Question 2) The following regression model will be estimated according to the data of real consumption expenditure (C), real disposable income (Yd), real wealth (W) and real interest rate (1) in the USA for the period 1947-2019. In C = B1 + B2 ln Yd + B3 In We + B4lt + u¢

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

https://drive.google.com/file/d/1uEUR-_jyEzTegDw-2zgMAOFfX52lRHrN/view?usp=sharing

Year
C
Yd
W
1947
976,40
1035,20
5166,82
10,35
1948
998,10
1090,00
5280,76
4,72
1025,30
1090,90
1949
1095,60
5607,35
1,04
1950
1192,70
5759,52
0,41
1951
1107,10
1227,00
6086,06
5,28
1952
1142,40
1266,80
6243,86
0,28
1953
1197,20
1327,50
6355,61
0,56
1954
1221,90
1344,00
6797,03
0,14
1955
1310,40
1433,80
7172,24
0,26
1956
1348,80
1502,30
7375,18
0,74
1957
1381,80
1539,50
7315,29
0,26
1958
1393,00
1553,70
7869,98
0,57
1959
1470,70
1623,80
8188,05
2,30
1960
1510,80
1664,80 8351,76
1,51
1961
1541,20
1720,00
8971,87
1,30
1962
1617,30
1803,50
9091,55
1,40
1963
1684,00
1871,50
9436,10
2,06
1964
1784,80
2006,90 10003,40
2,03
1965
1897,60
2131,00 10562,81
2,11
1966
2006,10
2244,60 10522,04
2,02
1967
2066,20
2340,50 11312,07
1,21
1968
2184,20
2448,20 12145,41
1,05
1969
2264,80
2524,30 11672,25
1,73
1970
2317,50
2630,00 11650,04
1,17
1971
2405,20
2745,30 12312,92
0,71
1972
2550,50
2874,30 13499,92
0,16
1973
2675,90
3072,30 13080,96
1,41
1974
2653,70
3051,90 11868,79
1,04
1975
2710,90
3108,50 12634,36
3,53
1976
2868,90
3243,50 13456,78
0,66
1977
2992,10
3360,70 13786,31
1,19
1978
3124,70
3527,50 14450,50
0,11
1979
3203,20
3628,60 15340,00
1,70
1980
3193,00
3658,00 15964,95
2,30
1981
3236,00
3741,10 15964,99
4,70
1982
3275,50
3791,70 16312,51
4,45
1983
3454,30
3906,90 16944,85
4,69
1984
3640,60
4207,60 17526,75
5,85
1985
3820,90
4347,80 19068,35
4,33
1986
3981,20 4486,60 20530,04
3,77
1987
4113,40
4582,50 21235,69
2,82
1988
4279,50
4784,10 22331,99
3,29
1989
4393,70 4906,50 23659,80
4,32
1990
4474,50
5014,20 23105,13
3,60
1991
4466,60
5033,00 24050,21
1,80
1992
4594,50
5189,30 24418,20
1,01
5261,30 25092,33
5397,20 25218,60
1993
4748,90
0,62
1994
4928,10
2,21
1995
5075,60
5539,10 27439,73
3,33
1996
5237,50
5677,70 29448,19
3,08
1997
5423,90
5683,70
5854,50 32664,07
3,12
1998
6168,60 35587,02
3,58
1999
5968,40
6320,00 39591,26
3,25
2000
6257,80
6539,20 38167,72
3,58
2001
6251,81
6572,80 39908,77
3,70
2002
6432,27
6728,96 41639,29
3,88
2003
6612,73
6885,12 43369,80
4,05
2004
6793,19
7041,28 45100,32
4,23
2005
6973,65
7197,45 46830,83
4,40
2006
7154,12 7353,61 48561,35
4,58
2007
7334,58
7509,77 50291,86
4,75
2008
7468,42
7635,29 52025,01
4,92
2009
7633,35
7781,24 53756,40
5,09
2010
7798,27
7927,19 55487,80
5,26
2011
7963,19
8073,13 57219,19
5,43
2012
8128,12
8219,08 58950,58
5,60
2013
8293,04
8365,03 60681,98
5,77
2014
8457,97
8510,98 62413,37
5,95
2015
8622,89
8656,93 64144,76
6,12
2016
8787,81
8802,88 65876,16
6,29
2017
8952,74
8948,82 67607,55
6,46
2018
9117,66
9094,77 69338,94
6,63
2019
9282,58
9240,72 71070,34
6,80
