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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.
prove that summation k =0 and summation kxi=1
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Consider the following short run production function. Q 0 15 35 60 90 115 135 150 16
what are factors contributing to the long run trend interms of trade of developing countries?
Consider a Simple Linear Regression Model (SLRM) of the form y= a1+a2X+e where e ~ N(0,σ 2 )(Use the assumptions outlined in our class and available for review in the lecture note
A store is known for is bargains. The store has the habit of lowering the price of its bargains each day, to ensure that articles are sold fast. Assume that you spot an item on Wed
Suppose that the aggregate demand curve in a particular year is given by the algebraic expression: Y = 3000 + 1000/P, where Y is the aggregate output and P is t
Following the general methodology used by econometricians as explained in the session for week 1 (eight steps), explain how you would proceed to determine if a good complies with t
what factors affect the choice of material handling systems
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