people leavé the unemployment category in January. Suppose that in January the job separation rate equals 2%. That is, 2% of the people who were employed at the beginning of the month are laid off or quit. This means 1,905 ▼ people are added to the unemployment category that month. (Hint: Round your answer to the nearest whole number.) Assume the size of the labor force does not change from January to February. Considering that the job separation rate is 2% during January, and 10% of unemployed workers find new jobs, the unemployment rate at the beginning of February will be approximately 6.19% ▼ .(Hint: Round your answer to the nearest hundredth.) Generalizing from your calculations for January, if in February, the job separation rate is 2%, and 10% of unemployed workers get jobs, the unemployment rate at the end of February will Suppose that at the beginning of August, the unemployment rate is 4.76%, however, this month just 0.2% of the employed workers become unemployed. Suppose that in August, 10% of the workers who were unemployed at the beginning of the month find new jobs. The unemployment rate be at the beginning of September will be 4.76% ▼ (Hint: Round your answer to two decimal places.) Now suppose that in September, the job separation rate returns to normal: 2% of the workers who were employed at the beginning of the month become unemployed. As always, 10% of the workers who are unemployed find jobs during the month. In the last question, you calculated a lower unemployment rate for the beginning of September. Use the numbers of employed workers and unemployed workers implied by this unemployment rate to calculate how many employed workers become unemployed during September and how many unemployed workers find jobs during September. The unemployment rate at the end of September is 6%
people leavé the unemployment category in January. Suppose that in January the job separation rate equals 2%. That is, 2% of the people who were employed at the beginning of the month are laid off or quit. This means 1,905 ▼ people are added to the unemployment category that month. (Hint: Round your answer to the nearest whole number.) Assume the size of the labor force does not change from January to February. Considering that the job separation rate is 2% during January, and 10% of unemployed workers find new jobs, the unemployment rate at the beginning of February will be approximately 6.19% ▼ .(Hint: Round your answer to the nearest hundredth.) Generalizing from your calculations for January, if in February, the job separation rate is 2%, and 10% of unemployed workers get jobs, the unemployment rate at the end of February will Suppose that at the beginning of August, the unemployment rate is 4.76%, however, this month just 0.2% of the employed workers become unemployed. Suppose that in August, 10% of the workers who were unemployed at the beginning of the month find new jobs. The unemployment rate be at the beginning of September will be 4.76% ▼ (Hint: Round your answer to two decimal places.) Now suppose that in September, the job separation rate returns to normal: 2% of the workers who were employed at the beginning of the month become unemployed. As always, 10% of the workers who are unemployed find jobs during the month. In the last question, you calculated a lower unemployment rate for the beginning of September. Use the numbers of employed workers and unemployed workers implied by this unemployment rate to calculate how many employed workers become unemployed during September and how many unemployed workers find jobs during September. The unemployment rate at the end of September is 6%
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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