Paper 1: First DraftPrompt

Use the results from the first two assignments, what you have learned in class,and what you have learned from reading the papers and textbook for the course to answer the following questions.

•Did  assigning  a  person  to  get  an  encouraging  phone  call  increase  their  probability  of voting?


•Can we  get  an estimate  of the causal effect of  getting a call encouraging  you to vote on your  probability  of  voting  with  non-experimental  data  by  using  regression  to  adjust  for differences between people who got a call and those that didn’t (why or why not)?

[NOTA BENE: This is a paper about whether or not a non-experimental research design can be used to generate credible causal estimates. This is done by comparing and contrasting experimental estimates  and non-experimentalregression  adjustment  estimates. The  context has  to  do  with voting,but the focus of the paper should be empirical designs, notvoting.]

Structure of Paper

You can use the papers on the reading list as a guide for what a paper should look like. You can include your tables in the body of the paper or put them at the end of the paper. Your paper should be 10 pages long without counting tablesand you willwant to include the following sections:

1.Title: Your paper should have an informative title.

2.Abstract: One paragraphs that sums up the key elements of the paper. Write this first.

3.Introduction: 1-1.5pagesthat sums the paper up with more detail than the abstract. Should tell the  reader  why  the  questions  the  paper  answers  are  important  and  cover  data,  econometric methods, results,and conclusion.

4.Data: Describe the data you use in the analysis and how it was generated. You may need to do some research online.

5.Empirical Methods:  Describe  the  statistical  methods  used.  Include  the  equations  for  the regressions  you will run.Describe each part of the regression and what the coefficients will reveal. Describe the assumptions under which the results will generate causal effects.

6.Results: Describe and interpret your statistical findings.Be detailed.Discuss the robustness of your estimates.

7.Conclusion: Interpret your findingsand how they answer the motivating questions.