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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.
t-ratio under multicolinarity
#qu3. People educational achievement is affected, among other factors, by the demographic characteristics of their households; the following multiple regression model was estimated
Problem 1. Consider the demand function Q(p 1 , p 2 , y) = p 1 -2 p 2 y 3 , where Q is the demand for good 1, p 1 is the price of good 1, p 2 is the price of good 2 and y is t
HI, I am currently working on my econometrics assignment which requires me to replicate the result of a published paper. I have been given the same data set as the paper therefore
do you write assignment or just help write assignments
Problem 1: a. Explain the meaning of regression and its usefulness. b. Distinguish between GARCH (1, 1) and asymmetric GARCH. c. Clearly explain the two tests used for
what is the mathematical origin of durbin watson test for autocorrelation
Define Dummy Variable and write its importance in Regression model.
Outdoor Travel Inc. needs to estimate the cost of capital for the evaluation of capital expenditures. A typical project is financed with 25% debt-to-value ratio (i.e., D/(D+E) = 0.
what meaning of limit pricing theory and its importance in industrial economics?
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