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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.
My question is that when we use Impulse response function and how to use it. Is it used along with some other methodology. What is the meaning of graphs of IRF?
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
Why use auxiliary regression? What are the benefits of using it?
Ask questia) Summarize the basic tenets of the arguments in thiscase b) Do you agree with main tenets of the arguments in the case? Why? Justify your answer with detailed explanati
explanation on diagnostic test in time series
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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
How will government regulation impact decision making
energy consumption and economic growth
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