Gary is a recent college graduate. After six months at his new job, he has finally saved enough to buy his first car. a. Gary knows very little about the difference between makes and models. How could he use market signals, reputation, or standardization to make comparisons? b. You are a loan officer in a bank. After selecting a car, Gary comes to you seeking a loan. Because he has only recently graduated, he does not have a long credit history. Nonetheless, the bank has a long history of financing cars for recent college graduates. Is this information useful in Gary's case? If so, how?

Short Answer

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a. Gary can use market signals to understand the preferences of other consumers, he can choose a car make or model with a good reputation, and take into account standardization norms relevant to cars to make an informed decision. b. Yes, the bank's past records of financing recent graduates can help estimate the risk associated with lending to Gary and make an informed decision.

Step by step solution

01

Understanding the role of market signals, reputation, and standardization in comparisons

First, let's delve into market signals, reputation, and standardization. Market signals are information sent from consumers to producers about their preferences, which helps businesses understand what services or goods are in demand. Reputation involves a company's history and how it has dealt with customers and competitors in the past. Standardization refers to the uniformity of a certain set of criteria that a product should meet, making it easier for consumers to compare different options. In the case of Gary, who has limited knowledge about cars, these tools could aid him in making an informed decision. For instance, he could look at market signals to see which car make or model other consumers are buying most. He could go for a company with a good reputation for quality and after-sales service or choose a car that meets specific standardization protocols relevant to cars.
02

Assessing the utility of past records in credit decision making

In the second scenario, Gary's short credit history poses a challenge in evaluating his creditworthiness. However, the bank has experience in financing cars for recent graduates. This historical data can be valuable in such a scenario. The bank can use these records to estimate the risk associated with lending to recent graduates like Gary. It might consider factors such as the default rate among recent graduates, their repayment behavior, and so on. This information would help the bank in making a more informed decision about whether to issue a loan to Gary or not.

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