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2 Brief report guideline • [10 points.] What is your research question? • [10 points.] What is your estimating equation? • [20 points.] Describe why you want to add each of the regressors you choose. Why is it important to add them? • [20 points.] Describe the expected signs of each of the coefficients. • [40 points.] What is your source of data? Explain where you obtain each of the variables you will use. Ideally, there should be several control variables in your estimating equation. – Possible data sources: ∗ TU¨ ˙IK, World Bank database, Consumer Population Survey (CPS data). ∗ You can check the databases of the following economics journals and use the dataset of one of the papers published there : · Quarterly Journal of Economics, Journal of Political Economy, Review of Economic Studies, American Economc Review, Econometrica. · Just Google Journal Name Database and you will find the relevant database. ∗ You can choose any other dataset of your interest.
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While longer papers are accepted, it is better to keep the paper length around 5 pages. • [10 points.] Motivation–What is your research question? Why should we care about your research question? Why is it an important topic to study? The more scientifically you motivate your paper (i.e., by citing scientific results), the better it is. • [10 points.] Literature Review– Cite a few papers that study your topic of interest. What do they find? • [20 points.] Data – What is your data source? Describe why you want to add each of the regressor you choose. Why is it important to add them? Describe the expected signs of each of the coefficients. – Provide a summary statistics table (Report mean, standard deviation, N, minimum value and maximum value for each of the variables in your sample). Make sure that you clean the data–drop missing values. (fr example, negative values for education would mean that something is wrong. Make sure you drop such observations and report how many observations you dropped). • Methodology – [10 points.] Which econometric method are you using to answer your research question? Under which assumptions your estimates will be unbiased and consistent?