Governmentassignmentkennychrisaustin 091005142914 Phpapp01 091007142214 Phpapp01
classof1econometricsregressionanalysis13-090720062007-phpapp01
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Sub: Economics Topic: Econometrics
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Question:
Two Stage Least Squares Estimates of the Demand for Cigarettes Using Panel Data for 48 U.S.
States
Regressor (1) (2) (3)
In (P cigarettes l, 1995) --- In (P cigarettes l, 1985) -0.94**
(0.21)
-1.34**
(0.23)
-1.20**
(0.20)
In(Incl, 1995) -- In (Inc l, 1985) 0.53
(0.34)
0.43
(0.30)
0.46
(0.31)
Intercept -0.12
(0.07)
-0.02
(0.07)
-0.05
(0.06)
Instrumental Variables(S) Sales tax Cigarette-
specific tax
Both sales tax and
cigarette specific
tax
First-stage F-statistic 33.70 107.20 88.60
Over identifying restrictions J-test and
p-value
- - 4.93
(0.026)
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Sub: Economics Topic: Econometrics
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This question refers to the panel data regressions summarized in Table 12.1.
a. Suppose that federal government is considering a new tax on cigarettes that is estimated to
increase the retail price by $0.10 per pack. If the current price per pack is $2.00, use the
regression in column (1) to predict the change in demand. Construct a 95% confidence interval
for the change in demand.
b. Suppose that the United States enters a recession and income falls by 2%. Use the regression
in column (1) to predict the change in demand.
c. Recessions typically last less than one year. Do you think that regression in column (1) willprovide a reliable answer to the question in (b)? why or why not?
d. Suppose that the F-statistic in column(1) was 3.6 instead of 33.6. Would the regression
provide a reliable answer to the question posed in (a)? Why or why not?
Solution:
If the federal government introduces a new tax then the retail price will go up by 5% ( 0.10 x
100/20). Then the predicted change in demand will be -0.94 x 5 = -4.70 % i.e. demand will fall
by 4.7%. For 95% confidence interval for the change in demand, here we have n k 1 = 48 2
1 = 45 degrees of freedom. Then for the 97.5th percentile in a t45 distribution c = 2.021. The
required p value is given by 0.21.Thus the 95% confidence interval for the change in demand is -
0.94 0.21(2.021). That is -1.36 ,-.51.
A)The predicted change in demand will be .53 x -2 = -1.06 % i.e. demand will fall by 1.06%.
B)Yes, regression in column (1) provides a reliable answer to the question in (b) because in
presence of the one or more time varying explanatory variables instrumental variable provides
more consistent estimate parameters as compare to the OLS estimation.
C)If the F- statistic in column (1) was 3.6 instead of 33.6 then regression would provide a
reliable answer to question posed in (a) because a decline in F- statistic will not result in F-
statistic going below its critical value c = 3.23 ( F2,45) at 5 % level ,c = 2.39 at 10% level and we
can safely reject the null hypothesis that the variables are jointly insignificant. But if we take c
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Sub: Economics Topic: Econometrics
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at 1% level then c = 5.18 and we can not reject the null hypothesis of joint insignificance ofvariables and answer to question posed in (a) will not be reliable.
** End of the Solution **
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