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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.
Replicate the estimations in Table 2 on page 82 of Graddy (1995), but excluding the data of King Whiting.
(a) What is a white noise process? (b) Distinguish between exogenous and endogenous variables, using examples. (c) What do you understand by simultaneity bias and can OLS
diff between Mrs and Mrts
1. (a) Consider a perfectly competitive industry that produces a total output of 190 units in the long run. Suppose there are n identical firms in the market. Each firm then produc
what meaning of limit pricing theory and its importance in industrial economics?
what is collinearity?
My question is that when we use Impulse response function and how to use it. Is it used along with some other methodology. What is the meaning of graphs of IRF?
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
how might short and long term goals between a business and the government differ?
Consider an equation to explain salaries of CEOs in terms of annual firm sales, return on equity (ROE, in percent form), and return on the firm's stock (ROS, in percent form): L
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