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In a study relating college grade point average to time spent in various activities, students are asked how many hours they spend each week in four activities: studying, sleeping, working, and leisure. Any activity is put into one of the four categories, so that for each student the sum of hours in the four activities must be 168. The regression model is given by
GPA = β0 + β1study + β2sleep + β3 work + β4 leisure +u
a) Does it make sense to hold sleep, work, and leisure fixed while changing study? Why or why not?
b) Explain why this model violates the assumption of no perfect collinearity.
c) How could you reformulate the model so that its parameters have a useful interpretation and it satisfies the no perfect collinearity assumption?
explain the method with an example
QM2 Econometric Project As part of the course requirements you have to undertake an econometric evaluation of an economic issue using data that you have gathered either from the ho
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.Suppose that you have 150 observations on production (yt) and investment (it), and you have estimated the following ADL(3,2) model: (1 – 0.5L – 0.1L2 – 0.05L3)yt = 0.7 +
Y1=Y21Y2+Bx+U1 Y2=Y21Y1+U2 First equation is demand and second is supply equation,can first equation be identifiable outline the method
Hedging ?nancial risk is a very important practical issue in economics. In this exercise, you will derive your optimal hedge ratio, assuming that you are an expected utility maxim
effect on of multicollinearity.
Plot the appropriate short run and revenue curves ( you may need more than one diagram, and tables) to determine at which price and output levels "Draw Ltd", would achieve:
how much it costs to make this project?
how to find the relationship for a simple linear model?
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