4. You study the determinants of attending college. You run a linear probability model: College 0.300+0.050 grades +0.001 faminc-0.005- male +u, = (0.059) (0.005) (0.0005) (0.034) where College is a dummy variable that takes the value of 1 if a person decides to go to college and 0. otherwise. The independent variables include high school grades (1 = worst, 10 best), annual family income ("famine", measured in $1000), and a binary variable indicating male. (a) Use the estimated coefficients to explain how high school grades and family income affect the probability of attending college? Which of these effects are significant at the 1% level? (b) Predict the probability of attending college for a student with the following characteristics: (1) has a grade-4; (2) has a family income = $200,000; (3) female 1=

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.CR: Chapter 12 Review
Problem 93CR
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√y
4. You study the determinants of attending college. You run a linear probability model:
College 0.300+0.050 grades +0.001 faminc-0.005 - male + u,
(0.059) (0.005)
(0.0005)
(0.034)
where College is a dummy variable that takes the value of 1 if a person decides to go to college and 0
otherwise. The independent variables include high school grades (1= worst, 10 = best), annual family
income ("famine", measured in $1000), and a binary variable indicating male.
(a) Use the estimated coefficients to explain how high school grades and family income affect the
probability of attending college? Which of these effects are significant at the 1% level?
(b) Predict the probability of attending college for a student with the following characteristics: (1) has a
grade=4; (2) has a family income = $200,000; (3) female
Focus
I
Heading 2
8
HA
22
Find
Replace
Select
Editing
Transcribed Image Text:Title No Spacing Heading 1 Styles √y 4. You study the determinants of attending college. You run a linear probability model: College 0.300+0.050 grades +0.001 faminc-0.005 - male + u, (0.059) (0.005) (0.0005) (0.034) where College is a dummy variable that takes the value of 1 if a person decides to go to college and 0 otherwise. The independent variables include high school grades (1= worst, 10 = best), annual family income ("famine", measured in $1000), and a binary variable indicating male. (a) Use the estimated coefficients to explain how high school grades and family income affect the probability of attending college? Which of these effects are significant at the 1% level? (b) Predict the probability of attending college for a student with the following characteristics: (1) has a grade=4; (2) has a family income = $200,000; (3) female Focus I Heading 2 8 HA 22 Find Replace Select Editing
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