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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 independent variables) in your model. Write an equation to specify this model. Explain the theoretical underpinnings of the model you have specified. Why is it important to study/research the relationship described by the model? Who do you think should be interested in the results? Based on the theory, explain how each independent variable is expected to affect the dependent variable (i.e., the expected signs for the slope parameters in the model).
Describe how all the variables are defined.
If there are any explanatory variables that are qualitative in nature, define the dummy (or binary) variables that can be used to incorporate these factors into the model.
Explain what type of data you would use to estimate the model - time series, cross-section, or panel data.
remedial measure of multicolinearity
Need to run MGARCH (system) in SAS or other software. Have data.
cost benefit decision invest in college undergraduate 5 years
A city government wants to raise $3 million by issuing bonds. By ballot proposition, the bond's coupon interest rate was set at 8% per year with semiannual payments. However, marke
Replicate the estimations in Table 2 on page 82 of Graddy (1995), but excluding the data of King Whiting.
what are the test for heteroscedasticity?
A chance sample of visitors to a National Park was interviewed regarding their impressions of the Park. Of 200 interviewees, 120 said that they would probably make a return visit
Profit maximization is theoretically the most sound but practically unattainable objective of business firms. In the light of this statement critically appraise the Baumol’s sales
if there is multicollinearity so why we can not estimate the value of parameters?
usefulness of time series in a business with a detailed explanation
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