Macroeconomics
10th Edition
ISBN: 9780134896441
Author: ABEL, Andrew B., BERNANKE, Ben, CROUSHORE, Dean Darrell
Publisher: PEARSON
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Question
Chapter 2, Problem 6WWMD
b)
To determine
The graphical representation of quarterly growth rates of real
b)
Expert Solution
Explanation of Solution
The data of quarterly growth rates of real GDP from 1960 to last year using the percent change from a year ago is as follows:
| Date | GDP, percentage change from quarter one year ago. |
| 1960-01-01 | 4.9 |
| 1960-04-01 | 2.1 |
| 1960-07-01 | 2.5 |
| 1960-10-01 | 0.9 |
| 1961-01-01 | -0.7 |
| 1961-04-01 | 1.6 |
| 1961-07-01 | 3.0 |
| 1961-10-01 | 6.4 |
| 1962-01-01 | 7.6 |
| 1962-04-01 | 6.7 |
| 1962-07-01 | 6.0 |
| 1962-10-01 | 4.3 |
| 1963-01-01 | 3.6 |
| 1963-04-01 | 3.8 |
| 1963-07-01 | 4.8 |
| 1963-10-01 | 5.2 |
| 1964-01-01 | 6.2 |
| 1964-04-01 | 6.2 |
| 1964-07-01 | 5.5 |
| 1964-10-01 | 5.2 |
| 1965-01-01 | 5.5 |
| 1965-04-01 | 5.7 |
| 1965-07-01 | 6.3 |
| 1965-10-01 | 8.5 |
| 1966-01-01 | 8.5 |
| 1966-04-01 | 7.5 |
| 1966-07-01 | 6.0 |
| 1966-10-01 | 4.5 |
| 1967-01-01 | 2.9 |
| 1967-04-01 | 2.6 |
| 1967-07-01 | 2.7 |
| 1967-10-01 | 2.7 |
| 1968-01-01 | 3.8 |
| 1968-04-01 | 5.5 |
| 1968-07-01 | 5.3 |
| 1968-10-01 | 5.0 |
| 1969-01-01 | 4.5 |
| 1969-04-01 | 3.1 |
| 1969-07-01 | 3.0 |
| 1969-10-01 | 2.0 |
| 1970-01-01 | 0.3 |
| 1970-04-01 | 0.2 |
| 1970-07-01 | 0.4 |
| 1970-10-01 | -0.2 |
| 1971-01-01 | 2.7 |
| 1971-04-01 | 3.1 |
| 1971-07-01 | 3.0 |
| 1971-10-01 | 4.4 |
| 1972-01-01 | 3.5 |
| 1972-04-01 | 5.3 |
| 1972-07-01 | 5.4 |
| 1972-10-01 | 6.9 |
| 1973-01-01 | 7.6 |
| 1973-04-01 | 6.3 |
| 1973-07-01 | 4.8 |
| 1973-10-01 | 4.0 |
| 1974-01-01 | 0.6 |
| 1974-04-01 | -0.2 |
| 1974-07-01 | -0.6 |
| 1974-10-01 | -1.9 |
| 1975-01-01 | -2.3 |
| 1975-04-01 | -1.8 |
| 1975-07-01 | 0.8 |
| 1975-10-01 | 2.6 |
| 1976-01-01 | 6.2 |
