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(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) (0.8229) (0.0807)
R-squared = 0.9835; R-bar square = 0.9631 df = 7 F-ratio= 102.40
where Y denotes consumption (in rupees); X1t denotes income (in rupees) and X2t denotes income to the square.
(i) What is the problem with this regression? Explain in details.
(ii) With reference to your answer to the above, how would you detect such problem?
(iii) A researcher wants to model the demand for Nokia mobiles in Mauritius. If you were the researcher, clearly provide a model type along with the expected signs for each of the variables you considered.
volatility
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
The following regression was estimated to explain the inflation rate in the USA. The data set contains annual observations from 1970 to 2010. Inft = 2500 + 50*Xt +
Need to run MGARCH (system) in SAS or other software. Have data.
Replicate the estimations in Table 2 on page 82 of Graddy (1995), but excluding the data of King Whiting.
You have won a contest and are allowed to choose between two prizes. One option is to receive $200 now and another $200 a year from now. The second option is $150 now and $255 a
The firm is considering manufacturing a second product in its factory alongside the first. The demand functions for the two products are: Q d1 =180 - 4P 1 Q d2 =90
Provide a clear statement of the research topic and the underlying relationship that you are modeling. Identify the dependent variable and the independent variables (minimum of 3 i
Determine the four stationary points of the function Z= 2x 3 +y 3 -18x -12y +50 according to whether they define a maximum, minimum, or saddle point.
Hello I am a PostGrad student. Need some help in the coursework
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