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If Starbucks’s marketing department estimates the income elasticity of demand for its coffee to be 2.6, how will the prospect of an economic boom (expected to increase consumers’ incomes by6percent over the next year) impact the quantity of coffee Starbucks expects to sell?

Short Answer

Expert verified

The demand will increase by 15.6%.

Step by step solution

01

Find the elasticity of demand

The elasticity of demand is defined as the ratio of the percentage change in demand with the percentage change in price.

E=%ΔQxd%ΔQPx

%ΔQxdrepresents the change in the quantity demanded

%ΔQPxrepresents the change in price

Eis own price of elasticity of demand

02

Calculation

According to the task we have,

E=2.6

%ΔQPx=6

By substituting the values, we will get,

E=%ΔQxd%ΔQPx2.6=%ΔQxd6%ΔQxd=15.6%

Since it is expected for the consumer's income to increase by 6% over the next year, the demand for coffee will also increase by 15.6% .

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Most popular questions from this chapter

The demand function for good Xis lnInQxd=a+bInPx+cInM+e, where PXis the price of good X and M is income. Least squares regression reveals thata^=7.42,b^=-2.18;andc^=0.34

a. If M=55,000andPx=4.39, compute the own price elasticity of demand based on these estimates. Determine whether demand is elastic or inelastic.

b. If M=55,000andPx=4.39, compute the income elasticity of demand based on these estimates. Determine whether Xis a normal or inferior good

Answer the following questions based on the accompanying diagram.

  1. How much would the firm’s revenue change if it lowered the price from\(12to\)10? Is demand elastic or inelastic in this range?
  2. How much would the firm’s revenue change if it lowered the price from\(4to\)2? Is demand elastic or inelastic in this range?
  3. What price maximizes the firm’s total revenues? What is the elasticity of demand at this point on the demand curve?

A quant jock from your firm used a linear demand specification to estimate the demand for its product and sent you a hard copy of the results. Unfortunately, some entries are missing because the toner was low in her printer. Use the information presented below to find the missing values labelled ‘1throughrole="math" localid="1657353618073" 7’ (round your answer to the nearest hundredth). Then, answer the accompanying questions.

a. Based on these estimates, write an equation that summarizes the demand for the firm’s product.

b. Which regression coefficients are statistically significant at the5percent level?

c. Comment on how well the regression line fits the data.

Question 12. You are the manager of a firm that sells a leading brand of alkaline batteries. A file named Q12.xls with data on the demand for your product is available online at www.mhhe.com/baye8e. Specifically, the file contains data on the natural logarithm of your quantity sold, price, and the average income of consumers in various regions around the world. Use this information to perform a log-linear regression, and then determine the likely impact of apercent decline in global income on the overall demand for your product.

You are a manager in charge of monitoring cash flow at a company that makes photography equipment. Traditional photography equipment comprises 40percent of your revenues, which grow about 2 percent annually. You recently received a preliminary report that suggests consumers take three times more digital photographs than photos with traditional film, and that the cross-price elasticity of demand between digital and disposable cameras is -0.3. In 2012, your company earned about #600 million from sales of digital cameras and about $400 million from sales of disposable cameras. If the own price elasticity of demand for disposable cameras is -2, how will a 4 percent decrease in the price of disposable cameras affect your overall revenues from both disposable and digital camera sales?

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