Your company has a customer who is shutting down a production line, and it is your responsibility to dispose of the extrusion machine. The company could keep it in inventory for possible future product and estimates that the reservation value is $ 250,000. Your dealings on the second-hand market lead you to believe that there is a 0.4 chance a random buyer will pay $ 300,000, a 0.25 chance the buyer will pay $ 350,000, a 0.1 chance the buyer will pay 400,000, and a 0.25 chance it will not sell. If you must commit to a posted price, what price maximizes profits?
You want to price posters at the Poster Showcase profitably and run an experiment to estimate the demand elasticity. You raise the price of kitten posters 10% but keep your dog poster prices unchanged. After a month, kitten poster unit sales fall by 12%, but dog posters rise by 8%. Why might the elasticity estimate from this experiment be biased?
Moe Green estimates the cost of future projects for a large contracting firm. Mr. Green uses precisely the same techniques to estimate the costs of every potential job, and formulates bids by adding a standard profit markup. For some companies to whom the firm offers its services, no competitors exist, so they are almost certain to get them as clients. For these jobs, Mr. Green finds that his cost estimates are right, on average. For jobs where competitors are also vying for the business, Mr. Green finds that they almost always end up costing more than he estimates. Why does this occur?
In Sweden, firms that fail to meet their debt obligations are immediately auctioned off to the highest bidder. (There is no reorganization through Chapter 11 bankruptcy.) The current managers are often the high bidders for the company. Why?
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