ECO220 EMPIRICAL ASSIGNMENT 2 2022
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ECO220 EMPIRICAL ASSIGNMENT 2
2022
Objective: For the second empirical assignment, you are to conduct your own study using a linear regression model. You may also use other graphs/charts/techniques discussed in the lectures to help the reader (marker) understand the story you are trying to tell with a dataset.
Instructions:
• The word limit is 1000 for this assignment. This is about 4 pages double spaced in a reasonably sized font.
• The word limit does not include the output, graphs and tables that you may include in your analysis.
• Submit your essay and code on Quercus. If you used an external dataset, submit the csv/excel file as well.
• I strongly recommend that you use a data set from the wooldridge package in R.
• You may also use or gather your own data set, but this is not necessary or recommended at all.
General Outline:
Introduction |
• What is your research question? |
Data/Model |
• Which variables will you include in your regression? Why? • What data will you be using to measure those variables? • What assumptions will you be making for your model? |
Analysis |
• What are the results of your model? • How do the results answer your research question? |
Conclusion/Reflection |
• Was it what you expected? If not, why do you think this is the case? • Are there potential areas where your results could be biased? |
Advice/Things to Know:
• You will find the documentationin this linkuseful in determining which dataset you want to use from the wooldridge package.
• Note, not every dataset in the package can be run using a linear regression. For example, there are special considerations you have to make when working with time series, so you may want to avoid those data sets.
• Getting your own data and forming your own research question is a very difficult task; it is also time consuming. The purpose of me recommending the wooldridge datasets is to lighten the burden of having to come up with a research question from scratch.
Research Question [5 marks]
• Does your research question make sense?
• Have convinced your reader that your question is important?
Empirical Strategy [25 marks]
• Did you successfully translate your research question into a model?
• Is it clear to the reader why and how you selected your model?
• Are the variables you included relevant to your research question?
• Are you drawing the right conclusions from the model?
• Is the evidence and analysis that you are conducting relevant to your research question?
• Have you utilized your econometric toolbox sufficiently in answering the research question?
Statistical Aptitude [10 marks]
• Is your model statistically sound?
• Are the assumptions in your model clear?
• Are the assumptions you made appropriate for the data?
• Have you addressed and discussed any weaknesses in your model?
Coherence [10 marks]
• Does your essay flow logically or is it all over the place?
• Do you have errors everywhere and incomplete sentences?
• Did you cite any sources that you used to complete the essay?
2022-08-13