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Flashcards in Pictures Deck (50)
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1

What is the estimate for αhat in this equation: yt=αyt-1+ut

2

what is the weighted least squares model

E(ui^2|xi)=σ^2h(xi)

3

Equation for F test based on R^2

4

Equation for Logit

5

Equation for probit model

φ(.) is the standard normal cumulative distribution function

6

what is the densitiy of the logit

7

what is the marginal effects of the Logit

8

what is the marginal effects of the Probit

9

what is the probability P(X=x) for a Bernoulli distribution

10

what is the little tricks that help you derive the OLS estimator

11

what are the conditions for Pooled OLS to be consistent and normally distributed in large samples

12

what are the conditions for random effects GLS to be consistent and normally distributed in large samples

13

what are the conditions for Fixed Effects OLS to be consistent and normally distributed in large samples

14

what are the conditions for  FIirst Differenced OLS to be consistent and normally distributed in large samples

15

what is the random effects GLS conditional variances with strong exogeneity assumption E(ui|Xi)=0

16

What is the estimator for the variance of βRE given conditional homoskedasticity and no serial correlation of uit, E(uituis|Xi)=0

17

what is the between estimator

18

What is the fixed effects OLS equation that takes into account endogeneity

19

What is the further assumption on Fixed Effects OLS to make it efficient

That the uit are further conditionally homoskedastic and not serially correlated. uiui’ because its a matrix

20

21

what is the setting for the first differenced OLS

22

What is the process of first differenced OLS

23

Given this equation what is the condition for the OLS estimator for β to be consistent and normally distributed in large samples

24

Given this equation, assuming there is feedback from ui,t-1 to xit, show that the FD OLS model is biased and inconsistent

25

How is the endogeneity problem of the fixed effects OLS solved

First differenced model is a good starting point. Then use xi,t-j as an instrument as it satisfies the exogeneity condition as it is not correlated with (uit-ui,t-1) and is clearly correlated with the endogenous variable (xit-xi,t-1) as x responds to past realised shocks

26

what is the density of the standard logistic distribution

27

what is the density of the standard normal distribution function (probit)

28

what are the marginal effects of the logit model

29

what is the marginal effect of the probit model

30

what is the maximum likelihood estimation for the probit model

Maximum likelihood for the probit: the conditional distribution yi | xi is Bernoulli