| 1976-04-01 | 6.2 |
| 1976-07-01 | 5.0 |
| 1976-10-01 | 4.3 |
| 1977-01-01 | 3.2 |
| 1977-04-01 | 4.5 |
| 1977-07-01 | 5.8 |
| 1977-10-01 | 5.0 |
| 1978-01-01 | 4.1 |
| 1978-04-01 | 6.1 |
| 1978-07-01 | 5.2 |
| 1978-10-01 | 6.7 |
| 1979-01-01 | 6.5 |
| 1979-04-01 | 2.7 |
| 1979-07-01 | 2.4 |
| 1979-10-01 | 1.3 |
| 1980-01-01 | 1.4 |
| 1980-04-01 | -0.8 |
| 1980-07-01 | -1.6 |
| 1980-10-01 | 0.0 |
| 1981-01-01 | 1.6 |
| 1981-04-01 | 3.0 |
| 1981-07-01 | 4.3 |
| 1981-10-01 | 1.3 |
| 1982-01-01 | -2.2 |
| 1982-04-01 | -1.0 |
| 1982-07-01 | -2.6 |
| 1982-10-01 | -1.4 |
| 1983-01-01 | 1.4 |
| 1983-04-01 | 3.3 |
| 1983-07-01 | 5.7 |
| 1983-10-01 | 7.9 |
| 1984-01-01 | 8.6 |
| 1984-04-01 | 8.0 |
| 1984-07-01 | 6.9 |
| 1984-10-01 | 5.6 |
| 1985-01-01 | 4.6 |
| 1985-04-01 | 3.7 |
| 1985-07-01 | 4.3 |
| 1985-10-01 | 4.2 |
| 1986-01-01 | 4.1 |
| 1986-04-01 | 3.7 |
| 1986-07-01 | 3.1 |
| 1986-10-01 | 2.9 |
| 1987-01-01 | 2.7 |
| 1987-04-01 | 3.4 |
| 1987-07-01 | 3.3 |
| 1987-10-01 | 4.5 |
| 1988-01-01 | 4.2 |
| 1988-04-01 | 4.5 |
| 1988-07-01 | 4.2 |
| 1988-10-01 | 3.8 |
| 1989-01-01 | 4.3 |
| 1989-04-01 | 3.7 |
| 1989-07-01 | 3.9 |
| 1989-10-01 | 2.7 |
| 1990-01-01 | 2.8 |
| 1990-04-01 | 2.4 |
| 1990-07-01 | 1.7 |
| 1990-10-01 | 0.6 |
| 1991-01-01 | -1.0 |
| 1991-04-01 | -0.5 |
| 1991-07-01 | -0.1 |
| 1991-10-01 | 1.2 |
| 1992-01-01 | 2.9 |
| 1992-04-01 | 3.2 |
| 1992-07-01 | 3.7 |
| 1992-10-01 | 4.4 |
| 1993-01-01 | 3.3 |
| 1993-04-01 | 2.8 |
| 1993-07-01 | 2.3 |
| 1993-10-01 | 2.6 |
| 1994-01-01 | 3.4 |
| 1994-04-01 | 4.2 |
| 1994-07-01 | 4.3 |
| 1994-10-01 | 4.1 |
| 1995-01-01 | 3.5 |
| 1995-04-01 | 2.4 |
| 1995-07-01 | 2.7 |
| 1995-10-01 | 2.2 |
| 1996-01-01 | 2.6 |
| 1996-04-01 | 4.0 |
| 1996-07-01 | 4.1 |
| 1996-10-01 | 4.4 |
| 1997-01-01 | 4.3 |
| 1997-04-01 | 4.3 |
| 1997-07-01 | 4.7 |
| 1997-10-01 | 4.5 |
| 1998-01-01 | 4.9 |
| 1998-04-01 | 4.1 |
| 1998-07-01 | 4.1 |
