You will write two essays in response to the questions below. Please answer either Question 1 or Question 2and (for everyone)
Question 4.Use all the technical skills you have developed thus far; remember to explain clearly what each variable measures, the units used, and the underlying concepts. Writing and presentation count as well. Each answer should be structured as an analytic essay. This means you need to make a clear argument that answers the question and you need to use data and statistical analysis to support your answer. Finally, make sure that all your figures and tables are nicely presented, appropriated titled and labels, with legends as necessary, and make effective use of color. The total length of your midterm, including all graphics and any statistical output, should not be more than 15 pages. You may single-space the text. Please leave standard 1-inch margins on all four sides.
1. Use the hw2.dta dataset to analyze Europe's economic standing compared with other continents on the globe.
How has income inequality between Europe, Asia, and Africa changed over the period for which you have data?
Construct answers using both population-weighted and unweighted measures.
Make sure to explain in detail how you know whether inequality is increasing or not.
Offer an interpretation of your findings.
2. Use the dataset inequality.dta to discuss whether inequality between Angola, Argentina, China, and Japan from 1975 to 2009 has increased or not.
Compare your answers using both population-weighted and unweighted country measures. Make sure to explain in detail how you know whether inequality is increasing or not.
Offer an interpretation of your findings.
3. Use the dataset corruption.dta to analyze the relationship between corruption and political instability across countries of the world.
Explain why countries that generally do a poor job controlling corruption may or may not experience more political instability.
[Hint: Consider the problem from a multivariate perspective.]
Illustrate your argument with additional specific evidence from Africa.