Buyers' willingness to pay (WTP) for auto insurance plans, and sellers’ willingness to accept (WTA) when selling plans to each type of buyer, are outlined below. High-Risk 10,000 Low-Risk WTP ($) WTA ($) 6,000 8,000 2,000 (a) In a world with perfect information, would the market for insurance plans clear? If not, why? If yes, what are some prices that would allow both markets to clear? The prices in each market are allowed to differ. (b) Assume now that there is asymmetric information and that insurance companies do not know how risky an individual buver is In the face of this uncertainty they determine that the
Buyers' willingness to pay (WTP) for auto insurance plans, and sellers’ willingness to accept (WTA) when selling plans to each type of buyer, are outlined below. High-Risk 10,000 Low-Risk WTP ($) WTA ($) 6,000 8,000 2,000 (a) In a world with perfect information, would the market for insurance plans clear? If not, why? If yes, what are some prices that would allow both markets to clear? The prices in each market are allowed to differ. (b) Assume now that there is asymmetric information and that insurance companies do not know how risky an individual buver is In the face of this uncertainty they determine that the
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Transcribed Image Text:Suppose the market for auto insurance is made of up two types of buyers: high-risk and low-risk.
Buyers' willingness to pay (WTP) for auto insurance plans, and selers’ willingness to accept (WTA)
when selling plans to each type of buyer, are outlined below.
High-Risk Low-Risk
10,000
WTP ($)
WTA ($)
6,000
8,000
2,000
(a) In a world with perfect information, would the market for insurance plans clear? If not, why?
If yes, what are some prices that would allow both markets to clear? The prices in each
market are allowed to differ.
(b) Assume now that there is asymmetric information and that insurance companies do not know
how risky an individual buyer is. In the face of this uncertainty, they determine that the
probability that a "walk-in" is high-risk is 0.75.
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