| 1998-10-01 | 4.9 |
| 1999-01-01 | 4.8 |
| 1999-04-01 | 4.7 |
| 1999-07-01 | 4.7 |
| 1999-10-01 | 4.8 |
| 2000-01-01 | 4.2 |
| 2000-04-01 | 5.3 |
| 2000-07-01 | 4.1 |
| 2000-10-01 | 3.0 |
| 2001-01-01 | 2.3 |
| 2001-04-01 | 1.1 |
| 2001-07-01 | 0.5 |
| 2001-10-01 | 0.2 |
| 2002-01-01 | 1.3 |
| 2002-04-01 | 1.3 |
| 2002-07-01 | 2.2 |
| 2002-10-01 | 2.1 |
| 2003-01-01 | 1.8 |
| 2003-04-01 | 2.0 |
| 2003-07-01 | 3.3 |
| 2003-10-01 | 4.3 |
| 2004-01-01 | 4.3 |
| 2004-04-01 | 4.2 |
| 2004-07-01 | 3.4 |
| 2004-10-01 | 3.3 |
| 2005-01-01 | 3.9 |
| 2005-04-01 | 3.6 |
| 2005-07-01 | 3.5 |
| 2005-10-01 | 3.1 |
| 2006-01-01 | 3.4 |
| 2006-04-01 | 3.1 |
| 2006-07-01 | 2.4 |
| 2006-10-01 | 2.6 |
| 2007-01-01 | 1.5 |
| 2007-04-01 | 1.8 |
| 2007-07-01 | 2.2 |
| 2007-10-01 | 2.0 |
| 2008-01-01 | 1.1 |
| 2008-04-01 | 1.1 |
| 2008-07-01 | 0.0 |
| 2008-10-01 | -2.8 |
| 2009-01-01 | -3.3 |
| 2009-04-01 | -3.9 |
| 2009-07-01 | -3.0 |
| 2009-10-01 | 0.2 |
| 2010-01-01 | 1.7 |
| 2010-04-01 | 2.8 |
| 2010-07-01 | 3.2 |
| 2010-10-01 | 2.6 |
| 2011-01-01 | 1.9 |
| 2011-04-01 | 1.7 |
| 2011-07-01 | 0.9 |
| 2011-10-01 | 1.6 |
| 2012-01-01 | 2.7 |
| 2012-04-01 | 2.4 |
| 2012-07-01 | 2.5 |
| 2012-10-01 | 1.5 |
| 2013-01-01 | 1.6 |
| 2013-04-01 | 1.3 |
| 2013-07-01 | 1.9 |
| 2013-10-01 | 2.6 |
| 2014-01-01 | 1.4 |
| 2014-04-01 | 2.7 |
| 2014-07-01 | 3.1 |
| 2014-10-01 | 2.9 |
| 2015-01-01 | 4.0 |
| 2015-04-01 | 3.3 |
| 2015-07-01 | 2.4 |
| 2015-10-01 | 1.9 |
| 2016-01-01 | 1.6 |
| 2016-04-01 | 1.3 |
| 2016-07-01 | 1.6 |
| 2016-10-01 | 2.0 |
| 2017-01-01 | 2.1 |
| 2017-04-01 | 2.2 |
| 2017-07-01 | 2.4 |
| 2017-10-01 | 2.8 |
| 2018-01-01 | 2.9 |
c)
To determine
The graphical representation of quarterly growth rates of real GDP from 1960 to last year using the percent change from preceding period quarterly. To ascertain the least volatile and most volatile measure, and the differences between these three series.
