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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.
Peter's utility function is u(x, y) = x + 2y where x is the number of ounces of coffee and y is the quantity of sugar in grams. Let unit prices be given by P x = 6 cents, P
(a) Explain what is meant by the term regression. (b) Describe the justification for the inclusion of a disturbance term in a regression analysis. (c) With appropriate exa
if there is multicollinearity so why we can not estimate the value of parameters?
Given the demand function Qd = 650-5P-P2 where P=10 Find out the price elasticity of demand.
You are a logistics consultant for a rapidly growing online retail company. They plan to expand their operations to a new geographical region.Task: Develop a comprehensive logistic
A city government wants to raise $3 million by issuing bonds. By ballot proposition, the bond's coupon interest rate was set at 8% per year with semiannual payments. However, marke
why do we make use of regression analysis in our econometrics analysis
You are a property insurer and one of your potential clients, whose current wealth is $450,000, wants to insure her $250,000 house. The chances of the house burning down in any gi
if there is no autocorrelation what will be done
Suppose a small open economy is characterised by the following equations/information: Y =6K 0 L 1-α K 0 = 30,000 L 0 = 10,000
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