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Question 1:
a) Explain what is a VAR giving an example both in the form of an equation and matrix. Discuss its benefits and limitations.
b) How can we estimate a VAR involving equations having a contemporaneous feedback term?
c) Distinguish between variance decomposition and impulse response functions.
Question 2:
(a) What are the two types of non-stationarity that exist and show how one of them can be made stationary?
(b) How do we test for a unit root?
(c) What does it mean when two variables are cointegrated?
(d) Using the Engle-Granger approach show how parameters can be estimated in cointegrated systems.
Suppose an economy has the following Real money demand Function: L(Y,i) = 1000 + 0.3Y - 4000i, where i is the nominal interest rate paid on non-monetary (financial) assets,
Consider a linear model to explain pricing of houses: Price = ß0 + ß1lotsize + ß2sqrft + ß3bdrms + u (1) E(u| lotsize, sqrft, bdrms)=0 Var (u| lotsize, sqrft, bdrms)=s2 lotsize4
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My question is that when we use Impulse response function and how to use it. Is it used along with some other methodology. What is the meaning of graphs of IRF?
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You have collected data for 104 countries to address the difficult questions of the determinants for differences in the standard of living among the countries of the world. You rec
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how do l get a co factor of a matrix
what are the test for heteroscedasticity?
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