Exam Questions Flashcards
1
Q
A
2
Q
A
3
Q
A
4
Q
A
5
Q
A
6
Q
A
7
Q
A
8
Q
A
9
Q
A
10
Q
A
11
Q
How to explain estimated coefficients from the Multinomial probit model?
A
You can explain them using odds ratio’s.
12
Q
A
13
Q
A
14
Q
A
15
Q
How would you answer such a question?
A
16
Q
In case of truncated data (where the truncation is based on the value of the dependent variable yi), is the OLS estimator always useless?
A
Although the OLS estimator is typically inconsistent in case of truncated data, the OLS estimator can be useful as initial value for the numerical optimization of the loglikelihood function (that is, for computing the ML estimator).
17
Q
A
18
Q
(Note: in this case do not graphically illustrate)
A
19
Q
A
20
Q
When estimating the WLS estimator, when you know the variance, what should you know regarding constants?
A
Those could just be left out of the hi