Transcribed Image Text:Year C Yd W 1947 976,40 1035,20 5166,82 10,35 1948 998,10 1090,00 5280,76 4,72 1025,30 1090,90 1949 1095,60 5607,35 1,04 1950 1192,70 5759,52 0,41 1951 1107,10 1227,00 6086,06 5,28 1952 1142,40 1266,80 6243,86 0,28 1953 1197,20 1327,50 6355,61 0,56 1954 1221,90 1344,00 6797,03 0,14 1955 1310,40 1433,80 7172,24 0,26 1956 1348,80 1502,30 7375,18 0,74 1957 1381,80 1539,50 7315,29 0,26 1958 1393,00 1553,70 7869,98 0,57 1959 1470,70 1623,80 8188,05 2,30 1960 1510,80 1664,80 8351,76 1,51 1961 1541,20 1720,00 8971,87 1,30 1962 1617,30 1803,50 9091,55 1,40 1963 1684,00 1871,50 9436,10 2,06 1964 1784,80 2006,90 10003,40 2,03 1965 1897,60 2131,00 10562,81 2,11 1966 2006,10 2244,60 10522,04 2,02 1967 2066,20 2340,50 11312,07 1,21 1968 2184,20 2448,20 12145,41 1,05 1969 2264,80 2524,30 11672,25 1,73 1970 2317,50 2630,00 11650,04 1,17 1971 2405,20 2745,30 12312,92 0,71 1972 2550,50 2874,30 13499,92 0,16 1973 2675,90 3072,30 13080,96 1,41 1974 2653,70 3051,90 11868,79 1,04 1975 2710,90 3108,50 12634,36 3,53 1976 2868,90 3243,50 13456,78 0,66 1977 2992,10 3360,70 13786,31 1,19 1978 3124,70 3527,50 14450,50 0,11 1979 3203,20 3628,60 15340,00 1,70 1980 3193,00 3658,00 15964,95 2,30 1981 3236,00 3741,10 15964,99 4,70 1982 3275,50 3791,70 16312,51 4,45 1983 3454,30 3906,90 16944,85 4,69 1984 3640,60 4207,60 17526,75 5,85 1985 3820,90 4347,80 19068,35 4,33 1986 3981,20 4486,60 20530,04 3,77 1987 4113,40 4582,50 21235,69 2,82 1988 4279,50 4784,10 22331,99 3,29 1989 4393,70 4906,50 23659,80 4,32 1990 4474,50 5014,20 23105,13 3,60 1991 4466,60 5033,00 24050,21 1,80 1992 4594,50 5189,30 24418,20 1,01 5261,30 25092,33 5397,20 25218,60 1993 4748,90 0,62 1994 4928,10 2,21 1995 5075,60 5539,10 27439,73 3,33 1996 5237,50 5677,70 29448,19 3,08 1997 5423,90 5683,70 5854,50 32664,07 3,12 1998 6168,60 35587,02 3,58 1999 5968,40 6320,00 39591,26 3,25 2000 6257,80 6539,20 38167,72 3,58 2001 6251,81 6572,80 39908,77 3,70 2002 6432,27 6728,96 41639,29 3,88 2003 6612,73 6885,12 43369,80 4,05 2004 6793,19 7041,28 45100,32 4,23 2005 6973,65 7197,45 46830,83 4,40 2006 7154,12 7353,61 48561,35 4,58 2007 7334,58 7509,77 50291,86 4,75 2008 7468,42 7635,29 52025,01 4,92 2009 7633,35 7781,24 53756,40 5,09 2010 7798,27 7927,19 55487,80 5,26 2011 7963,19 8073,13 57219,19 5,43 2012 8128,12 8219,08 58950,58 5,60 2013 8293,04 8365,03 60681,98 5,77 2014 8457,97 8510,98 62413,37 5,95 2015 8622,89 8656,93 64144,76 6,12 2016 8787,81 8802,88 65876,16 6,29 2017 8952,74 8948,82 67607,55 6,46 2018 9117,66 9094,77 69338,94 6,63 2019 9282,58 9240,72 71070,34 6,80
Question 2) The following regression model will be estimated according to the data of real consumption expenditure (C), real
disposable income (Yd), real wealth (W) and real interest rate (1) in the USA for the period 1947-2019.
In C; = B1 + B2 ln Yd + Bz In We + B,le + u;
a) Estimate the model.
b) Find the variance amplification factor (VIF) values to test multicollinearity, what is the result?
Transcribed Image Text:Question 2) The following regression model will be estimated according to the data of real consumption expenditure (C), real disposable income (Yd), real wealth (W) and real interest rate (1) in the USA for the period 1947-2019. In C; = B1 + B2 ln Yd + Bz In We + B,le + u; a) Estimate the model. b) Find the variance amplification factor (VIF) values to test multicollinearity, what is the result?
Expert Solution
steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Equality of Variances
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman