Econometrics Tentamen 1 Flashcards

1
Q

SSR

A

Sum of Squared Residuals

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

TSS

A

Total Sum of Squares

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

ESS

A

Explained Sum of Squares

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

R^2

A

1 - SSR/TSS

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

If the model has an intercept, then TSS = …

A

ESS + SSR

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Beta 1 Estimator (model with intercept)

A

write down. Also equal to covariance (X, Y) divided by variance of X, also equal to the variance of Y divided by variance of X scaled by the correlation coefficient of X and Y

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Beta 1 Estimator (without intercept)

A

write down

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

How do we rewrite the B1 estimator to not include Y?

A

write down

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

SER

A

Standard Error of Regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Write down the F.O.C. of the OLS estimator

A

Do it

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Chebychev’s inequality

A

Write down

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Cov(Xi, u_i) = … (under ass. 1)

A

0 –> because of exogeneity assumption, then also corr(Xi, ui) = 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

E(a + bX + xY) = …

A

a + bmu_x = cmu_y

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

var(a + bY) = …

A

b^2sigma^2_Y

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

var(aX + bY) = …

A

.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

E(Y^2) = ..

A

.

17
Q

cov(a + bX + cV, Y) = …

A

.

18
Q

E(XY) = …

A

.

19
Q

what do we know when X and Y have nonzero finite kurtosis?

A

Large outliers are unlikely (assumption #3 is satisfied), it implies that the var(X) and var(Y) is finite

20
Q

Rewrite the sample covariance:

A