Due Sep 30 at 11:59pm Points 10 Questions 10
Available Sep 18 at 8am - Sep 30 at 11:59pm 13 days Time Limit None
Allowed Attempts 2
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LATEST Attempt 1 43 minutes 7 out of 10
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Score for this attempt: 7 out of 10
Submitted Sep 20 at 3:04pm
This attempt took 43 minutes.
Incorrect Question 1 pts
What is the orthogonality assumption in OLS, taking Y = a + bX as the
model, and the error term is e? (e is epsilon)
Correlation(X , X) = 0
Correlation(X, e) = 0
Correlation( e , X ) = 1
None of the above
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, Question 2 pts
While calculating a difference in difference, we run a regression which is
as follows:
lm( y ~ d1 +d2 + d3) where d1 and d2 are dummy variables and d3 is
their interaction term.
We thus get its coefficients according to the equation: Y = a + b*d1 + c*d2
+ d*d3 . What is the difference in difference estimator?
a+b+c+d
(d-c)-(b-a)
a
d
Question 3 pts
We want to observe the column “y” in the dataset. We divide the
observations into 2 parts, where y_0 is the set of observations of the
control group and y_1 is the set of observations of the treatment group.
(Let function mean(X) gives the mean value of X)
What is the difference estimator given by?
mean(y_1) – mean(y_0)
Covariance(y_1, y_2)
1 – mean(y_1)/mean(y_2)
This study source was downloaded by 100000858936669 from CourseHero.com on 01-23-2023 03:30:32 GMT -06:00
https://www.coursehero.com/file/74046001/Self-Assessment-4-Data-Analytics-Business-MGT-6203-OAN-FB-FA20pdf/