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According to CNN, two dairy farmers challenged the legality of the funding of the “Got Milk?” campaigns. They argued that the “Got Milk?” campaigns do little to support milk from cows that are not injected with hormones and other sustainable agriculture products, and therefore violate their (and other farmers’) First Amendment rights. The third U.S. Circuit Court of Appeals agreed and concluded that dairy farmers cannot be required to pay to fund the advertising campaigns. One of the obvious backlashes to the National Dairy Promotion and Research Board is reduced funding for advertising campaigns. To assess the likely impact on milk consumption, suppose that the National Dairy Promotion and Research Board collected data on the number of gallons of milk households consumed weekly (in millions), weekly price per gallon, and weekly expenditures on milk advertising (in hundreds of dollars). These data, in forms to estimate both a linear model and log-linear model, are available online at www.mhhe.com/baye8e in a file named Q20.xls. Use these data to perform two regressions: a linear regression and a log-linear regression. Compare and contrast the regression output of the two models. Comment on which model does a better job fitting the data. Suppose that the weekly price of milk is \(3.40per gallon and the National Dairy Promotion and Research Board’s weekly advertising expenditures fall35percent after the court’s ruling to \)150 (in hundreds). Use the best-fitting regression model to estimate the weekly quantity of milk consumed after the court’s ruling.

Short Answer

Expert verified

The weekly quantity of milk consumed after the court's ruling is 61.03 gallons.

Step by step solution

01

The regression analysis

As per the above data, the log-linear regression equation can be interpreted as:

Qxd=a+bPx+cAx

02

Find weekly quantity of milk consumed

Reading the value of coefficients we obtain the estimated linear model function:

Qxd=6.52-1.614Px+0.004Ax

Here,

Qxdis the demand for milk

Pxis the price of milk in gallons

Axis the price of milk advertising

Assuming now that the weekly price of milk is3.40per gallon and that the weekly cost of the Advertising Board is 15,000.

By substituting the given values into the equation of the linear regression model, we will get an estimate weekly amounts of milk consumed.

Therefore,

Qxd=6.52-1.614Px+0.04Ax

Qxd=6.52-1.614·3.4+0.004·15,000Qxd=6.52-5.49+60Qxd=61.03

Thus, the weekly quantity of milk consumed after the court's ruling is localid="1658333192373" 61.03gallons.

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Most popular questions from this chapter

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.

The demand curve for a product is given byQxd=1,200-3Px-0.1Pz

where Pz=\(300.

a. What is the own price elasticity of demand when Px=\)140? Is demand elastic or inelastic at this price? What would happen to the firm’s revenue if it decided to charge a price below \(140?

b. What is the own price elasticity of demand when Px=\)240? Is demand elastic or inelastic at this price? What would happen to the firm’s revenue if it decided to charge a price above Px=\(240?

c. What is the cross-price elasticity of demand between good X and good Z when Px=\)140? Are goods X and Z substitutes or complements?

As newly appointed “Energy Czar,” your goal is to reduce the total demand for residential heating fuel in your state. You must choose one of three legislative proposals designed to accomplish this goal: (a) a tax that would effectively increase the price of residential heating fuel by \(1; (b) a subsidy that would effectively reduce the price of natural gas by\)3; or (c) a tax that would effectively increase the price of electricity (produced by hydroelectric facilities) by$4 . To assist you in your decision, an economist in your office has estimated the demand for residential heating fuel using a linear demand specification. The regression results are presented on page 119. Based on this information, which proposal would you favor? Explain.

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?

The owner of a small chain of gasoline stations in a large Midwestern town read an article in a trade publication stating that the own price elasticity of demand for gasoline in the United States is -0.2. Because of this highly inelastic demand in the United States, he is thinking about raising prices to increase revenues and profits. Do you recommend this strategy based on the information he has obtained? Explain.

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