- What question are you trying to answer? Why is it important? Or why is it interesting?
- What is your dependent variable?
- What are your independent variables (must have at least two, and the sample size must be at least 50)?
- How do you model their relationship? i.e. what functional form will you use? You have many choices: OLS (linear, quadratic, dummy variable, log-linear, log-log), IV regression, Difference-in Difference, Fixed effect, Probit, and so forth). Running a simple linear regression model is totally acceptable for the course.
- Where will you get the data? After you get the data, reorganize it so that it is ready for regressions.
- Search for similar works
- Describe what these studies find using your own words.
- How is your research different? What is your contribution? (even if you only make a marginal contribution)
- Report regression results in a table. Include coefficients, standard errors, significant levels, number of observations, and R-square estimates.
- Interpret your coefficients.
- What is your conclusion based on the results? What are the possible problems with your findings?
- Do not try to be ambitious. As long as your paper economically make sense, employing a simple linear regression model is fine for the course.
- If you do not want to write an original paper, you have another choice: replicate the empirical results of an existing study or updating them by applying a different econometric model or using different data sets (updated data or data from different country/state etc.) Then you need to report to me whether you successfully replicated the paper (100% replication is very difficult). If not, what are the reasons for the different results?
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