📘 ECON 320 — Final Project Report Guidelines

Submission: One .html file rendered from a Jupyter Notebook. The report should read like a concise mini research paper with narrative + code + tables + figures.

🧩 Format & Submission

Submit a single .html exported from your notebook.
Include code for data work and estimation, with short Markdown explanations.
Keep visuals clean and label axes/units clearly.

🕒 Suggested Structure (with quick examples)

Section	What to include	Tiny example
1. Title & Introduction	State your research question and why it matters.	“What is the effect of class size on test scores? We study U.S. 4th grade districts (2015–2019) to inform policy on optimal class sizes.”
2. Data Description	Source, unit, key variables, and descriptive stats/visuals.	Outcome `score`, main regressor `class_size`, controls `income`, `urban`. Show a summary table and a histogram of `score`.
3. Empirical Model	Baseline equation & brief justification. Note multicollinearity & OVB risks.	y = β₀ + β₁·class_size + γ′controls + u. OVB risk: teacher quality unobserved. Multicollinearity risk: `income` vs `urban`.
4. Results	One main table/figure, interpret β₁ in plain English.	“A 1-student reduction per class is associated with +0.15 points (SE=…).”
5. Robustness & Discussion	One simple alternative spec or subsample; limitations.	Add `spending` as a control; β₁ similar. Limitation: measurement error in class size.
6. Conclusion	2–3 bullets + one implication.	Smaller classes improve scores; effect largest in low-income districts; target crowded schools.

✅ Checklist

Clear question & motivation
Data summarized with at least one table + one figure
Baseline model stated and justified
Awareness of multicollinearity and OVB
One simple robustness/diagnostic
Results in plain English
Single, tidy .html submission

Tip: Keep sections concise; prioritize clarity over volume.