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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.
about t-ratio test under multicolinarity
Problem: (a) Write down the equation for symmetric GARCH and clearly explain its components. (b) Explain the term ‘volatility clustering'. (c) How would you model leverag
This problem refers to Doughtery's Educational Attainment and Earnings Functions (EAEF) data set, accessible through the course website. This data is a subset of the U.S. National
The attached Eviews results are for a model who has a professional career (dependent variable = pro (1 if respondent has a professional career, 0 otherwise). The data is the 1979 c
You are gambling. There is a white urn in front of you, which contains a total of 100 black and white balls. You are blindfolded, get to pick one ball randomly, and see which color
advantages and disadvantages
what is indirect utility function?
volatility
t-ratio under multicolinarity
what factors affect the choice of material handling systems
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