Part 1 Flashcards

1
Q

What is the conditional mean of a VAR(1) process?

A
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2
Q

What is the usual representation of a VAR(1) process?

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3
Q

What are the four properties of the innovations epsilon from a VAR(1) process?

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4
Q

What is the conditional variance of epsilon_t of a VAR(1) process?

A
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5
Q

What is the reduced form and structural form of a VAR model? How can one be written as the other?

A

First, structural, then reduced

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6
Q

What do we need to ensure that E[x_t] and Var[X_t] behave nicely?

A
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7
Q

How is the stability condition of a VAR process derived? (Specifically what specific condition do we need to hold for the process to be stable)

A
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8
Q

What is the scalar equation of a matrix A?

A
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9
Q

Which condition needs to hold for a VAR(1) model to be stable?

A
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10
Q

What is the closed form solution of the unconditional expectation of x_t? When does this hold? (Of a VAR model)

A
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11
Q

Derive the unconditional variance of a VAR model (until the sum of Lambda Omega Lambda)

A
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12
Q

Derive the autocovariance of a VAR model

A
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13
Q

What does the following thm imply?

A

A linear combination of Gaussian variables is also Gaussian

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14
Q

What is the companion form of a VAR(p) process?

A
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15
Q

What is the characteristic equation of a VAR(p) process?

A
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16
Q

What is the stability condition of a VAR(p) process?

A
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17
Q

What is the definition of stationarity in the wide sence and stationarity in the strict sence?

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18
Q

What are the three conditions for stationarity of a VAR process?

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19
Q

Why is the mixing property useful?

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20
Q

What does ergodic mean?

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21
Q

What is the ergodic theorem?

A
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22
Q

What is the definition of the DGP of the entire economy? What could be said about this theoretical DGP?

A
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23
Q

What are the three types of variables in the DGP of the entire economy?

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24
Q

What is usually meant by treat z_t as given? What are thre three consequences?

A
25
Q

How can the joint density of the entire economy be factorized?

A
26
Q

When are variables said to be variation free?

A
27
Q

What are the three assumptions that econometric analysis of D_{y|z} rely on?

A
28
Q

If the three assumptions that D_{y|z} rely on are fulfilled, which conclusion can be reached?

A
29
Q

What are nuisance parameters? What are parameters of intrest?

A
30
Q
A
31
Q

What is the definition of weakly exogenous?

A
32
Q

What is the definition of (non)-granger causality?

A
33
Q

What is the difference between real causality and Granger causality?

A
34
Q

What is the definition of strong exogeneity?

A
35
Q

What is the definition of super exogeneity?

A
36
Q

What are the three notions of exogeneity? What do they enable?

A
37
Q

What is the idea behind the lag-operator?

A
38
Q

What is the one period difference operator? What is the n-period difference operator? What is the nth order-difference operator?

A
39
Q

What is the inverting lag polynomial?

A
40
Q

Give an example of how to invert lag polynomials:

A
41
Q

How can an AR(p) model be written using lag-polynomials?

A
42
Q

Write a MA process in terms of a Lag operator.

A
43
Q

Write an ARMA process in terms of a Lag operator.

A
44
Q

How can autocovariance be analyzed? (name 2)

A
45
Q

What is the definition of an Integrated process?

A
46
Q

How can a VAR(p) model be written with a Lag operation? How a VARMA?

A
47
Q

How can a matrix polynomial be inverted? Why is this usefull?

A
48
Q

What are the three methods of writing down the stability conditions?

A
49
Q

What is the simplest dynamic model?

A
50
Q

What is the definition of filtration?

A
51
Q

What is the definition of adaption?

A
52
Q

What is the definition of a martingale?

A
53
Q

What is the definition of a martingale difference sequence?

A
54
Q

What does a mds imply with regarding lagged values?

A
55
Q

How can a martingale sequence always be created?

A
56
Q

What is the LLN for mds?

A
57
Q

What is the clt for mds?

A
58
Q
A