Consider the results in Table 5. After running the regression, we test whether the coefficients of the variables hhsize1 and hhsize2 are equal at 5% significance level. The value of the F-statistic is 26.32. Note that the sample size is 1,593. What is the outcome of the test? i). Do you think the regression in Table 5 suffers from omitted variable bias? If yes, which additional variables would you include to control for omitted variable bias
Consider the results in Table 5. After running the regression, we test whether the coefficients of the variables hhsize1 and hhsize2 are equal at 5% significance level. The value of the F-statistic is 26.32. Note that the sample size is 1,593. What is the outcome of the test? i). Do you think the regression in Table 5 suffers from omitted variable bias? If yes, which additional variables would you include to control for omitted variable bias
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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h) ii). Consider the results in Table 5. After running the regression, we test whether the coefficients of the variables hhsize1 and hhsize2 are equal at 5% significance level. The value of the F-statistic is 26.32. Note that the
sample size is 1,593. What is the outcome of the test? i). Do you think the regression in Table 5 suffers from omitted variable bias? If yes, which additional variables would you include to control for omitted variable bias?
![Table 5
. regress size hhinc owner
hhsizel hhsize2 hhsize3, robust noconstant
Linear regression
Number of obs
1,593
F(5, 1588)
3895.70
Prob > F
0.0000
R-squared
0.9255
%3D
Root MSE
353.16
Robust
size
Coefficient
std. err.
P>|t|
[95% conf. interval]
hhinc
.004567
.0006717
6.80
0.000
.0032495
.0058845
owner
404.7925
442.6217
hhsize1
675.8086
24.24222
27.88
0.000
628.2585
723.3587
hhsize2
788.6606
36.47628
21.62
0.000
717.1138
860.2073
hhsize3
993.6609
58.63294
16.95
0.000
878.6548
1108.667](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F00af739a-4010-4669-9e5e-5bc99db6959f%2F2362ef74-9cde-45e8-90ba-0c5fb782eb04%2Flkhyigi_processed.png&w=3840&q=75)
Transcribed Image Text:Table 5
. regress size hhinc owner
hhsizel hhsize2 hhsize3, robust noconstant
Linear regression
Number of obs
1,593
F(5, 1588)
3895.70
Prob > F
0.0000
R-squared
0.9255
%3D
Root MSE
353.16
Robust
size
Coefficient
std. err.
P>|t|
[95% conf. interval]
hhinc
.004567
.0006717
6.80
0.000
.0032495
.0058845
owner
404.7925
442.6217
hhsize1
675.8086
24.24222
27.88
0.000
628.2585
723.3587
hhsize2
788.6606
36.47628
21.62
0.000
717.1138
860.2073
hhsize3
993.6609
58.63294
16.95
0.000
878.6548
1108.667
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