Adverse selection is often considered a result, rather than a cause of moral hazard, where offering a risk-bearing product creates incentive for demand by the riskiest consumers. Obvious modern examples include offering expensive mortgages to high-risk home buyers, or selling life or health insurance at the same price regardless of consumer demographics. Not charging potentially sick or aged consumers more for health or life insurance sets up a stronger incentive for those customers to purchase than for the young and healthy, and therefore higher risk than the overall average. The resulting higher risk proportion is called 'adverse selection.' If credit costs extra for high-risk borrowers, low-risk borrowers will choose less-expensive product or won't need to borrow in the first place, with the result being a higher likelihood of default for the least able to pay with the highest cost compared to the total group average of all potential consumers. Lawrence Ausubel (1999) demonstrated adverse selection in credit markets before the recent wave of financial 'innovation,' and traces the history of underlying concepts back a century or more in insurance, with Ackerlof's seminal 1970 paper -- ironically here on the market for 'lemons' (used cars) -- demonstrating the result could be exactly the type of rationing that aggravated the modern banking crisis circa 2009. Demonstrating how adverse selection could result from increased regulation in private or public sectors reveals significant economic effects the Globe and Mail glosses over.
Conceptual model
The effects of this type of trade regulation can be modeled using traditional supply and demand curves, on the (positive, northeast) Cartesian plane with units of output on the X axis and price on the Y axis. Demand is generally downsloping for normal (i.e. non-luxury goods), where a normal good is one consumers purchase more of at lower prices or if incomes rise. The opposite is an 'inferior good,' one with a boomerang-shaped preference curve, which consumers buy less of when incomes rise. The supply picture can take numerous forms, but is usually upsloping, where higher prices encourage more production. Economies of scale can cause a series of stepwise plateaus for example; likewise if there is surplus production, demand can start out flat if higher consumption does not generate price increases. Long-run marginal cost (MC) is U-shaped, indicating high unit cost at extremely low and high output, with a minimum that maximizes profit for the firm when the cost of one additional unit equals sales price (revenue) for all units. Monopolists have an incentive to raise price at less output with higher profits but could produce and move more output at lower prices. In that case there is an artificial shortage of that good, at unnecessary cost to the whole society. Imposing external costs through regulation moves the supply curve to the left, reducing output at higher prices. Potential profits go unclaimed and society could be better off producing more. For public goods offered at one price regardless of demand, crowding sets in and shortages or rationing result such that demand also remains unfulfilled. These concepts all rely on standard assumptions like free mobility of labor and capital, unrestricted entry and rational consumers, which are patently questionable.
Analysis
Chase (2010) fails to follow the economic effects of food safety any farther than the tax bill or shelf price, perhaps because those effects ripple far beyond the space allotted for even the week-long series. Likewise an exhaustive demonstration of specific effects on the Canadian economy would exceed this available space, but even a simplified model of the costs and benefits of food safety can demonstrate ramifications beyond the Globe and Mail story.
Chase revises the taxpayer out of his estimate of who will bear cost toward the end of the 2010 article, explaining big producers and retailers who can bear increased regulatory cost will edge smaller firms out, even though comparable U.S. cattle tracking and accountability systems only constitute less than 1% of annual sales (this implies a hasty generalization all exporters will face the same cost proportions, incidentally). The result will be a concentration of supply where non-compliance will result in firm death after the initial government subsidy expires (Chase, 2010). Jessica Leeder elaborates on the incentive to cheat engendered by this threat of higher cost in the subsequent story (2010). Nowhere in the ongoing series does either writer consider the macroeconomic effects to the consumer from increased prices following regulation, and although Chase points out that the dangers of lax oversight include " cancer-causing...
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