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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.
demand function(qd)=650-5p-p2 where p=10
t-ratio under multicolinarity
As in the model solved initially, the following is the LP model Maximize Z = $42.13*(x 11 + x 12 + x 13 + x 14 ) + $38.47*(x 21 + x 22 + x 23 + x 24 ) + $27.87*(x 31 + x
prove that summation k =0 and summation kxi=1
A firm has the following inverse demand function: where Q is Quantity and P is Price (a) Find the firm's marginal revenue function. (b) Find the level of out
given the formula for f statistic prove that by using the f statistic you can derive this formula
HOW CAN I GET MULTI REGRESSION
suppose only one professor teaches economics at your university, would you say that this prof is a monopolist who can exact any price from students in the form of readings assigned
Define Dummy Variable and write its importance in Regression model.
Hello I am a PostGrad student. Need some help in the coursework
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