Impact of Log GDP Per Capita on Life Satisfaction Essay
Your question focuses on a relationship between one variable Y and another variable X. Through- out the paper, you need to use the same (Y, X) or their functions. (Lets say you are interested in the effect of educ on income, where income is annual household income and educ is years of edu -cation. You need to regress a function of income on a function of educ as well as other covariates throughout the paper. An example of functions include 1{income ? $26, 200}, log(educ) and so on.) The question needs to be What is the effect of X on Y ? or Can X help to increase Y ? or something similar. It should not be How we can predict Y ? or How can we explain the17 variation of Y ?.1. In the first submission, you upload a draft. (I expect it is at least 2 pages.) 2. In the second submission, you upload a draft. (I expect it is at least 8 pages.) 3. You follow the instructions in this syllabus and in the Canvas announcements. 4. No code in the main text. No file name in the main text. No URL in the main text.6 Do not use a bulleted list or a numbered list in the main text.8 5. Your final paper has at least the following sections: Title, Abstract, Introduction, Data, Results, Conclusion, References, and Appendix. You use each section effectively. 6. Graders can understand what you want to say. It does not include any Stata command (or other11 programming languages) in the main text. 7. Your introduction specifies a question that you try to answer. It explains why the question is important13 and to whom it is important. Do not say that the question is important to you. (I expect the14 introduction to be around 3 pages.) 8. Your introduction cites more than 5 references. They need to be research article/chapter/book. You16 explain why your analysis is related to theirs. You should not cite my lecture notes. 9. Your final paper explains a dataset well with at most 1 page in the main text (e.g., dataset name, sample size, who collects, summary statistics and so on.) You can write more in the appendix. 10. You have one OLS regression with a single regressor. You interpret the regression result correctly. 11. You have at least three OLS regressions by adding regressors to the regression in Item 10. All of them have multiple regressors and nonlinear function forms. You explain why you want to run different regressions with multiple regressors, instead of the regression in Item 10. (See Section 6.8.) 12. You interpret the regression results correctly. (Which parameter is the parameter of interest?) 13. You conduct at least one hypothesis testing for the single restriction. You need to interpret the hypothesis testing results correctly. 14. You conduct at least one hypothesis testing for the multiple restrictions. You need to interpret the hypothesis testing results correctly. 15. You point out a potential endogeneity issue in the OLS regression analysis.7 You explain how you could solve the potential endogeneity issue. (This question asks you for a hypothetical solution. You need to come up with one example of instrumental variables or one example of data collections. It is ok that your dataset does not have such variables.) 16. You use either logit/probit or fixed-effect regression. Explain why you use it instead of OLS. 17. You interpret the results of logit/probit or fixed-effect regression. 18. In the Conclusion section, you explain well what you have done. 19. You use at least one scatter plot with a simple regression line. The plot should be self-contained so that a grader does not need to read the main text to understand the information in the figure. (If your dependent and independent variables are binary, we can use a box plot to visualize your data.) 20. Your use at least one table about the multiple regression. The table should be self-contained so that a grader does not need to read the main text to understand the information in the figure.
