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Economics of Public Issues (19th Edition)
19th Edition
ISBN: 9780134018973
Author: Roger LeRoy Miller, Daniel K. Benjamin, Douglass C. North
Publisher: PEARSON
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Question
Chapter 12, Problem 4DQ
To determine
The way by which social sites have made us economically and psychologically richer, and the implication of following famous and renowned people on social sites.
Concept introduction:
Inequality:
Inequality is a type of discrimination based on income and other aspects of an individual. According to Karl Marx, the inequality of income has increased in the market because labors are exploited at an extreme level. Hence, the rich becomes richer and the poor becomes poorer, thereby widening the inequality gap.
Explanation:
- Today at no cost, one can call one’s friend and family on social sites. This has made one psychologically rich because people have started bonding nicely. However, this has not made one economically effluent. To become economically rich, one must have higher purchasing ability in an economy.
- Similarly, by following big and famous people one can inspire other people to be like them, which is considered to be a good practice. The benefit associated with such practice is more than that of the cost, so the people are better off.
Expert Solution & Answer
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Students have asked these similar questions
Using data from 1988 for houses sold in Andover, Massachusetts, from Kiel and McClain
(1995), the following equation relates housing price (price) to the distance from a recently
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n = 135, R2 = 0.162.
Interpretation of the slope coefficient?
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If GDP goes up by 1% and the investment component of GDPgoes up by more than 1%, how is the investment share ofGDP changing in absolute terms?▶ In economics, what else is expressed as relative percentagechanges?
CEO Salary and Firm SalesWe can estimate a constant elasticity model relating CEO salary to firm sales. The data set is the same one used in Example 2.3, except we now relate salary to sales. Let sales be annual firm sales, measured in millions of dollars. A constant elasticity model is[2.45]ßßlog (salary) = ß0 + ß0log (sales) + u,where ß1 is the elasticity of salary with respect to sales. This model falls under the simple regression model by defining the dependent variable to be y = log(salary) and the independent variable to be x = log1sales2. Estimating this equation by OLS gives[2.46]log (salary)^=4.822 + 0.257 (sales) n = 209, R2 = 0.211.The coefficient of log(sales) is the estimated elasticity of salary with respect to sales. It implies that a 1% increase in firm sales increases CEO salary by about 0.257%—the usual interpretation of an elasticity.
Chapter 12 Solutions
Economics of Public Issues (19th Edition)
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