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Consider a Simple Linear Regression Model (SLRM) of the form y= a1+a2X+e where e ~ N(0,σ2)(Use the assumptions outlined in our class and available for review in the lecture notes posted on RamCT to answer the following questions)
(a) Identify the dependent variable in this model. Is it random? If so, how is it distributed (what is the mean and variance)? Is it observable or not?
(b) Identify the parameters of this model. Are they random? If so, how are they distributed (what is the mean and variance)? Is it observable or not?
(c) Identify the error term in this model. Is it random? If so, how is it distributed (what is the mean and variance)? Is it observable or not?
what is collinearity?
Suppose a small open economy is characterised by the following equations/information: Y =6K 0 L 1-α K 0 = 30,000 L 0 = 10,000
(a) Describe all tests that you need to undertake prior to working with time series data. (b) Consider the following regression result: Standard Errors: (6.7525)
what are the test for heteroscedasticity?
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goldfield quandt test solution
demand function(qd)=650-5p-p2 where p=10
What trends do you see in the Economic, Political, and Cultural environment of society that will affect the industry in the future? Answer) The trends that will affect the indus
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 invol
how can the factors of production be occupationally mobile
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