ADEC 7320 - Econometrics
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ADEC 7320 - Econometrics
Final Course Project Requirements
The course project will be done with the members of your Critical Thinking Group, and your team may choose your own topic by yourself.
The purpose of this final project is to explore, analyze and model a real-world data set of your own interest using the econometric modeling techniques learned in the course. The real- world data set can be either:
• A data set that you have personally collected (e.g., at your workplace, internship, etc.).
• An open-source data set that you have downloaded from the Internet (Kaggle, DrivenData, InfoChimps, CDC, NIH, NHANES, MEPS, BRFSS, etc.).
• Textbook exercises are not suitable for course projects.
You will need to develop a problem statement and research question(s) based on the data set that you have obtained. You must survey the state-of-the-art literature and research developments (published in journal papers, not conference papers) dealing with empirical studies, algorithms, or methodologies related to your problem.
You will need to achieve two deliverables: 1) a recorded presentation and 2) a final report. These deliverables will be submitted on Canvas.
Deliverable 1: Presentation. You will have 10-15 minutes to present your work. The final project presentation should be recorded and submitted during the last week of the term. Please upload the completed project presentation slides (in PDF format) and recording (in MP4 format) on Canvas. In the presentation, you shall:
• Introduce yourselves and describe your data set, problem and research question(s).
• Explain your objectives, challenges of your work, proposed methodologies, and the assumptions you made while conducting econometric modeling and other analyses.
• Provide an overview of your approach and conceptual model (please do not present your code directly).
• Describe the results you obtain, and summarize the current achievements, limitations and possibility of future works.
Deliverable 2: Final Report. The final project report should be similar to the scholarly papers you read in the literature. The report should not exceed 12 single-spaced pages. (Appendices do not count in the page limit). Please number the pages. Please upload the completed project report (in PDF format) on Canvas. The report should (at least) include the following sections:
• Abstract: use 250 words or less to summarize your problem, methodology, and major outcomes.
• Key words: select a few key words (up to five) related to your work.
• Introduction: describe the background and motivation of your problem.
• Literature review: discuss how other researchers have addressed similar problems, what their achievements are, and what the advantages and drawbacks of each reviewed approach are. Explain how your investigation is similar or different to the state-of-the- art. Please do not discuss paper one at a time, instead, identify key characteristics of your topic, and discuss them in a whole. Please cite the relevant papers where appropriate.
• Methodology: discuss the key aspects of your problem, data set and econometric model(s). Given that you are working on real-world data, explain at a high-level your exploratory data analysis, how you prepared the data for econometric modeling, your process for building econometric models, and your model selection.
• Experimentation and Results: describe the specifics of what you did (data exploration, data preparation, model building, model selection, model evaluation, etc.), and what you found out (statistical analyses, interpretation and discussion of the results, etc.).
• Discussion and Conclusions: conclude your findings, limitations, and suggest areas for future work.
• References: be sure to cite all references used in the report (APA format).
• Appendices:
o Supplemental tables and/or figures.
o R statistical programming code.
2023-05-07