Content is most important. Remember this is a class about using observational data to estimate causal effects, so focus on discussing literature that strives to define and estimate causal effects, evaluate how credible the estimates in the study you replicate are as causal effects, and how your extension adds to our understanding, or improves upon the replication. Step 2 : Powerpoint Include: a title slide, a slide on the literature, a slide on your regression model, and few slides for tables of variable descriptions, summary statistics and regression results. That’s it in a nutshell. More guidance is available below: Presentations: A good rule of thumb to organize your presentation is to allocate one slide to every minute of presentation, certainly not more. So say you shoot for 10 slides: 1.) Title page, 2.) Background and Literature Review (2 pages), 3.) the regression model / empirical approach (1-2 pages) 4.) Table of Variable Labels/Definitions 5.) Table of Summary Statistics/s and Variable Relationships(1-2 pages) 6.) Table of Regression Results (1-2 pages) 7.) Conclusions and Plan for future research (1-2 pages) Avoid distracting colors and themes, don’t put too much text on a slide, don’t make the numbers you want people to see in your tables tiny, don’t read off your slides (the audience can read them). Do aim to teach the audience something about the econometric methods and data used in the literature you have reviewed, and explain your research findings clearly. In terms of what concepts you present, see the following rubric: Criteria of Criteria for Presentations Title slide 5% Slide 1: Reveal the research question to the audience clearly and at the outset. Motivate interest. Literature Review and Economic Theory 35% Slide 2: In this part, briefly discuss the relevant theory. A brief but clear qualitative description of the theory is adequate. On this slide, list up to three references, and discuss in some detail the one that provides the single best discussion of the estimation of the causal effect of interest. Explain why (i.e. discuss ways the state-of-the art study handles a well-defined econometric problem such as Omitted Variable Bias.) The literature review must be integrated and not merely an annotated bibliography. Data and Methods 30% Slides 3, 4 and 5: Present the equation you will be estimating here. Describe the data; even though I am grading it and I know where the data comes from, write it for a more general audience. Describe the estimation subsample, and present the tables of Variable s and Summary Statistics. Results 25% Slide 6: Present regression results in a table with several models in different columns. Indicate which of the models is your best attempt at replicating the previously published model, or indicate which is the best attempt to estimate a causal effect Interpret the results for the audience in terms of the sign, magnitude, economic and statistical significance, as well as the implications for the theory discussed on slide 2. Conclusion 5% Slide 7: Acknowledge any limitations. Suggest directions for improvement in future research. Discuss policy implications and how your results can be used in a cost-benefit analysis, if applicable.
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