I. Title page.
II. Abstract. This should be less than 50 words and summarize the topic, methodology, and main findings. It
should appear on your title page.
III. Introduction. This section should state the nature and objectives of the project along with a brief review
any relevant literature. Make sure to provide some background or motivation for why your project is
IV. Description of the model. The model should be clearly stated and any equations carefully explained.
should write out the econometric model you plan to estimate, and discuss the expected impact of the
variables in your model.
V. Data description and model estimation. You should use the techniques developed in class to analyze
data and estimate your model. Make sure to describe the dataset you are using by providing summary
of important variables. Your results should be reported and discussed in this section and could include:
parameter estimates, standard errors, t-statistics, F-statistics, R-squared, tests for autocorrelation,
heteroskedasticity, and possible multicollinearity, as appropriate.
VI. Conclusion. Review the major findings as well as possible extensions for future work. Make sure to
any limitations of your approach as well as alternative explanations of your results. Policy implications, if
could also be included in this section.
VII. Tables and graphs. Your paper must include at least one table and one graph. The tables and graphs
be well-labeled and accessible to the reader—do not merely print out your regression output with cryptic
Appendix If you have a lot of regression results or other details in your theoretical/statistical model that
be included yet, they may distract the reader, you may include them in an appendix.
only need section 4 and 5