LaunchPad for Krugman's Macroeconomics (Six Month Access)
LaunchPad for Krugman's Macroeconomics (Six Month Access)
4th Edition
ISBN: 9781319011024
Author: Paul Krugman, Robin Wells
Publisher: Worth Publishers
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Chapter 16, Problem 11P
To determine

Concept Introduction:

Unemployment Rate: It is defined as the rate of unemployed people in an economy. All those people who are willing to work at the given wages but cannot find the job are known as unemployed. It is the ratio of the unemployed to that of the labor force in an economy

Inflation: When the price of any good increases continuously for an interval of time it is called inflation.

Phillips Curve: The curve which shows how a change in inflation is related to the unemployment rate. According to Phillips, when there is an increase in the unemployment level, then the inflation rate decreases.

Natural Rate of Unemployment: It is a rate of unemployment when the real rate of output is equal to the potential output in the economy. At such a point the economy does not have a recessionary or inflationary gap.

Supply Shock: In every economy, it is a type of sudden event that leads to a change in the supply of output for a short period of time. Supply may decrease or increase depending upon the type of shock.

Negative Supply Shock: It is a type of shock in which the aggregate supply in an economy degrades.

Disinflation: The act of reducing inflation is known as disinflation. It has a huge cost on an economy as it creates a huge unemployment and lowers the real GDP.

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Problem 3 Simple Bivariate Regression Consider the following bivariate regression model: NAMEUIN Page 1 of 2 = Hourly Wages, Bo+B₁Education; + & where Education measures the years of experience at the job for an individual and Hourly Wage is the hourly wage in dollars. The subscript i indexes various people. You run a bivariate OLS regression to estimate Bo and B₁. Suppose you estimate B = 10 and B a. 0 = 2 How do you interpret the estimates ßo and ß₁ in this context? (3 points) 1 b. Define the terms "predicted/fitted value" and "residual”. (3 points) c. Suppose that for some individual, the predicted value of Hourly Wage is $20, and the residual is 2. What is the actual Hourly wage for the individual? Show your work. (4 points) d. Suppose that some individual has 10 years of Education, and his actual hourly wage is $35. What is the predicted outcome and residual for this individual? Show your work. (5 points)
Problem 1 The Core Model Suppose you are interested in studying the effect of workers' training (measured by the number of training hours) on employee productivity (measured by output per hour). a. What is the dependent and independent variable in this setting? (2 points) b. How would you write this relationship using the Core Model? (3 points) C. Do you expect the slope coefficient ẞ₁, (which shows relation between teacher's experience and test scores) to be positive or negative? Explain your reasoning. (5 points) d. Name any two factors that are likely included in the error term of your model? (5 points)
Problem 2 Endogeneity Suppose you are interested in how social media usage affects students' academic performance. Consider the following model: GPA; = ßo + ß₁Social Media Hours; + ɛ; where GPA, is the grade point average of a student and Social Media Hours; measures how many hours the student spends on social media every week. Each student is denoted by the subscript i. a. What is the dependent variable Y in this setting? What is the independent variable X in this setting? (4 points) b. What does Bo C. What does ẞ1 = 3 mean? (2 points) = 0.2 mean? (3 points) d. What is the condition for the independent variable Social Media Hours; to be endogenous? (5 points) e. Is the independent variable likely to be endogenous? Why or why not? (3 points) f. If yes, describe a scenario where the independent variable is endogenous. (3 points)
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