Economics 143 - Sample Midterm
Questions below refer to associated computer output.
INSTRUCTIONS: [On actual exam] Answer all questions in the space
provided (or indicate clearly where you have continued your answer). Calculators
are NOT permitted. Reduce all computations to the simplest form so that anyone
with a calculator could attain the answer easily. Show your work and reasoning
to the fullest extent possible so that part marks can be assigned as
warranted. You have 75 minutes to complete this exam. Each question is
worth 5 points. Total points = 75. Budget your time carefully. Exhibit
pages should not be turned in with your exam.
- SCENARIO:
-
Suppose you have been pondering the habits of college students when it comes
to spending money on their social lives (broadly defined). You are most
interested in knowing how typical weekly social expenditures (SPEND) vary
with the number of hours that the student works per week (WORK) and/or with
the typical number of dollars per week (OTHER) that the student's family
sends to "help out." To begin your study, you start with a group of 13
students from middle-class families.
- According to the descriptive statistics in EXHIBIT A, what is the
marginal mean weekly expenditure for students in this group? _____________
What is the standard deviation in hours worked per week? _____________
What is the range in the amount of other family financial support?
____________ What is the correlation between hours worked and family
financial support?_____________ Precisely what formula would you use to
calculate the covariance between social spending and family financial
support?
- You regress SPEND on WORK for this group of 13 students. You wish to
use this regression to determine whether work hours have any systematic
effect on the amount spent on one's social life. Give a precise statement
of the hypothesis test you would propose to address this question:
H0:____________
By the results in Regression A1, is your
hypothesis rejected or not
rejected? Explain how you came to this conclusion.
- "Nonworking students have no social lives (at least no social lives
that involve spending any money)." Formulate this assertion into an
hypothesis about one of the estimated quantities in Regression A1:
- Test this assertion using the results in Regression A1. (Explain how
you reached your conclusion.)
- Is there anything about your hypothesis test in question 3 that would
lead you to qualify the conclusion? (HINT: think about the interpretation
of the parameter you are asking about; keep in mind the descriptive
statistics for this sample.)
- Now, in addition to WORK, you include family financial support (OTHER)
in your model in Regression A2. What does
this model imply regarding the
average effect of an additional hour of work on the amount of spending on a
student's social life, and how do this model's implications differ from
those of Regression A1? Explain WHY the
estimated coefficient on WORK was
different in Regression A1.
- What is the interpretation of the intercept in Regression A2. Test the
hypothesis that this intercept is zero. Explain your results.
- One classmate's mother has been overheard to complain that "students
nowadays just squander on entertainment all the money you send them to help
out with their educations." Translate this assertion into a statistical
hypothesis and write down the formula that would be used in a t-test of this
hypothesis (plug sample values into the general formula).
- Another classmate's mother would disagree. She thinks "students
squander on their social lives only half of the money you send them to help
with their educations." Translate this assertion into a statistical
hypothesis and write down the formula that would be used in a t-test of this
hypothesis (again, plug sample values into the general formula).
- To precisely what "population" would you ascribe the results from the
regression models in EXHIBIT A?
- SCENARIO
-
Now you become concerned that your small middle-class sample of students is
not representative of all students. To get a more representative sample of
students, you survey an additional nineteen students from other types of
backgrounds and family circumstances. Pooling all of these data yields a
sample of 32 students. Analysis of these data appears in EXHIBIT B.
- Ordinarily, a larger sample would tend to increase the precision with
which you can estimate a particular regression slope parameter. Why?
- What happens in Regression B1, as
opposed to its counterpart Regression
A1? (HINT: refer to the descriptive
statistics for the smaller and larger
samples in your answer.)
- According to Regression B2, is an
additional hour of work each week
associated, on average, with greater spending on one's social life?
Explain.
- According to Regression B2, do
students tend to "waste half of every
dollar they get from home" on their social lives? Explain.
- In Regression B2, what proportion of
the variation in SPEND is explained
by WORK and OTHER? How does this compare to the proportion of the variation
in SPEND that could be explained by WORK alone in Regression B1?
- What is the effect on SPEND of a one-standard-deviation change in WORK?
of a one-standard-deviation change in OTHER? (Be sure to give units.)
- The results in Regression B2 in EXHIBIT B are now free from "omitted
variables bias" when it comes to assessing the average effect of work hours
on the amount spent on one's social life. True, False, Uncertain? Explain.
- OPTIONAL: Potential 5 points extra credit)
a.) There isn't much "theory" motivating the regression specifications
explored so far. What are your "priors" concerning the signs of the
coefficients in a regression of SPEND on WORK and OTHER? Explain.
b.) Among other things, some implicit maintained hypotheses in the
above analysis include that:
- i.) the derivatives of SPEND with respect to WORK and OTHER are
constant (i.e. each has the same value no matter where in (WORK,OTHER)-space
you calculate it);
- ii.) the effect of an extra dollar of OTHER does not depend upon
WORK;
- iii.) WORK decisions are made independently of preferences for
spending money on one's social life;...
Comment on these maintained hypotheses. Are they likely to be met in
this sample?
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