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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.
A chance sample of visitors to a National Park was interviewed regarding their impressions of the Park. Of 200 interviewees, 120 said that they would probably make a return visit
Y1=Y21Y2+Bx+U1 Y2=Y21Y1+U2 First equation is demand and second is supply equation,can first equation be identifiable outline the method
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
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I have a project and I need help with the writing. I have the data and the SPSS regression, park test
My econometrics assignment is due for monday, August 18th. I''m running out of time and need a help to meet the deadline. I need answers for 4 problems from the basic econometrics.
Consider the following equations designed to estimate a school's test scores (Test) and the school's dropout rate (Drop). Test i = B 0 + B 1 *Parent Ed i + B 2 *school quali
You are gambling. There is a white urn in front of you, which contains a total of 100 black and white balls. You are blindfolded, get to pick one ball randomly, and see which color
how much it costs to make this project?
t-ratio under multicolinarity
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