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Problem 1:
(a) Using examples explain the concept of cointegration.(b) Explain the term ‘stationarity' and its importance.(c) Differentiate between stochastic and deterministic trends?
Problem 2:
Write short notes on the following: (a) Unit root tests (b) 3 S's (c) Spurious regression (d) Dummy variable trap (e) CLRM assumptions
In a year, weather can impose storm damage to a home. From year to year the damage is random. Let Y be the dollar value of damage in a given year. Assume that 95% of the year's Y=$
What is the expected value and variance of y = 3x+2 knowing that E(X) = 8 and var(X) = 4.
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
question number one
(a) Explain what is meant by the term regression. (b) Describe the justification for the inclusion of a disturbance term in a regression analysis. (c) With appropriate exa
Consider a linear model to explain pricing of houses: Price = ß0 + ß1lotsize + ß2sqrft + ß3bdrms + u (1) E(u| lotsize, sqrft, bdrms)=0 Var (u| lotsize, sqrft, bdrms)=s2 lotsize4
explain the concept of cochrane-orcutt procedure
I could not understand the matrix of technical coefficents
reasons of lags
examples
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