Achieve for Economics (1-Term Online)
Achieve for Economics (1-Term Online)
5th Edition
ISBN: 9781319372040
Author: KRUGMAN, Paul
Publisher: Macmillan Higher Education
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Chapter 24, Problem 13P
To determine

a.

The number of year proven oil reserves will last and explain Malthusian view on the number calculated.

Introduction: The proven oil reserves refer to the quantity of reserves of hydrocarbons that are also known as the reserves for crude oil or the natural gas. These reserves are expected to be recovered in future in the given economy in a period of time.

To determine

b.

The assumptions about the total quantity, total prices and their consistence with the Malthusian view on limited resources.

To determine

c.

The effect of years of oil reserves on the market forces if the demand and addition in reserves remains the same.

Introduction: Demand refers to the quantity of a good required in an economy in a given period of time.

Market forces refer to various factors that affect the demand or the prices or the quantity demanded of a commodity in economy in a given period of time.

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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.
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