Problem Set 5 - Assignment - Economic Statistics | ECON 321, Assignments of Economic statistics

Material Type: Assignment; Professor: Mohommad; Class: ECON STAT; Subject: Economics; University: University of Maryland; Term: Summer II 2008;

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Pre 2010

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Problem Set 5
Economics 321
(Due at the Start of Class, Thursday, July 13)
1. Suppose a researcher is interested in estimating the impact of gasoline
taxes (xi) on per capita gallons of gasoline consumed per year (yi). Assume
tax is measured in cents per gallon. The researcher has data from 51 states for
a 10 year period for a total of 510 observations. The researcher estimates the
linear model yi=1+1xi+iand calculate b1to be -0.90. Supp ose instead
of measuring taxes in cents per gallon, the researcher measures taxes in dollars
per gallon where the new model is yi=2+2x
i+i,and .x
i=xi=100:What
will be the estimate on 2?
Now suppose that taxes are estimated in cents as in the rst case, but
consumption is measured as gallons consumed per month, where y
i=yi=12.
The model now is of the form y
i=3+3xi+i. What will be the estimate
on 3?
2. Suppose a researcher is interested in estimating the linear model yi=
+xi+i:In a sample of 48 points, the following descriptive statistics are
generated:
_
x= 30;
_
y= 63
48
P
i=1
(xi_
x)2= 6900
48
P
i=1
(yi_
y)2= 29;000
48
P
i=1
(xi_
x)(yi_
y) = 13;800
The OLS estimates generate a value of s2
e= 36
(a) What are the OLS estimates of and ?
(b) What is the standard error of the estimate of ?
(c) What is the R2for this model?
3. A pharmaceutical company is interested in estimating the impact of a new
drug on cholesterol levels. They enroll 200 people in a clinical trial. People are
randomly assigned dosage levels or they are randomly assigned into the control
group. Half of the people are given dosages of the new drug and half of the
people are given a sugar pill with no active ingredient. To examine the impact
of dosage on reductions in cholesterol levels, the authors of the study regress
change in cholestorel levels (Y) on dosage level (X). For people in the control
group, x=0, and for people in the treatment group, x measures milligrams of
active ingredient. The model they estimate is of the form yi=+ xi+i. In
this case, the authors nnd a statistically signi…cant and negative coe¢ cient on
the estimate for -larger dosages reduce cholesterol levels. Is this an unbiased
estimate of the impact of dosage on change in cholesterol level? Why or why
not? Do you expect the estimate to be too large or too small?
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Problem Set 5 Economics 321 (Due at the Start of Class, Thursday, July 13)

  1. Suppose a researcher is interested in estimating the impact of gasoline taxes (xi) on per capita gallons of gasoline consumed per year (yi). Assume tax is measured in cents per gallon. The researcher has data from 51 states for a 10 year period for a total of 510 observations. The researcher estimates the linear model yi = 1 + 1 xi + i and calculate b 1 to be -0.90. Suppose instead of measuring taxes in cents per gallon, the researcher measures taxes in dollars per gallon where the new model is yi = 2 + 2 x i + i ,and .x i = xi= 100 : What will be the estimate on 2? Now suppose that taxes are estimated in cents as in the Örst case, but consumption is measured as gallons consumed per month, where y i = yi= 12. The model now is of the form y i = 3 + 3 xi + i. What will be the estimate on 3?
  2. Suppose a researcher is interested in estimating the linear model yi =
  • xi + i:In a sample of 48 points, the following descriptive statistics are generated:_ x_ = 30; y = 63 P^48 i=

(xi

_ x)^2 = 6900 P^48 i=

(yi

_ y)^2 = 29; 000

P^48 i=

(xi

_ x)(yi

_ y) = 13; 800

The OLS estimates generate a value of s^2 e = 36 (a) What are the OLS estimates of and? (b) What is the standard error of the estimate of? (c) What is the R^2 for this model?

  1. A pharmaceutical company is interested in estimating the impact of a new drug on cholesterol levels. They enroll 200 people in a clinical trial. People are randomly assigned dosage levels or they are randomly assigned into the control group. Half of the people are given dosages of the new drug and half of the people are given a sugar pill with no active ingredient. To examine the impact of dosage on reductions in cholesterol levels, the authors of the study regress change in cholestorel levels (Y) on dosage level (X). For people in the control group, x=0, and for people in the treatment group, x measures milligrams of active ingredient. The model they estimate is of the form yi = + xi + i. In this case, the authors Önnd a statistically signiÖcant and negative coe¢ cient on the estimate for -larger dosages reduce cholesterol levels. Is this an unbiased estimate of the impact of dosage on change in cholesterol level? Why or why not? Do you expect the estimate to be too large or too small?
  1. In a survey of 1200 high school seniors in 1992, 27% answered yes to the question: Have you smoked at least one cigarette in the past 30 days?. In a 1997 survey of 1100 students, 35% answered yes to the same question. Construct a 95% conÖdence interval for the ìchange in the fraction of high school seniors who smokeî. Using a t-test, test null hypothesis that the fraction of high school seniors who smoked in the past 30 days has not changed over the 1992- period.
  2. In a survey of 700 undergraduates (350 females and 350 males), 48% of males reported an episode of binge drinking in the past year (Öve or more drinks in a row on one occasion), whereas only 40% of females reported binge drinking. Construct a 95% conÖdence interval on the di§erence in binge drinking rates between males and females. Can you reject the null hypothesis that at the 95% conÖdence level, males and females have the same binge drinking rates? How does your answer change if you increase the conÖdence interval to 99%?
  3. The Tornado Fuel Saver is a device that can be installed in the air-intake of your vehicleís engine that is advertised to improve gas mileage and horsepower. (You may have seen an infomercial for the Tornado Fuel Saver on late-night TV! This product is real.). The manufacturer advertises that the Tornado Fuel Saver can boost your carsí miles per gallon by 21%. A car magazine recently conducted a test of the Tornado Fuel Saver and installed the device on 25 cars. The magazine found that miles per gallon improved by an average of 18% in this sample. The standard deviation (s) of this estimate is an 8% improvement. From this sample of 25, construct a 95% conÖdence interval for the expected percent improvement in miles per gallon generated by installing the fuel saver.