Essentials of Economics (MindTap Course List)
Essentials of Economics (MindTap Course List)
7th Edition
ISBN: 9781285165950
Author: N. Gregory Mankiw
Publisher: Cengage Learning
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Chapter 6, Problem 1QR
To determine

The price ceiling and price floor.

Expert Solution & Answer
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Explanation of Solution

The price controls are the government-controlled price mechanisms. The maximum and the minimum prices will be set under the price controls by the government in order to prevent overpricing and underpricing in the market; this is to protect the consumer’s as well as the producer’s interests. The price control mechanisms are known as the price ceilings and price floor.

The price floor is the minimum price that can be charged for the product in the market. This is to prevent the prices from going too low and making a loss to the producers and service providers. The most common price floor is the minimum wages set by the government. The laborers should be paid minimum wages when their service is rendered.

Similarly, the price ceiling is the maximum limit price that can be charged for a good or service in the market. This is to prevent the prices from going a lot higher and prevent the exploitation of consumers. The best given examples of the price ceiling includes the rent controls, price controls on gasoline in the 1970s, and the price ceilings on water during drought, and so forth.

Economics Concept Introduction

Concept introduction:

Price floor: It is the minimum legal price set for a commodity or service by the government or the authority. This is to prevent the prices from going too low.

Price ceiling: It is the government-imposed maximum price that can be charged for a good or service in the market. This is imposed in order to prevent the prices from going very high.

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Problem 3 You are given the following demand for European luxury automobiles: Q=1,000 P-0.5.2/1.6 where P-Price of European luxury cars PA = Price of American luxury cars P, Price of Japanese luxury cars I= Annual income of car buyers Assume that each of the coefficients is statistically significant (i.e., that they passed the t-test). On the basis of the information given, answer the following questions 1. Comment on the degree of substitutability between European and American luxury cars and between European and Japanese luxury cars. Explain some possible reasons for the results in the equation. 2. Comment on the coefficient for the income variable. Is this result what you would expect? Explain. 3. Comment on the coefficient of the European car price variable. Is that what you would expect? Explain.
Problem 2: A manufacturer of computer workstations gathered average monthly sales figures from its 56 branch offices and dealerships across the country and estimated the following demand for its product: Q=+15,000-2.80P+150A+0.3P+0.35Pm+0.2Pc (5,234) (1.29) (175) (0.12) (0.17) (0.13) R²=0.68 SER 786 F=21.25 The variables and their assumed values are P = Price of basic model = 7,000 Q==Quantity A = Advertising expenditures (in thousands) = 52 P = Average price of a personal computer = 4,000 P. Average price of a minicomputer = 15,000 Pe Average price of a leading competitor's workstation = 8,000 1. Compute the elasticities for each variable. On this basis, discuss the relative impact that each variable has on the demand. What implications do these results have for the firm's marketing and pricing policies? 2. Conduct a t-test for the statistical significance of each variable. In each case, state whether a one-tail or two-tail test is required. What difference, if any, does it make to…
You are the manager of a large automobile dealership who wants to learn more about the effective- ness of various discounts offered to customers over the past 14 months. Following are the average negotiated prices for each month and the quantities sold of a basic model (adjusted for various options) over this period of time. 1. Graph this information on a scatter plot. Estimate the demand equation. What do the regression results indicate about the desirability of discounting the price? Explain. Month Price Quantity Jan. 12,500 15 Feb. 12,200 17 Mar. 11,900 16 Apr. 12,000 18 May 11,800 20 June 12,500 18 July 11,700 22 Aug. 12,100 15 Sept. 11,400 22 Oct. 11,400 25 Nov. 11,200 24 Dec. 11,000 30 Jan. 10,800 25 Feb. 10,000 28 2. What other factors besides price might be included in this equation? Do you foresee any difficulty in obtaining these additional data or incorporating them in the regression analysis?
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