# More Naval Data

In Canvas you will find a dataset labeled RAP_naval_rep.dta. This is a slightly different version of the Crisher and Souva (2014) naval data set from a paper I published in 2017.

The variables are:

• “navycat” Naval Categories. A 4-tier categorical variable of naval power.
• “democ” A binary measure of democracy. 1 = Democracy, 0 = Non-democracy .
• “advecon” A binary measure of advanced economy using energy consumption. 1 = Yes, 0 = no.
• “lrgstate” A binary measure of large state using urban population. 1 = yes, 0 = no.
• “ton10” Total tonnage (in ten thousands). So, 10,000 tons would be shown as 1 ton.
• “energy” Continuous measure of energy consumption.
• “urbprop” Continuous measure of portion of total population in urban areas.
• “polity2” Continuous measure of democracy. Higher numbers means more democratic.

Here’s the assignment: I want you to evaluate some potential explanations for a state’s naval power. In other words, we are going to use the tonnage measure (ton10) as a dependent variable. So, we have a simple research question – what factors impact a state’s naval power. This will require you to conduct the three different types of bivariate hypotheses tests we’ve been using in class.

1. Is there a relationship between regime type and naval category? How did you come up with your answer?
2. Is there a relationship between advanced economies and naval category? How did you come up with your answer?
3. Is there a relationship between large states and naval category? How did you come up with your answer?
4. Do democracies have more tonnage than non-democracies? How did you come up with your answer?
6. Do large states have more tonnage than small states? How did you come up with your answer?
• Is there a correlation between tonnage, energy consumption, urban population, and the continuous measure of democracy? How is this different from what you found in the previous tests?
• What is the main weakness for these different tests?
• In a paragraph, sum up your findings.

The above questions can be answered without seeking outside academic resources (you should cite the textbook and the Crisher & Souva article). The Stata codes necessary for the above questions have all been discussed in class or were used in the in-class assignment.

Your paper is to be 2-3 pages long with typical formatting – double spacing, 12 point font, and 1 inch margins. Please include any graphs (you should include at least one scatter plot) as a separate page at the end of your paper with a proper title (Figure 1: XXXX). Graphs/figures do not count toward the 2-3 page count. You should include at least two tables as well.

Additionally, you should include Paper #1 with this submission. You should have been working on updating Paper #1 based on my provided feedback.

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