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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.
You are a property insurer and one of your potential clients, whose current wealth is $450,000, wants to insure her $250,000 house. The chances of the house burning down in any gi
Why use auxiliary regression? What are the benefits of using it?
examples
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explanation on diagnostic test in time series
Problem: (a) Write down the equation for symmetric GARCH and clearly explain its components. (b) Explain the term ‘volatility clustering'. (c) How would you model leverag
Gruen&Pagan(1999) "The Phillisp Curve in Australia" identified that NAIRU is non-constant over the period. Provide an econometrics evaluation of the claim that NAIRU is non constan
You are considering a new line of consumer products. You expect revenues of $14 million in each of the next ten years, while expenses are half of revenues (all cash flows are assum
energy consumption and economic growth
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