It is likely the FAA will make regulatory changes in light of the accidents. The compliance costs for those changes — which could be substantial — will add to the cost of the 737 Max accidents. While the ongoing investigation may indicate that changes are warranted, federal authorities are likely to reflexively overregulate air safety. That overregulation can increase transportation fatalities as compliance costs drive up airfares and cause consumers to substitute higher-risk highway travel for air travel.
The Air Safety Calculus
The 737 Max crashes have made for sensational headlines at a time when air fatalities among major commercial airlines have become exceedingly rare. The last fatal U.S. airline crash was a decade ago when Colgan Air Flight 3407 crashed near Buffalo, NY, killing all 49 passengers aboard and one person on the ground. This contrasts sharply with the 36,560 fatalities on the nation’s roadways in 2018 alone, the most recent year for which data are available.
To put those numbers in perspective, in an average week the number of U.S. traffic fatalities represents more than twice the number of lives lost in the two Boeing 737 Max crashes. Because individuals “control” the car they drive but not the commercial plane they fly, they may underestimate the risk of highway travel vis-à-vis air travel. Fear of flying may serve to further distort their risk assessments.
The mortality rate for air travel is 0.07 fatalities per billion passenger miles as compared to 7.28 fatalities per billion passenger miles for automobile travel. These statistics imply that it is over 100 times more hazardous to drive than fly on a per-mile basis.
Despite the possibility of a troubling breakdown in regulatory oversight, the empirical fact that the risk of dying in an automobile crash is many times greater than dying in a plane crash should temper calls for unbridled increases in air safety regulation that also raise airfares. An increase in airfares will divert some portion of the traveling public from the air to the highways in what economists call the cross-elastic effect of airfares on the demand for automobile travel.
Suppose, for example, that the cross-price elasticity of highway travel with respect to air travel is H–A = 0.2. This means that a 10% increase in airfares would result in a 2% (0.2 × 10%) increase in highway miles traveled. Hence, from a public policy perspective, it is possible for air travel to be “too safe” in the sense that lives saved in the air come at the cost of many more lives lost on the ground.
According to the U.S. Department of Transportation, there were 694 billion domestic passenger air-miles and 5,502.42 billion total passenger highway miles traveled in 2017. Table 1 shows the effect of a 10% airfare increase on passenger highway miles traveled for various H–A values. Consider H–A = 0.06. With a 10% increase in airfare, an estimated 33 billion additional passenger-miles would be driven. This would be expected to result in an increase in annual highway fatalities of 240, which represents almost 70% of the fatalities in the two 737 Max crashes in a single year. What this analysis suggests is that even relatively modest increases in airfares resulting from more stringent regulation can easily cost more lives on the ground than are saved in the air.
The effects of more stringent air safety regulation on the demand for air and highway travel are illustrated in Figure 1. Increased air safety regulation raises the price of air travel from P0A to P1A. (The analysis abstracts from the marginal shift outward of the demand curve for air travel that may result from safer air travel.) This reduces the quantity demanded of air travel from Q A (P0A , PH) to Q A (P1A , PH). Given that the two modes of travel are substitutes, the increase in the price of air travel shifts the demand curve for highway travel from D H (P H, P0A) to D H (P H, P1A) and causes an increase in the quantity demanded of highway travel from Q H (P H, P0A) to Q H (P H, P1A).
The FAA’s mission, according to its website, is to provide the safest, most efficient aerospace system in the world. If you ask economists about investment in airline safety, they will tell you that society’s optimal amount occurs when the marginal benefit of airline safety is equal to the marginal cost of airline safety. At that point, the last (marginal) dollar invested in airline safety confers a dollar in net benefits. For levels of investment less (greater) than that amount, the marginal benefit of an additional dollar invested in airline safety is greater (less) than the dollar that it costs.
It is important to understand precisely what this marginal condition says as well as what it does not. It does not say that society should invest in airline safety up to the point where the probability of an airline crash is effectively zero. The airline industry may well have the technology to achieve such an outcome, but that does not imply that society should commit to that level of investment. Because airline safety is subject to diminishing returns, achieving progressively lower probabilities of air accidents requires ever-increasing financial outlays. And airlines attempt to recover those expenditures through airfare price increases.
When the price of air travel rises, rational consumers will seek alternative modes of travel. This diverts some proportion of consumers from the skies to the highways, where their fatality probabilities are more than 100 times greater. The objective of increased travel safety transcends saving more lives in the air; it also should save more lives across all modes of travel. As a policy matter, we should not seek to save 10 more lives in the air if the cost is 1,000 more lives lost on the nation’s highways. The policy focus should be on net lives saved.
The stylized relationship between investment in airline safety and net lives saved is illustrated in Figure 2. At investment level I1, a marginal increase in investment in airline safety increases the number of lives saved in the air by an amount greater than the increase in the number of lives lost on the highways. This indicates that society would benefit from an increase in investment. The opposite scenario occurs at investment level I2, which indicates that society would benefit from a decrease in investment. The optimal amount of airline safety occurs at investment level I*. At this optimal level of investment, any marginal change in air-safety investment, positive or negative, reduces the net number of lives saved across both modes of travel.
Applications of the Air Safety Calculus
Policymakers often face this tradeoff when making decisions. Here are a few examples.
Child safety seats on planes / At first glance, it may seem that the merit of a policy mandating child safety seats (CSS) on commercial airliners is obvious. After all, if regulatory policy requires CSS in automobiles traveling 60 mph, why would it not require CSS on airplanes traveling 600 mph?
Yet, as economist Thomas Sowell has observed, whether policymakers should mandate CSS on commercial aircraft is an empirical issue. If the cross-price elasticity between automobile travel and air travel is sufficiently large, the effective higher price of air travel would induce some families to substitute risky automobile travel for relatively safe air travel, resulting in a net increase in the number of fatalities. The riskier that highway travel is relative to air travel, the smaller the critical cross-price elasticity required to justify the public policy decision not to mandate CSS.