State very clearly the problem/issue you are investigating. Mention why this is an interesting and important exercise. Also mention what you hope to learn at the end of your analysis and how your analysis might be helpful to others.
statistics
Description
The
paper should have the following elements.
1.
Identification of the problem/issue
2.
Theorization of the problem to as much detail as possible
3.
Construction the mathematical model
4. General
assumptions about the linear regression model and the parameters for your model
5.
Description, method of collection, and source(s) of data
6. References
FURTHER DETAILS OF THE COMPONENTS
1. Identification of the problem/issue
State
very clearly the problem/issue you are investigating. Mention why this is an interesting
and important exercise. Also mention what you hope to learn at the end of your
analysis and how your analysis might be helpful to others.
2. Theorization of the problem/issue
Give
a theoretical description of the relationship between/among the variables in
question to as much detail as possible. Example Keynesian consumption function.
3. Construction of the relevant mathematical/regression
model
Present
the variables and the relationship between/among them in mathematical form.
Define them and explain which is what.
Yt =
a + b Xt
+ U
4. Assumptions about linear regression model
in general and the parameters of your model
List
general assumptions of the classical linear regression model from your text.
Under
your own theory, what do you assume about the relationship between/among the dependent
and explanatory variables and the parameters of the model?
5. Description, method of collection, and
source(s) of data
What
kind of data you are going to use to estimate your model? Define your data.
What is your sample size? Why is it so?
Give
the detailed source(s) and/or collection method of data.
6. References
Cite
all books, magazines, articles, websites etc.
