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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.
Consider the following short run production function. Q 0 15 35 60 90 115 135 150 16
semi average method
A brief summary of the procedure of maximum likelihood.
Would you please advise me what would be the code in Eviews if I have first dependent variable in continuous data, second censor data and third discrete data in my system (structu
how to remedial of multicollinearity??
Given the demand function Qd = 650-5P-P2 where P=10 Find out the price elasticity of demand.
Gretl help?
how much it costs to make this project?
a) Explain what is calculated by a correlation coefficient. b) Why do economists commonly find regression a more useful tool than correlation? c) In a sample of 102 men the corre
Ask q2. Using a sample of 545 full-time workers, a researcher is interested in the question as to whether women are systematically underpaid compared with men. First, a research es
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