What we really care about is that have well-built regression

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Reference no: EM133811002

Homework: Economics Writing

A. A clear introduction (1-2 paragraphs) describing your trade issue. You should clearly state your research question (E.g., how does X affect Y?), and then explain why it is interesting/worth studying. Tell us how you plan to study the question, and relate your question with the theories you've learned in class. Think of this introduction as the intro paragraphs in your final draft--if you do well this time, you can just use the content for your first draft and final draft!

B. A draft of your data section: this time, the expectation is higher than in homework 1. You need to:

a. Tell us the data source(s) you are using, the years of data you plan to use, and the variables you will use.

b. What is your Y variable? What is your X variable? What control variables (on the right hand side of the regression model) do you plan to use?

c. Plot your data: You can do the plot however you want (Excel, R, Stata, etc.). For this homework, we won't put too much emphasis on the plot. We will, however, run 1 or 2 workshops (after the spring break) on using RStudio to do empirical analysis, and we will have a higher expectation about your plot in homework.

d. You can plot the relationship between X and Y using your data. Alternatively, you can plot the Y variable (e.g., Mexico's export value of automobiles to the US) across time. Plotting the data gives us a better understanding of your dataset.

C. Your regression model: clearly write out your regression equation: Y=b0+b1x1+b2x2+......+error term. Tell us what's your y, x1, x2 variables. Also tell us how you plan to interpret the results: e.g., what does b1 represent? how are you going to interpret the coefficients?

D. For this homework, you don't need to actually run the regression and produce the results (yet)--although you are welcome to do so if you want. What we really care about is that you have a well-built regression model, and you clearly describe the variables and the coefficients.

Reference no: EM133811002

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