Independent Variables: (1) Constant; (2) Person's age (ecage26), (3) Male1, (4) MaleAge "MaleAge" = ecage26* Male1. This variable takes on a value = ecage26 for males and a value = 0 for females. . regress atinc42 ecage 26 malel MaleAge Source | SS atinc42 | df Model | 2.3260e+12 3 Residual | 4.0760e+13 47701 7.7535e+11 854496599 Total I 4.3086e+13 47704 903202919 Coef. Std. Err. MS ecage26 | 72.6103 10.13666 malel | 2791.582 753.175 MaleAge | 196.8107 14.64098 __cons | 24841.38 527.7683 t P> |t| 7.16 0.000 3.71 0.000 13.44 0.000 47.07 0.000 Number of obs = F( 3, 47701) = Prob > F R-squared Adj R-squared = Root MSE = [95% CI. = 52.74231 1315.348 168.1141 23806.95 47705 907.38 0.0000 0.0540 0.0539 29232 92.47829 4267.815 225.5072 25875.82 a) Report the estimated values (the actual numbers) of the coefficient estimates (including the constant) and explain what they measure. b) What are some economic reasons why the estimated coefficients might take on the signs (and values) that they do?
Independent Variables: (1) Constant; (2) Person's age (ecage26), (3) Male1, (4) MaleAge "MaleAge" = ecage26* Male1. This variable takes on a value = ecage26 for males and a value = 0 for females. . regress atinc42 ecage 26 malel MaleAge Source | SS atinc42 | df Model | 2.3260e+12 3 Residual | 4.0760e+13 47701 7.7535e+11 854496599 Total I 4.3086e+13 47704 903202919 Coef. Std. Err. MS ecage26 | 72.6103 10.13666 malel | 2791.582 753.175 MaleAge | 196.8107 14.64098 __cons | 24841.38 527.7683 t P> |t| 7.16 0.000 3.71 0.000 13.44 0.000 47.07 0.000 Number of obs = F( 3, 47701) = Prob > F R-squared Adj R-squared = Root MSE = [95% CI. = 52.74231 1315.348 168.1141 23806.95 47705 907.38 0.0000 0.0540 0.0539 29232 92.47829 4267.815 225.5072 25875.82 a) Report the estimated values (the actual numbers) of the coefficient estimates (including the constant) and explain what they measure. b) What are some economic reasons why the estimated coefficients might take on the signs (and values) that they do?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:4. The following regression is estimated:
Dependent Variable: After Tax Income (atinc42)
Independent Variables: (1) Constant; (2) Person's age (ecage26), (3) Male1, (4)
MaleAge
"MaleAge" = ecage26* Male1. This variable takes on a value = ecage26 for males and a value = 0 for
females.
regress atinc42 ecage 26 malel MaleAge
Source |
atinc42 1
Model | 2.3260e+12
3
Residual | 4.0760e+13 47701
Total I 4.3086e+13 47704.
SS
ecage26 |
72.6103
malel | 2791.582
MaleAge |
cons
Coef.
df
7.7535e+11
854496599
MS
903202919
Std. Err.
10.13666
753.175
196.8107 14.64098
24841.38 527.7683
t
P>|t|
7.16 0.000
3.71 0.000
13.44 0.000
47.07 0.000
Number of obs
F ( 3, 47701) =
Prob > F
R-squared
Adj R-squared
Root MSE
[95% CI.
52.74231
1315.348
168.1141
23806.95
=
=
=
47705
907.38
0.0000
0.0540
0.0539
29232
92.47829
4267.815
225.5072
25875.82
a) Report the estimated values (the actual numbers) of the coefficient estimates
(including the constant) and explain what they measure.
b) What are some economic reasons why the estimated coefficients might take on the
signs (and values) that they do?
![The following regression has been estimated:
Dependent Variable: disability 1
Independent Variables: (1) Constant, (2) Person's age (ecage26), (3) male1
"male1" is equal to 1 for males and 0 for females;
disability1 is equal to 1 for disabled and 0 for not disabled
regress disabilityl ecage26 malel
Source |
Total |
Model | 1137.25995
2
Residual | 9104.04738 47702
disabilityl I
ecage26 |
malel
SS
cons
df
10241.3073 47704
Coef. Std. Err.
.0084218
-.0084567
-.0891858
MS
568.629974
.19085253
.214684457
.0001093
.0040058
.0060068
t
77.04
-2.11
-14.85
47705
Number of obs =
F( 2, 47702) = 2979.42
Prob > F
R-squared
Adj R-squared =
Root MSE
P>|t|
0.000
0.035
0.000
[95% CI]
=
=
0.0000
0.1110
0.1110
.43687
.0082076
-.0163082
-.1009592
.0086361
-.0006052
-.0774125
a) Report the estimated values (the actual numbers) of the coefficient estimates
(including the constant) and explain what they measure.
b) What are some economic reasons why the estimated coefficients might take on the
signs (and values) that they do?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F28196f0a-7c08-4270-acb4-d6a7e856b891%2Fa3323194-50c3-4813-b397-2b2b30861b21%2Flksws4n_processed.png&w=3840&q=75)
Transcribed Image Text:The following regression has been estimated:
Dependent Variable: disability 1
Independent Variables: (1) Constant, (2) Person's age (ecage26), (3) male1
"male1" is equal to 1 for males and 0 for females;
disability1 is equal to 1 for disabled and 0 for not disabled
regress disabilityl ecage26 malel
Source |
Total |
Model | 1137.25995
2
Residual | 9104.04738 47702
disabilityl I
ecage26 |
malel
SS
cons
df
10241.3073 47704
Coef. Std. Err.
.0084218
-.0084567
-.0891858
MS
568.629974
.19085253
.214684457
.0001093
.0040058
.0060068
t
77.04
-2.11
-14.85
47705
Number of obs =
F( 2, 47702) = 2979.42
Prob > F
R-squared
Adj R-squared =
Root MSE
P>|t|
0.000
0.035
0.000
[95% CI]
=
=
0.0000
0.1110
0.1110
.43687
.0082076
-.0163082
-.1009592
.0086361
-.0006052
-.0774125
a) Report the estimated values (the actual numbers) of the coefficient estimates
(including the constant) and explain what they measure.
b) What are some economic reasons why the estimated coefficients might take on the
signs (and values) that they do?
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