c)
Expert Solution
Explanation of Solution
The data of quarterly growth rates of real GDP from 1960 to last year using the percent change from preceding period quarterly is as follows:
| Date | GDP percent change from preceding period, quarterly |
| 1960-04-01 | -2.1 |
| 1960-07-01 | 2.0 |
| 1960-10-01 | -5.0 |
| 1961-01-01 | 2.7 |
| 1961-04-01 | 7.0 |
| 1961-07-01 | 7.9 |
| 1961-10-01 | 8.1 |
| 1962-01-01 | 7.3 |
| 1962-04-01 | 3.7 |
| 1962-07-01 | 5.0 |
| 1962-10-01 | 1.3 |
| 1963-01-01 | 4.4 |
| 1963-04-01 | 4.6 |
| 1963-07-01 | 9.1 |
| 1963-10-01 | 2.6 |
| 1964-01-01 | 8.7 |
| 1964-04-01 | 4.4 |
| 1964-07-01 | 6.4 |
| 1964-10-01 | 1.2 |
| 1965-01-01 | 10.0 |
| 1965-04-01 | 5.1 |
| 1965-07-01 | 9.2 |
| 1965-10-01 | 9.5 |
| 1966-01-01 | 10.1 |
| 1966-04-01 | 1.4 |
| 1966-07-01 | 3.4 |
| 1966-10-01 | 3.3 |
| 1967-01-01 | 3.6 |
| 1967-04-01 | 0.2 |
| 1967-07-01 | 3.8 |
| 1967-10-01 | 3.0 |
| 1968-01-01 | 8.4 |
| 1968-04-01 | 6.9 |
| 1968-07-01 | 3.1 |
| 1968-10-01 | 1.6 |
| 1969-01-01 | 6.4 |
| 1969-04-01 | 1.2 |
| 1969-07-01 | 2.7 |
| 1969-10-01 | -1.9 |
| 1970-01-01 | -0.6 |
| 1970-04-01 | 0.6 |
| 1970-07-01 | 3.7 |
| 1970-10-01 | -4.2 |
| 1971-01-01 | 11.3 |
| 1971-04-01 | 2.2 |
| 1971-07-01 | 3.3 |
| 1971-10-01 | 0.9 |
| 1972-01-01 | 7.6 |
| 1972-04-01 | 9.4 |
| 1972-07-01 | 3.8 |
| 1972-10-01 | 6.9 |
| 1973-01-01 | 10.3 |
| 1973-04-01 | 4.4 |
| 1973-07-01 | -2.1 |
| 1973-10-01 | 3.8 |
| 1974-01-01 | -3.4 |
| 1974-04-01 | 1.0 |
| 1974-07-01 | -3.7 |
| 1974-10-01 | -1.5 |
| 1975-01-01 | -4.8 |
| 1975-04-01 | 2.9 |
| 1975-07-01 | 7.0 |
| 1975-10-01 | 5.5 |
| 1976-01-01 | 9.3 |
| 1976-04-01 | 3.0 |
| 1976-07-01 | 2.2 |
| 1976-10-01 | 2.9 |
| 1977-01-01 | 4.8 |
| 1977-04-01 | 8.0 |
| 1977-07-01 | 7.4 |
| 1977-10-01 | 0.0 |
| 1978-01-01 | 1.3 |
| 1978-04-01 | 16.4 |
| 1978-07-01 | 4.1 |
| 1978-10-01 | 5.5 |
| 1979-01-01 | 0.7 |
| 1979-04-01 | 0.4 |
| 1979-07-01 | 3.0 |
| 1979-10-01 | 1.0 |
| 1980-01-01 | 1.3 |
| 1980-04-01 | -8.0 |
| 1980-07-01 | -0.5 |
| 1980-10-01 | 7.7 |
| 1981-01-01 | 8.1 |
| 1981-04-01 | -2.9 |
| 1981-07-01 | 4.9 |
| 1981-10-01 | -4.3 |
| 1982-01-01 | -6.1 |
| 1982-04-01 | 1.8 |
| 1982-07-01 | -1.5 |
| 1982-10-01 | 0.2 |
| 1983-01-01 | 5.4 |
| 1983-04-01 | 9.4 |
| 1983-07-01 | 8.2 |
| 1983-10-01 | 8.6 |
| 1984-01-01 | 8.1 |
| 1984-04-01 | 7.1 |
| 1984-07-01 | 3.9 |
| 1984-10-01 | 3.3 |
| 1985-01-01 | 3.9 |
| 1985-04-01 | 3.6 |
| 1985-07-01 | 6.2 |
| 1985-10-01 | 3.0 |
| 1986-01-01 | 3.8 |
| 1986-04-01 | 1.8 |
| 1986-07-01 | 3.9 |
| 1986-10-01 | 2.2 |
| 1987-01-01 | 3.0 |
| 1987-04-01 | 4.4 |
| 1987-07-01 | 3.5 |
| 1987-10-01 | 7.0 |
| 1988-01-01 | 2.1 |
| 1988-04-01 | 5.4 |
| 1988-07-01 | 2.4 |
