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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.
You are a property insurer and one of your potential clients, whose current wealth is $450,000, wants to insure her $250,000 house. The chances of the house burning down in any gi
You are gambling. There is a white urn in front of you, which contains a total of 100 black and white balls. You are blindfolded, get to pick one ball randomly, and see which color
prove that summation k =0 and summation kxi=1
if there is no autocorrelation what will be done
Problem: a) Using a financial or economics theory, determine a simultaneous structural model and a recursive model, explaining each variable used in the models. b) Using
what are the test for heteroscedasticity?
estimate the determinants of demand of a firm or several firms within a particular industry or country
Assume the following table gives the joint PDF (probability distribution function, not Adobe document!!) of two discrete variables, x and Y. Vari
Need to run MGARCH (system) in SAS or other software. Have data.
The tab-delimited text file C359A1S1Q2.txt contains daily prices for the South Korean Stock Exchange Index (KOSPI) from 4/7/2006 (observation 1) to 11/6/2010 (observation 977). Alt
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