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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.
I am trying to apply weighted least squares but Im not getting a very good fit when I regress the residuals on the variables so I don''t think the weights will be very good
Please help me in using Stata
Choose a share from a market such as LSE, NYSE, NASDAQ, etc. [Data sources could be Datastream, Google Finance or others]. Prepare a report which involves the following aspects:
reasons of lags
Using a sample of 545 full-time workers, a researcher is interested in the question whether women are systematically underpaid compared to men. First, the researcher estimates aver
Popularity vs. True Quality What determines the popularity of YouTube videos? Are the most viewed videos really the ones people like the most? What drives people choose certain
# ?????? ..
Models of time series
I could not understand the matrix of technical coefficents
explain the method with an example
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