| 1988-10-01 | 5.4 |
| 1989-01-01 | 4.1 |
| 1989-04-01 | 3.1 |
| 1989-07-01 | 3.0 |
| 1989-10-01 | 0.8 |
| 1990-01-01 | 4.4 |
| 1990-04-01 | 1.5 |
| 1990-07-01 | 0.3 |
| 1990-10-01 | -3.6 |
| 1991-01-01 | -1.9 |
| 1991-04-01 | 3.2 |
| 1991-07-01 | 2.0 |
| 1991-10-01 | 1.4 |
| 1992-01-01 | 4.9 |
| 1992-04-01 | 4.4 |
| 1992-07-01 | 4.0 |
| 1992-10-01 | 4.2 |
| 1993-01-01 | 0.7 |
| 1993-04-01 | 2.3 |
| 1993-07-01 | 1.9 |
| 1993-10-01 | 5.6 |
| 1994-01-01 | 3.9 |
| 1994-04-01 | 5.5 |
| 1994-07-01 | 2.4 |
| 1994-10-01 | 4.7 |
| 1995-01-01 | 1.4 |
| 1995-04-01 | 1.2 |
| 1995-07-01 | 3.5 |
| 1995-10-01 | 2.7 |
| 1996-01-01 | 3.0 |
| 1996-04-01 | 6.8 |
| 1996-07-01 | 3.6 |
| 1996-10-01 | 4.2 |
| 1997-01-01 | 2.6 |
| 1997-04-01 | 6.8 |
| 1997-07-01 | 5.1 |
| 1997-10-01 | 3.5 |
| 1998-01-01 | 4.1 |
| 1998-04-01 | 3.8 |
| 1998-07-01 | 5.1 |
| 1998-10-01 | 6.6 |
| 1999-01-01 | 3.8 |
| 1999-04-01 | 3.1 |
| 1999-07-01 | 5.3 |
| 1999-10-01 | 7.0 |
| 2000-01-01 | 1.5 |
| 2000-04-01 | 7.5 |
| 2000-07-01 | 0.5 |
| 2000-10-01 | 2.5 |
| 2001-01-01 | -1.1 |
| 2001-04-01 | 2.4 |
| 2001-07-01 | -1.7 |
| 2001-10-01 | 1.1 |
| 2002-01-01 | 3.5 |
| 2002-04-01 | 2.4 |
| 2002-07-01 | 1.8 |
| 2002-10-01 | 0.6 |
| 2003-01-01 | 2.2 |
| 2003-04-01 | 3.5 |
| 2003-07-01 | 7.0 |
| 2003-10-01 | 4.7 |
| 2004-01-01 | 2.2 |
| 2004-04-01 | 3.1 |
| 2004-07-01 | 3.8 |
| 2004-10-01 | 4.1 |
| 2005-01-01 | 4.5 |
| 2005-04-01 | 1.9 |
| 2005-07-01 | 3.6 |
| 2005-10-01 | 2.6 |
| 2006-01-01 | 5.4 |
| 2006-04-01 | 0.9 |
| 2006-07-01 | 0.6 |
| 2006-10-01 | 3.5 |
| 2007-01-01 | 0.9 |
| 2007-04-01 | 2.3 |
| 2007-07-01 | 2.2 |
| 2007-10-01 | 2.5 |
| 2008-01-01 | -2.3 |
| 2008-04-01 | 2.1 |
| 2008-07-01 | -2.1 |
| 2008-10-01 | -8.4 |
| 2009-01-01 | -4.4 |
| 2009-04-01 | -0.6 |
| 2009-07-01 | 1.5 |
| 2009-10-01 | 4.5 |
| 2010-01-01 | 1.5 |
| 2010-04-01 | 3.7 |
| 2010-07-01 | 3.0 |
| 2010-10-01 | 2.0 |
| 2011-01-01 | -1.0 |
| 2011-04-01 | 2.9 |
| 2011-07-01 | -0.1 |
| 2011-10-01 | 4.7 |
| 2012-01-01 | 3.2 |
| 2012-04-01 | 1.7 |
| 2012-07-01 | 0.5 |
| 2012-10-01 | 0.5 |
| 2013-01-01 | 3.6 |
| 2013-04-01 | 0.5 |
| 2013-07-01 | 3.2 |
| 2013-10-01 | 3.2 |
| 2014-01-01 | -1.1 |
| 2014-04-01 | 5.5 |
| 2014-07-01 | 5.0 |
| 2014-10-01 | 2.3 |
| 2015-01-01 | 3.2 |
| 2015-04-01 | 3.0 |
| 2015-07-01 | 1.3 |
| 2015-10-01 | 0.1 |
| 2016-01-01 | 2.0 |
| 2016-04-01 | 1.9 |
| 2016-07-01 | 2.2 |
| 2016-10-01 | 2.0 |
| 2017-01-01 | 2.3 |
| 2017-04-01 | 2.2 |
| 2017-07-01 | 3.2 |
| 2017-10-01 | 3.5 |
| 2018-01-01 | 2.5 |
| 2018-04-01 | 3.5 |
The graphical representation of the quarterly growth rates of real GDP from 1960 to 2018 using the percent change from the previous quarter is as follows:
