Econ Macro (book Only)
Econ Macro (book Only)
6th Edition
ISBN: 9781337408745
Author: William A. McEachern
Publisher: Cengage Learning
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Chapter 15, Problem 11P
To determine

The reasons for quantitative easing by the federal reserve by purchasing two trillion of financial assets, The way these purchases are reflected on Fed’s balance sheet and The reason that this quantitative easing did not increase the rate of inflation till 2015.

Concept Introduction:

Quantitative easing is similar to increase in money supply in the economy. Quantitative easing is an expansion of the open market operations by the Federal Reserve to stimulate the economy and making it easier for the businesses to borrow money. The financial crisis in the U.S. in 2007 due to the sub-prime mortgages led to the Federal Reserve to carry out quantitative easing.

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Suppose that a random sample of 216 twenty-year-old men is selected from a population and that their heights and weights are recorded. A regression of weight on height yields Weight = (-107.3628) + 4.2552 x Height, R2 = 0.875, SER = 11.0160 (2.3220) (0.3348) where Weight is measured in pounds and Height is measured in inches. A man has a late growth spurt and grows 1.6200 inches over the course of a year. Construct a confidence interval of 90% for the person's weight gain. The 90% confidence interval for the person's weight gain is ( ☐ ☐) (in pounds). (Round your responses to two decimal places.)
Suppose that (Y, X) satisfy the assumptions specified here. A random sample of n = 498 is drawn and yields Ŷ= 6.47 + 5.66X, R2 = 0.83, SER = 5.3 (3.7) (3.4) Where the numbers in parentheses are the standard errors of the estimated coefficients B₁ = 6.47 and B₁ = 5.66 respectively. Suppose you wanted to test that B₁ is zero at the 5% level. That is, Ho: B₁ = 0 vs. H₁: B₁ #0 Report the t-statistic and p-value for this test. Definition The t-statistic is (Round your response to two decimal places) ☑ The Least Squares Assumptions Y=Bo+B₁X+u, i = 1,..., n, where 1. The error term u; has conditional mean zero given X;: E (u;|X;) = 0; 2. (Y;, X¡), i = 1,..., n, are independent and identically distributed (i.i.d.) draws from i their joint distribution; and 3. Large outliers are unlikely: X; and Y, have nonzero finite fourth moments.
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