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Suppose the production function is given by Y= zK 0.36 N 0.64 (1) Calcaute the Solow residual for each year from 1995 to 2007 (2)

Suppose the production function is given by

Y= zK0.36N 0.64

image text in transcribedimage text in transcribedimage text in transcribed(1) Calcaute the Solow residual for each year from 1995 to 2007

(2) Calculate percentage rates of grwoth in output, capital, employment, and total factor productivity for the year 1996 to 2007. Overall, what factor contributes the least to the growth in aggregate output? Do you see that the 2001 recession makes the growth of GDP slower (in other words, is the growth rate in years 2001-2007 higher or lower than the years 1996-2000)? (Note: use the log-difference to calculate the growth rates)

Please give me the detailed process and graph, thanks

Consider the following data Year Y (billons of 2005 dollars) K(billions of 2005 dollars) N(millions) 1995 9086.0 31438 124.9 1996 9425.8 32338.4 126.7 1997 9845.9 33307.7 129.6 1998 10274.7 34428 131.5 1999 10770.7 35679 133.5 2000 11216.4 36999 136.9 2001 11337.5 38164 136.9 2002 11543.1 39234 136.5 2003 11836.4 40323 137.7 2004 12246.9 41471 139.2 2005 12623 42610 141.7 2006 12958.5 43837 144.4 2007 13206.4 44949 146.1 Consider the following data Year Y (billons of 2005 dollars) K(billions of 2005 dollars) N(millions) 1995 9086.0 31438 124.9 1996 9425.8 32338.4 126.7 1997 9845.9 33307.7 129.6 1998 10274.7 34428 131.5 1999 10770.7 35679 133.5 2000 11216.4 36999 136.9 2001 11337.5 38164 136.9 2002 11543.1 39234 136.5 2003 11836.4 40323 137.7 2004 12246.9 41471 139.2 2005 12623 42610 141.7 2006 12958.5 43837 144.4 2007 13206.4 44949 146.1 Consider the following data Year Y (billons of 2005 dollars) K(billions of 2005 dollars) N(millions) 1995 9086.0 31438 124.9 1996 9425.8 32338.4 126.7 1997 9845.9 33307.7 129.6 1998 10274.7 34428 131.5 1999 10770.7 35679 133.5 2000 11216.4 36999 136.9 2001 11337.5 38164 136.9 2002 11543.1 39234 136.5 2003 11836.4 40323 137.7 2004 12246.9 41471 139.2 2005 12623 42610 141.7 2006 12958.5 43837 144.4 2007 13206.4 44949 146.1 Consider the following data Year Y (billons of 2005 dollars) K(billions of 2005 dollars) N(millions) 1995 9086.0 31438 124.9 1996 9425.8 32338.4 126.7 1997 9845.9 33307.7 129.6 1998 10274.7 34428 131.5 1999 10770.7 35679 133.5 2000 11216.4 36999 136.9 2001 11337.5 38164 136.9 2002 11543.1 39234 136.5 2003 11836.4 40323 137.7 2004 12246.9 41471 139.2 2005 12623 42610 141.7 2006 12958.5 43837 144.4 2007 13206.4 44949 146.1 Consider the following data Year Y (billons of 2005 dollars) K(billions of 2005 dollars) N(millions) 1995 9086.0 31438 124.9 1996 9425.8 32338.4 126.7 1997 9845.9 33307.7 129.6 1998 10274.7 34428 131.5 1999 10770.7 35679 133.5 2000 11216.4 36999 136.9 2001 11337.5 38164 136.9 2002 11543.1 39234 136.5 2003 11836.4 40323 137.7 2004 12246.9 41471 139.2 2005 12623 42610 141.7 2006 12958.5 43837 144.4 2007 13206.4 44949 146.1 Consider the following data Year Y (billons of 2005 dollars) K(billions of 2005 dollars) N(millions) 1995 9086.0 31438 124.9 1996 9425.8 32338.4 126.7 1997 9845.9 33307.7 129.6 1998 10274.7 34428 131.5 1999 10770.7 35679 133.5 2000 11216.4 36999 136.9 2001 11337.5 38164 136.9 2002 11543.1 39234 136.5 2003 11836.4 40323 137.7 2004 12246.9 41471 139.2 2005 12623 42610 141.7 2006 12958.5 43837 144.4 2007 13206.4 44949 146.1

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