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Flashcards in test Deck (10)
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1
Q

A biased estimator always has higher mean-square error than an unbiased estimator.

A

false

2
Q

The OLS residuals are, by construction, uncorrelated with the exogenous variables of the regression equation.

A

true

3
Q

The reason why the OLS coefficient estimates are usually considered to follow a t-distribution rather than the normal is that the error variance is usually unknown.

A

true

4
Q

f we wish to test the hypothesis that a coefficient is positive then we would use a two-tailed test

A

false

5
Q

The standard error of the regression always lies in the range zero to one and the closer it is to one then the better the fit of the model.

A

false

6
Q

The F test for the joint significance of the right hand side variables is distributed as F with degrees of freedom equal to T-k-1, k (where T is the number of observations and kis the number of slope coefficients)

A

true

7
Q

Serial correlation of the errors in a regression model would not, in itself, lead us to expect the OLS coefficient estimates to be biased.

A

true

8
Q

f the Durbin-Watson statistic lies between the upper and lower critical bounds then we should reject the null that there is no serial correlation.

A

false

9
Q

Heteroscedasticity is most often found in time series regression model

A

false

10
Q

Heteroscedasticity can often be dealt with by scaling the data appropriat

A

true