At how many average weekly hours worked is the marginal effect of hours on predicted wage equal to zero? What is the exact effect (in percent) of an increase of 10 years of education on predicted wage?

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  1. Could someone please help with these.
  2. At how many average weekly hours worked is the marginal effect of hours on predicted wage equal to zero?

    1. What is the exact effect (in percent) of an increase of 10 years of education on predicted wage?

Consider the following OLS regression output which is estimated with Wage2.dta (see
tutorial folder on Blackboard)
Source
df
MS
Number of obs
935
F (4, 930)
36.82
Model
22.6467366
4
5.66168416
Prob > F
0.0000
%3D
Residual
143.009547
930
.153773706
R-squared
Adj R-squared
0.1367
%3D
0.1330
%3D
Total
165.656283
934
.177362188
Root MSE
.39214
%3D
lwage
Сoef.
Std. Err.
P>|t|
[95% Conf. Interval]
educ
.0400982
.0068351
5.87
0.000
.0266843
.0535122
IQ
.005914
.0009967
5.93
0.000
.0039579
.0078701
hours
.0035899
.013037
0.28
0.783
-.0219954
.0291752
hours2
-.0000842
.0001298
-0.65
0.517
-.0003389
.0001706
cons
5.649044
.3240363
17.43
0.000
5.013117
6.284971
where Iwage is the natural logarithm of monthly wage in US$, educ is years of education, IQ
is points on an IQ intelligence test, hours is average weekly hours worked, and hours2 is
experience squared (hours * hours). Assume that MLR 1-6 hold.
Transcribed Image Text:Consider the following OLS regression output which is estimated with Wage2.dta (see tutorial folder on Blackboard) Source df MS Number of obs 935 F (4, 930) 36.82 Model 22.6467366 4 5.66168416 Prob > F 0.0000 %3D Residual 143.009547 930 .153773706 R-squared Adj R-squared 0.1367 %3D 0.1330 %3D Total 165.656283 934 .177362188 Root MSE .39214 %3D lwage Сoef. Std. Err. P>|t| [95% Conf. Interval] educ .0400982 .0068351 5.87 0.000 .0266843 .0535122 IQ .005914 .0009967 5.93 0.000 .0039579 .0078701 hours .0035899 .013037 0.28 0.783 -.0219954 .0291752 hours2 -.0000842 .0001298 -0.65 0.517 -.0003389 .0001706 cons 5.649044 .3240363 17.43 0.000 5.013117 6.284971 where Iwage is the natural logarithm of monthly wage in US$, educ is years of education, IQ is points on an IQ intelligence test, hours is average weekly hours worked, and hours2 is experience squared (hours * hours). Assume that MLR 1-6 hold.
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