The quarterly percent change at the annual rate indicates the percent change, if the quarterly rate goes on for four quarters. It is calculated by compounding of quarterly rate for four quarters.
For some unpredictable quarterly series, percentage changes at quarterly rates rather than at annual rates are preferred because the question of comparability is less relevant and because the annual rate of change is smaller.
When these three data and their respective graph compare to each other for some specific successive period of time, following result is determined:
- 2nd one that is, GDP growth rate using percentage change from quarter one year ago is most volatile and 3rd way that is, GDP growth rate by using percent change from preceding period quarterly is least volatile.
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Go to these links:
https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?end=2018&start=2000
https://data.worldbank.org/indicator/NY.GDP.DEFL.ZS?end=2018&start=2000
Choose the time range from 2010 to 2018. Pick one country and calculate real GDP for this country using the statistics for each year from the links. Discuss why real GDP is more appropriate for the economic analysis.
The following table shows data on a hypothetical
country's real GDP from 1970 through 1978: Year Real
GDP (Billions of Dollars
) 1970 368 1971 380 1972 384 1973 392 1974 408 1975
The green line on the following graph shows the
economy's long-term growth trend. Use the blue
points (circle symbol) to plot the real GDP in each of the
years listed. (Note: Plot your points in the order in which
you would like them connected. Line segments will
connect the points automatically.) Next, place the black
point (plus symbol) on the graph to indicate the point
on the real GDP curve that definitely represents a peak.
Finally, place the grey point (star symbol) on the graph
to indicate the point on the real GDP curve that
definitely represents a trough. Real GDP Peak Trough
1970 1971 1972 1973 1974 1975 1976 1977 1978 440 4
REAL GDP (Billions of dollars) YEAR Growth trend
Calculate the percentage change in real GDP in each of
the years shown. (Hint: The percentage change in real
GDP equals the…
In the box on New Zealand, we derived an equation showing how the IIP changes over time: IIPt+ 1 = 11 + r2IIPt + NXt. Show that if g = (GDPt + 1 - GDPt) > GDPt is the growth rate of nominal output (GDP), and lower-case variables denote ratios to nominal GDP (as in the chapter), we can express this same equation in the form: Use this expression to find the ratio of net exports to GDP that holds the IIP to GDP ratio iip constant over time.
