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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.
Define McKinsey & Company's present "core competence" in terms used by Hamel & Prahalad and state how it fits with McKinsey's longer term vision. Answer) McKinsey an
what is the mathematical origin of durbin watson test for autocorrelation
This problem refers to Doughtery's Educational Attainment and Earnings Functions (EAEF) data set, accessible through the course website. This data is a subset of the U.S. National
a. If 10,000 two-liter bottles of Pepsi are currently being demanded in your community each month, and the price increases from $1.90 to $2.10 per bottle, what will happen to quant
Hi, I''m a PhD student in empirical finance I’m trying to conduct bivariate nonlinear conintegration tests using threshold Vector Error Correction (TVEC) methodology (Hansen and Se
goldfield quandt test solution
Problem: (a) Differentiate between linear and log-linear model. (b) Distinguish between type I and type II errors. (c) (i) A bulb manufacturer claims that its bulbs last
Factor that affect the volume of production
Hello I am a PostGrad student. Need some help in the coursework
effect on of multicollinearity.
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