1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed b. th...

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Question

1. If OLS estimators satisfy asymptotic normality, it implies that a. they are approximately normally distributed b. they are

Answer 1

Answer #1

1) Ans - Option A

The answer is that they are approximately normally distributed in large enough sample sizes.
Asymptotic normality is a function of probability distribution(sequence)
The OLS estimators are asymptotically normal meaning that they are approximately normally distributed in large enough sample sizes.

2) Option D

There is no correlation between independent variables and the error term.
In a multilinear model, the OLS estimator is consistent if the independent variables has no correlation between them.

as HOMEWORKLIB RULES we can answer only 1 question i did 2 for you. For the rest i will just give you options.

Q3- Option C

Q4 - Option C

The answer is by subtracting off its mean and dividing by its standard deviation.

Q5- Option A

Answer 2

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