Using the dataset, produce a graph of per capita GDP for Argentina, China, and Canada from 1965 to 1995. Is inequality between these countries increasing? What is your evidence? Make sure that your argument full explains how to verify whether inequality between countries is increasing or not. Hint try using the code to produce the graph:

Two-way (line gdppc year if country=="Argentina", legend(label(1 "Argentina") label(2 "Canada") label (3 "China"))) (line gdppc year if country=="Canada") (line gdppc year if country=="China")

Then, make four scatter plots comparing per capita income in the year 2000 (on the Y-axis) to corruption, to political rights, to rule of law, and to socio-political instability. Note that these explanatory variables are "ordinal," meaning that we don't actually know what moving up one unit on, for example, the political rights scale means. All we know is that one level has more "rights' than another. What relationships come through in these plots? Which of the relationships appears to be the strongest? Formulate a hypothesis for why this relationship might be this strong. Report a multiple regression to see if your graphical interpretation of the strongest relationship is correct when controlling for other variables.