Exam 3: Quantitative Demand Analysis

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Suppose the equilibrium price in the market is $100 and the marginal revenue associated with the linear (inverse) demand function is $50. Then we know that the own price elasticity of demand is:

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The demand for good X is given by ln Qxd = 120 - 0.9 ln Px + 1.5 ln Py - 0.7 ln M. Which of the following statements is correct?

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  From the regression output, the predicted regression line is: From the regression output, the predicted regression line is:

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When a demand curve is linear:

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If the cross-price elasticity between goods X and Y is zero, we know the goods are:

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Which of the following can be used to quantify the overall statistical significance of a regression?

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Suppose the demand function is Qxd = 100 - 8Px + 6Py - M. If Px = $4, Py = $2, and M = $10, what is the cross-price elasticity of good x with respect to the price of good y?

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Suppose the own price elasticity of demand for good X is -0.5, and the price of good X increases by 10 percent. What would you expect to happen to the total expenditures on good X?

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As we move up along a linear demand curve, the price elasticity of demand becomes more:

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An econometrician has estimated the inverse demand relation P = a + bQ + e and found that An econometrician has estimated the inverse demand relation P = a + bQ + e and found that       and   = 0.75. Find the approximate 95 percent confidence interval for the true values of a and b. An econometrician has estimated the inverse demand relation P = a + bQ + e and found that       and   = 0.75. Find the approximate 95 percent confidence interval for the true values of a and b. An econometrician has estimated the inverse demand relation P = a + bQ + e and found that       and   = 0.75. Find the approximate 95 percent confidence interval for the true values of a and b. and An econometrician has estimated the inverse demand relation P = a + bQ + e and found that       and   = 0.75. Find the approximate 95 percent confidence interval for the true values of a and b. = 0.75. Find the approximate 95 percent confidence interval for the true values of a and b.

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The elasticity of variable G with respect to variable S is defined as:

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You are the manager of a popular hat company. You know that the advertising elasticity of demand for your product is 0.25. How much will you have to increase advertising in order to increase demand by 5 percent?

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You are the manager of a supermarket, and you know that the income elasticity of peanut butter is exactly -0.7. Due to the economic recession, you expect incomes to drop by 15 percent next year. How should you adjust your purchase of peanut butter?

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Suppose the demand function is given by Qxd = 8Px0.5 Py0.25 M0.12 H. Then good x is:

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Suppose the demand for good x is ln Qxd = 21 - 0.8 ln Px - 1.6 ln Py + 6.2 ln M + 0.4 ln Ax. Then we know good x is:

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You are the manager of a popular shoe company. You know that the advertising elasticity of demand for your product is 0.15. How much will you have to increase advertising in order to increase demand by 10 percent?

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If the absolute value of the own price elasticity of steak is 0.4, a decrease in price will lead to:

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If there are few close substitutes for a good, demand tends to be relatively:

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Suppose Qxd = 10,000 - 2 Px + 3 Py - 4.5M, where Px = $100, Py = $50, and M = $2,000. Then good X has a demand which is:

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As we move down along a linear demand curve, the price elasticity of demand becomes more:

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