Chapter 2 Solutions
Macroeconomics
Ch. 2 - Prob. 1RQCh. 2 - Prob. 2RQCh. 2 - Prob. 3RQCh. 2 - Prob. 4RQCh. 2 - Prob. 5RQCh. 2 - Prob. 6RQCh. 2 - Prob. 7RQCh. 2 - Prob. 8RQCh. 2 - Prob. 9RQCh. 2 - Prob. 10RQ
Ch. 2 - Prob. 1NPCh. 2 - Prob. 2NPCh. 2 - Prob. 3NPCh. 2 - Prob. 4NPCh. 2 - Prob. 5NPCh. 2 - Prob. 6NPCh. 2 - Prob. 7NPCh. 2 - Prob. 8NPCh. 2 - Prob. 9NPCh. 2 - Prob. 1APCh. 2 - Prob. 2APCh. 2 - Prob. 3APCh. 2 - Prob. 1WWMDCh. 2 - Prob. 2WWMDCh. 2 - Prob. 3WWMDCh. 2 - Prob. 4WWMDCh. 2 - Prob. 5WWMDCh. 2 - Prob. 6WWMD
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- Macroeconomics analyzes the growth in production, employment and income of a country in relation to the rhythm of the aggregate expenditure of the society and how it is affected by the particular problems of each yeararrow_forwardc) The production and prices of T-Shirts and Jeans in Fashion Land in 2020 and 2021 are as follows: Quantity of T- Quantity of Price of T- Price of Shirts Jeans Shirts Jeans (thousands) (thousands) 2020 10 $25 10 $60 2021 15 $30 12 $70 Taking 2020 as the base year, calculate the: i) Nominal GDP in 2021 ii) Real GDP in 2020 and 2021 i) Real GDP Growth Rate in 2021 iv) Nominal GDP per Capita in 2021 if the population is 550.arrow_forwardAn economy produces three products, bags, computers and shirts. The prices and quantities of these products in 2020 and 2021 are shown in the table below: 2020 2021 Price Price Quantity Quantity 300 $10 $12 330 Bags Computers $600 100 $650 110 Shirts $18 2,000 $20 2,200 2020 2021 Measure the nominal and real GDP for 2019 and 2020, using 2020 as the base year. Measure the nominal and real GDP growth rate in 2021. Which value is more accurate in measuring the growth rate of the economy? Explain. (b) The information on price and quantity of three products consumed by a typical household in the year 2020 and 2021 is given by the table below 2020 2021 Price Quantity Price 10 Quantity $5 $5.50 12 Fish Beef $10 5 $11 4 Train Ride $8 20 $9 22 Using 2020 as the base year, measure the CPI for 2021 and the inflation rate in 2021. Does this inflation rate correctly measure the cost of living changes for households in 2021? Explain.arrow_forward
- Economists often are interested in percentage change from one period to the next. The percentage rate of change of gross domestic product (GDP) is an important macroeconomic variable. If in 2010 GDP was $11,150 billion dollars, and GDP increased to $11,766 billion in 2011, what is the growth rate of the U.S. economy in 2011? %. (Enter your response rounded to one decimal place.)arrow_forwardHand written solutions are strictly prohibited.arrow_forwardSuppose an economy that produces and consumes apples, bread, and toy-cars. In the following table are data for two different years. 2019 2020 Good Quantity Price Quantity Price Apples 50 Rs.50 60 Rs.60 Bread 200 Rs. 20 180 Rs.25 Cars 25 Rs. 100 30 Rs.140 a. Using 2019 as the base year, compute the following statistics for 2019 and 2020 in the table given below: Statistics 2018 2019 GROSS DOMESTIC PRODUCT Nominal GDP Real GDP GROWTH RATE Growth Rate of Nominal GDP Growth Rate of Real GDP PRICE INDICES GDP deflator Inflation rate using GDP deflator - CPI (a fixed-weight price index) Inflation rate using CPI b. How much did the cost of living rise between 2018 and 2019? Compare the answers given by GDP deflator and CPI. Explain the difference. c. Explain which price index (GDP deflator or CPI) should be used to adjust the salaries, budget or spending to counterbalance the changes in the cost of living? Why?arrow_forward
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