding not to start care, not from finding cheaper care. For most participants health was no worse, with exceptions among the poorest and sickest. That is the mechanism in numbers: people respond to the price they face, and insurance changes the price.
Moral hazard is not a moral failing; it is incentives, and the word misleads. It is also easy to overstate. The RAND experiment found that cost sharing cut effective care as much as ineffective care, so putting people's own money at stake has costs of its own. Rescues are a real trade-off, not a simple error: letting AIG fail in September 2008 risked a cascade through its counterparties, while saving it taught every large firm that the state will catch them. And the argument can be abused, since "moral hazard" is a convenient reason to refuse help to anyone. Ask who chose the risk, who pays, and what the second payer could demand in return.
Example
On 16 September 2008 the US Federal Reserve lent American International Group (AIG) $85 billion for 24 months at the three-month London interbank offered rate (Libor) plus 850 basis points, taking a 79.9 percent equity interest, because it judged that "a disorderly failure of AIG could add to already significant levels of financial market fragility". Government commitments eventually reached about $182 billion: $69.8 billion from the Treasury's Troubled Asset Relief Program (TARP) and $112.5 billion from the Federal Reserve Bank of New York. The Treasury exited in March 2013 and the combined positions returned a $22.7 billion gain, but a firm whose own bets had failed had been rescued, which is the textbook case of moral hazard at the scale of a financial system.
Where it applies
Look for any place where one party chooses the risk and another pays: a team that ships without on-call duty, a contractor paid regardless of outages, an AI agent allowed to retry a paid API with no budget. Put part of the cost back on the decision-maker: error budgets, deductibles, the engineer who deploys carries the pager.
Think about it
Where do you take risks whose cost would land on someone else, and how would your choices change if you paid for them?
Applied it to something real? Log it.
Test yourselfIn the RAND Health Insurance Experiment, what happened to spending when people paid 95 percent of their bills instead of nothing?
They spent about 30 percent less, mainly by not starting care, with mostly no difference in health. Insurance changes behaviour by changing the price people face; that is moral hazard.
Related models
- The principal-agent problemWhen you pay someone to act for you, their interests differ from yours and you cannot see all they do, so expect them to serve themselves at the margin.
- Incentives drive behaviourPeople do more of what a system rewards and less of what it punishes, so to predict behaviour, look at what gets paid for.
- Margin of safetyLeave a wide gap between what you expect to need and what you build or pay, so that your errors and bad luck do not sink you.
- Asymmetric betsTake bets where the most you can lose is small and known and the most you can win is large, even if you expect to lose most of them.
- Tragedy of the commonsWhen many people share a resource nobody owns, each gains the whole benefit of using more and bears only a share of the damage, so the resource is overused.
Sources and further reading
- RAND Corporation, The Health Insurance Experiment: A Classic RAND Study Speaks to the Current Health Care Reform Debate, research brief RB-9174 (2006)
- Board of Governors of the Federal Reserve System, press release on the AIG loan, 16 September 2008
- US Department of the Treasury, AIG Program Status (TARP)