The regression table from STATA and the table that I created by looking at the values from STATA are attached. Question: Run a separate regression for each measure of social preferences (risk-taking, patience, trust) and compare whether subjective measures of individual’s math skills, their gender and age are important determinants. Summarize the results of the regressions in a table (each column representing one regression). Interpret the estimated coefficients and provide an intuition of what you have found out.

ENGR.ECONOMIC ANALYSIS
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ISBN:9780190931919
Author:NEWNAN
Publisher:NEWNAN
Chapter1: Making Economics Decisions
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The regression table from STATA and the table that I created by looking at the values from STATA are attached.

Question: Run a separate regression for each measure of social preferences (risk-taking, patience, trust) and compare whether subjective measures of individual’s math skills, their gender and age are important determinants. Summarize the results of the regressions in a table (each column representing one regression). Interpret the estimated coefficients and provide an intuition of what you have found out.

. regress patience subj_math skills gender age
Source
Model
Residual
Total
patience
subj_math skills
gender
Source
age
cons
1403.5833
77158.0479 78,497
sub math skills
gender
risktaking
Source
55
70561.6312 78,500 1.00078511
age
cons
regress risktaking subj_math_skills gender age
af MS
trust
3
$$
subj_math skills
gender
age
cons
Model 6005.66905
32260.55635
Residual 71500.9363 78,441 .911525048
Total
78306.6053 78,444 .9982485
467.8611
-982942633
Coef. Std. Err.
55
. regress trust subj_math skills gender age
.0452631 .0012645 35.00 0.000
-.0444922 .0071535 -6.22 0.000
-.0008363 .0002037 -4.12 0.000
-.1735668 .0124032 -13.99
Coef. Std. Err.
Coef.
df
MS
t
Model
2759.47701
3
919.82567
Residual 75031.1983 77,810 964287345
Total 77790.6753 77,813 -999713098
Std. Ext.
.0625586 .0012597
.0675864 .0071163
.0044776 .0002025
--5490794
.012345
MS
Number of obs
(3, 78497)
Prob > F
R-squared
.0489453 .0012183 40.18 0.000
-1859333 .006892 -26.98 0.000
-.0131004 .0001963 -66.70 0.000
.3982748 0119453 33.34 0.000
Adj R-squared
Root MSE
P> 151
[95% Conf. Interval)
.0427047
-0477415
-.058513
-.0304714
-.0012376
-.0004391
0.000 -.1978769
-.1492567
Number of obs
F(3, 78441)
Prob > F
R-squared
Adj R-squared
Root MSE
Dit
Number of obs
F(3, 77010)
Prob > F
R-squared
Adj R-squared
Root MSE
P>|t|
49.66 0.000
9.50 0.000
22.11 0.000
[95% Conf. Intervall
.0465575 .0513331
-.172425
-.1994416
-.0134931 -.0127237
.3748621 .4216876
-
70,501
475.98
0.0000
0.0179
0.0178
-99143
78,445
2488.75
0.0000
0600095
.0536384
0.0869
0.0069
-95474
.0040807
0.000 -.5732755
77,814
953.09
0.0000
[95% Conf. Interval)
0.0355
0.0354
.98198
.0650276
0815344
.0048745
-.5248834
I
Transcribed Image Text:. regress patience subj_math skills gender age Source Model Residual Total patience subj_math skills gender Source age cons 1403.5833 77158.0479 78,497 sub math skills gender risktaking Source 55 70561.6312 78,500 1.00078511 age cons regress risktaking subj_math_skills gender age af MS trust 3 $$ subj_math skills gender age cons Model 6005.66905 32260.55635 Residual 71500.9363 78,441 .911525048 Total 78306.6053 78,444 .9982485 467.8611 -982942633 Coef. Std. Err. 55 . regress trust subj_math skills gender age .0452631 .0012645 35.00 0.000 -.0444922 .0071535 -6.22 0.000 -.0008363 .0002037 -4.12 0.000 -.1735668 .0124032 -13.99 Coef. Std. Err. Coef. df MS t Model 2759.47701 3 919.82567 Residual 75031.1983 77,810 964287345 Total 77790.6753 77,813 -999713098 Std. Ext. .0625586 .0012597 .0675864 .0071163 .0044776 .0002025 --5490794 .012345 MS Number of obs (3, 78497) Prob > F R-squared .0489453 .0012183 40.18 0.000 -1859333 .006892 -26.98 0.000 -.0131004 .0001963 -66.70 0.000 .3982748 0119453 33.34 0.000 Adj R-squared Root MSE P> 151 [95% Conf. Interval) .0427047 -0477415 -.058513 -.0304714 -.0012376 -.0004391 0.000 -.1978769 -.1492567 Number of obs F(3, 78441) Prob > F R-squared Adj R-squared Root MSE Dit Number of obs F(3, 77010) Prob > F R-squared Adj R-squared Root MSE P>|t| 49.66 0.000 9.50 0.000 22.11 0.000 [95% Conf. Intervall .0465575 .0513331 -.172425 -.1994416 -.0134931 -.0127237 .3748621 .4216876 - 70,501 475.98 0.0000 0.0179 0.0178 -99143 78,445 2488.75 0.0000 0600095 .0536384 0.0869 0.0069 -95474 .0040807 0.000 -.5732755 77,814 953.09 0.0000 [95% Conf. Interval) 0.0355 0.0354 .98198 .0650276 0815344 .0048745 -.5248834 I
Maths skills
Gender
Age
R-squared
Regression 1:
Patience
Coeff: 0.452631
Std: Err.: 0.0012645
p-value: 0.000
Coeff: -0.0444922
Std: Err.: 0.0071535
p-value: 0.000
Coeff: -0.0008383
Std: Err.: 0.0002037
p-value: 0.000
0.0179
Regression 2: Risk-
taking
Coeff: 0.0489453
Std: Err.: 0.0012183
p-value: 0.000
Coeff: -0.1859333
Std: Err.: 0.006892
p-value: 0.000
Coeff: -0.0131084
Std: Err.: 0.0001963
p-value:0.000
0.0869
Regression 3: Trust
Coeff: 0.0625586
Std: Err.: 0.0012597
p-value: 0.000
Coeff: 0.0675864
Std: Err.: 0.0071163
p-value: 0.000
Coeff: 0.0044776
Std: Err.: 0.0002025
p-value: 0.000
0.0355
Transcribed Image Text:Maths skills Gender Age R-squared Regression 1: Patience Coeff: 0.452631 Std: Err.: 0.0012645 p-value: 0.000 Coeff: -0.0444922 Std: Err.: 0.0071535 p-value: 0.000 Coeff: -0.0008383 Std: Err.: 0.0002037 p-value: 0.000 0.0179 Regression 2: Risk- taking Coeff: 0.0489453 Std: Err.: 0.0012183 p-value: 0.000 Coeff: -0.1859333 Std: Err.: 0.006892 p-value: 0.000 Coeff: -0.0131084 Std: Err.: 0.0001963 p-value:0.000 0.0869 Regression 3: Trust Coeff: 0.0625586 Std: Err.: 0.0012597 p-value: 0.000 Coeff: 0.0675864 Std: Err.: 0.0071163 p-value: 0.000 Coeff: 0.0044776 Std: Err.: 0.0002025 p-value: 0.000 0.0355
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