d. Are each of the coefficient estimates significant at a 5% level? Why? e. Test the hypothesis that the addition of an extra child decreases the mean budget share of alcohol. by 2 percentage points against the alternative that the decrease is not equal to 2 percentage points. Use a 5% significance level.
d. Are each of the coefficient estimates significant at a 5% level? Why? e. Test the hypothesis that the addition of an extra child decreases the mean budget share of alcohol. by 2 percentage points against the alternative that the decrease is not equal to 2 percentage points. Use a 5% significance level.
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
Please answer 5.3 d and e

Transcribed Image Text:2:01
--WS
5.3 Consider the following model that relates the percentage of a household's budget spent on alcohol
WALC to total expenditure TOTEXP, age of the household head AGE, and the number of children in
the household NK.
WALC=B₁ + B₂ In(TOTEXP) + B₂NK + BAGE+e
This model was estimated using 1200 observations from London. An incomplete version of this output
is provided in Table 5.6.
Output for Exercise 5.3
TABLE 5.6
Dependent Variable: WALC
Included observations: 1200
Variable
C
In(TOTEXP)
NK
AGE
R-squared
S.E. of regression
Sum squared resid
Coefficient
1.4515
2.7648
-0.1503
46221.62
Std. Error
2.2019
0.3695
0.0235
Jabolt noissgol 5.8 Ex
a. Fill in the following blank spaces that appear in this table.
i. The t-statistic for b₁.
ii. The standard error for b₂.
iii. The estimate by.
iv. R².
t-Statistic
ATSIOO
X
EMC 5.7103
-3.9376
-6.4019
Mean dependent var
allol od tod 6.19434
S.D. dependent varmabes (xl) 6.39547
114142
Prob.
0.5099
0.0000
0.0001
0.0000
V. 8.
b. Interpret each of the estimates b₂, b3, and b₁.
c. Compute a 95% interval estimate for B₁. What does this interval tell you?
d. Are each of the coefficient estimates significant at a 5% level? Why?
e. Test the hypothesis that the addition of an extra child decreases the mean budget share of alcohol
by 2 percentage points against the alternative that the decrease is not equal to 2 percentage points.
Use a 5% significance level.
5.4 Consider the following model that relates the percentage of a household's budget spent on alcohol,
WALC, to total expenditure TOTEXP, age of the household head AGE, and the number of children in
the household NK.
WALC=B₁ + B₂ In(TOTEXP) + B,NK + BAGE+BAGE² +e
Some output from estimating this model using 1200 observations from London is provided in Table 5.7.
The covariance matrix relates to the coefficients b, b, and b.
2. Find a point estimate and a 95% interval estimate for the change in the mean budget percentage
share for alcohol when a household has an extra child.
a marginal effect of AGE on the mean budget
c. Find a point estimate and a 95% interval estimate for the age at which the mean budget percentage
percentage share for alcohol when (i) AGE = 25, (ii) AGE = 50, and (iii) AGE= 75.
share for alcohol is at a minimum.
d. Summarize what you have discovered from the point and interval estimates in (a), (b), and (c).
ally distributed.
Expert Solution

Step 1
Given the Regression out put of the model
This model is estimated using 1200 observations from London.
Step by step
Solved in 3 steps

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