Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

You will find quarterly data on real GDP, employment, and average labor productivity for the past two recessions. For both cases, the data starts the

You will find quarterly data on real GDP, employment, and average labor productivity for the past two recessions. For both cases, the data starts the quarter before the onset of the recession and then ends seven quarters later as that is the last quarter for which there is data for the COVID Recession. Thus, for the Great Recession the data runs from the fourth quarter of 2007 (2007-10-01) through the third quarter of 2009 (2009-07-01) and for the COVID Recession the data runs from the fourth quarter of 2019 (2019-10-01) through the third quarter of 2021 (2021-07-01). The data are provided as indexes since you will be creating figures similar to Figures 11.32 through 11.34, but now to compare behavior across the Great Recession and the COVID Recession.

a. Create a plot that shows the index values for real GDP for both recessions. You can use the numbers provided under Quarters after Start of Recession for the values to report on the horizontal axis. Do the same for the index values for employment and for average labor productivity.

b. Based upon your plots, which recession experienced the deepest decline in real GDP and which recession experienced the quickest recovery back towards its value prior to the start of the recession? Briefly explain your reasoning.

c. Based upon your plots, which recession experienced the deepest decline in employment and which recession experienced the quickest recovery back towards its value prior to the start of the recession? Briefly explain your reasoning. d. Based upon your plots, which recession experienced the deepest decline in average labor productivity and which recession experienced the quickest recovery back towards its value prior to the start of the recession? Briefly explain your reasoning

Y N Y/N Quarters after Start of Recession
2007-10-01 100 2007-10-01 100 2007-10-01 100 0
2008-01-01 99.4252 2008-01-01 99.55091 2008-01-01 99.87372 1
2008-04-01 99.93846 2008-04-01 98.74228 2008-04-01 101.2114 2
2008-07-01 99.39728 2008-07-01 96.96695 2008-07-01 102.5064 3
2008-10-01 97.24654 2008-10-01 96.14781 2008-10-01 101.1428 4
2009-01-01 96.15468 2009-01-01 95.5306 2009-01-01 100.6533 5
2009-04-01 96.01637 2009-04-01 94.82088 2009-04-01 101.2608 6
2009-07-01 96.36594 2009-07-01 94.97301 2009-07-01 101.4667 7
Y N Y/N
2019-10-01 100 2019-10-01 100 2019-10-01 100
2020-01-01 98.69642 2020-01-01 99.43149 2020-01-01 99.26072
2020-04-01 89.87567 2020-04-01 86.76768 2020-04-01 103.582
2020-07-01 96.65907 2020-07-01 92.2135 2020-07-01 104.821
2020-10-01 97.73708 2020-10-01 94.46567 2020-10-01 103.4631
2021-01-01 99.23626 2021-01-01 94.84621 2021-01-01 104.6286
2021-04-01 100.8645 2021-04-01 95.53583 2021-04-01 105.5777
2021-07-01 101.369 2021-07-01 96.60409 2021-07-01 104.9324

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Research In Forest Economics And Forest Policy

Authors: Marion Clawson

1st Edition

1317362624, 9781317362623

More Books

Students also viewed these Economics questions

Question

Should the members of a focus group be similar or dissimilar? Why?

Answered: 1 week ago

Question

Population

Answered: 1 week ago

Question

The feeling of boredom.

Answered: 1 week ago