Use the Dataset Growth.wf1 in “resources” — the file growth defines the variables.
1. Run the regression growth = α + βTrade + ε
In eviews: ls growth c trade
1. Does trade significantly (at the .05 level) impact growth?
1. What does the standard error of the regression mean?
1. What is your forecast for growth of a nation where trade =.5?
1. Run the regression:
LS GROWTH C TRADE RGDP60 SCHOOL
1. What does the F statistic from the regression show?
1. Test if the coefficients on RGDP60 and SCHOOL are jointly=0.
1.
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Dependent Variable : GROWTH |
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Method: Least Squares |
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Date: 02/05/18 Time: 23:11 |
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Sample: 1 65 |
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Included observations: 65 |
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| Variable |
C oefficient |
Std. Error |
t-Statistic |
Prob. |
| C |
0.640265 |
0.489977 |
1.306726 |
0.1961 |
|
TRADESHARE |
2.306434 |
0.773485 |
2.981873 |
0.0041 |
|
R-squared |
0.123680 |
Mean dependent var |
1.942715 |
|
|
Adjusted R-squared |
0.109770 |
S.D. dependent var |
1.897120 |
|
|
S.E. of regression |
1.789970 |
Akaike info criterion |
4.032561 |
|
|
Sum squared resid |
201.8516 |
Schwarz criterion |
4.099465 |
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Log likelihood |
-129.0582 |
Hannan-Quinn criter. |
4.058959 |
|
|
F-statistic |
8.891564 |
Durbin-Watson stat |
2.180373 |
|
|
Prob(F-statistic) |
0.004070 |
2.
Dependent Variable: GROWTH
Method: Least Squares
Date: 02/05/18 Time: 23:12
Sample: 1 65
Included observations: 65
Variable
Coefficient
Std. Error
t-Statistic
Prob.
C
-0.142705
0.549450
-0.259724
0.7960
TRADESHARE
1.842418
0.716842
2.570187
0.0126
RGDP60
-0.000391
0.000145
-2.703767
0.0089
YEARSSCHOOL
0.566717
0.141245
4.012302
0.0002
R-squared
0.317675
Mean dependent var
1.942715
Adjusted R-squared
0.284118
S.D. dependent var
1.897120
S.E. of regression
1.605149
Akaike info criterion
3.843874
Sum squared resid
157.1668
Schwarz criterion
3.977683
Log likelihood
-120.9259
Hannan-Quinn criter.
3.896670
F-statistic
9.466736
Durbin-Watson stat
2.031397
Prob(F-statistic)
0.000032