Discussion


Step 1: Read the following letter to the editor of the Chicago Tribune. Link: Get rid of adverse selection for health insurance – Chicago Tribune.pdf Download Get rid of adverse selection for health insurance – Chicago Tribune.pdf

“Millions of Americans with past or current health problems have difficulty obtaining health insurance.  The problem revolves around what insurers call “adverse selection.” Sick people cost insurers more than healthy people.  If one insurer offered equally affordable policies to everyone, sick or healthy, sick people would gravitate to that company. The cost to insure all those sick people either would bankrupt the company or require the company to raise its rates. Healthy people, able to obtain cheaper coverage elsewhere, would change insurers. If insurers were precluded from considering health, there would be no adverse selection. … If insurers could eliminate the costs of investigating and record keeping, they actually might be able to lower rates.

Many of America’s health insurance problems would disappear if Congress passed a law stating that “No health insurer may consider any applicant’s past, current or future health or age.”  By eliminating adverse selection, such a law would put all insurers on the same plane, reduce insurance costs and make health insurance available to more people. A serious social problem could be reduced with a one-sentence law.”

Step 2: Answer the following two questions.

Q1: Did the author do a good job of explaining the problem of adverse selection?

Q2: The author mentions “Many of America’s health insurance problems would disappear if Congress passed a law stating that “No health insurer may consider any applicant’s past, current or future health or age.” Do we have such a law that requires community rating* (instead of experience rating) today?  Did the law work to eliminate adverse selection and accomplish what the author was aiming for?  

* Community Rating is a rule that prevents health insurers from varying premiums within a geographic area based on age, gender, health status or other factors. 

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