1. I am using regression discontinuity to see if there is a relationship between receiving a scholarship and performing well in college. Suppose that a scholarship is awarded to students who score a 2000 or above on the SAT. (SATS are scored from 200 to 2400.) The regression equation is as follows: CollegeGPA, = 1.74 +.501D, + .209In(SATScore) +u, where D is a dummy variable equal to 1 if the student received the scholarship and 0 otherwise. a) What is the treatment group in this set-up? What is the control group? (2 points) b) Fill in the blank: "If a student's SAT score goes up by one (point, percent), their college GPA is predicted to go (up, down) by (.00209, .209, 20.9) (points, percent)." (2 points) c) Calculate the predicted GPA of a student who got an SAT score of 1900. (1 point) d) What are the advantages of using a quasi-experimental setup like regression discontinuity? What are the disadvantages? (1 point)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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1. I am using regression discontinuity to see if there is a
relationship between receiving a scholarship and performing
well in college. Suppose that a scholarship is awarded to
students who score a 2000 or above on the SAT. (SATS are
scored from 200 to 2400.)
The regression equation is as follows:
CollegeGPA, = 1.74 +.501D, + .209In(SATScore) +u,
where D is a dummy variable equal to 1 if the student received
the scholarship and 0 otherwise.
a) What is the treatment group in this set-up? What is the control
group? (2 points)
b) Fill in the blank: "If a student's SAT score goes up by one
(point, percent), their college GPA is predicted to go (up, down)
by (.00209, .209, 20.9) (points, percent)." (2 points)
c) Calculate the predicted GPA of a student who got an SAT
score of 1900. (1 point)
d) What are the advantages of using a quasi-experimental setup
like regression discontinuity? What are the disadvantages? (1
point)
Transcribed Image Text:1. I am using regression discontinuity to see if there is a relationship between receiving a scholarship and performing well in college. Suppose that a scholarship is awarded to students who score a 2000 or above on the SAT. (SATS are scored from 200 to 2400.) The regression equation is as follows: CollegeGPA, = 1.74 +.501D, + .209In(SATScore) +u, where D is a dummy variable equal to 1 if the student received the scholarship and 0 otherwise. a) What is the treatment group in this set-up? What is the control group? (2 points) b) Fill in the blank: "If a student's SAT score goes up by one (point, percent), their college GPA is predicted to go (up, down) by (.00209, .209, 20.9) (points, percent)." (2 points) c) Calculate the predicted GPA of a student who got an SAT score of 1900. (1 point) d) What are the advantages of using a quasi-experimental setup like regression discontinuity? What are the disadvantages? (1 point)
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