🌍 Week 11 Homework — Feedback
🌍 Week 11 Homework — Feedback
Student: Michele Nascia Assignment: VAR Estimation and Identification
✅ Overall Assessment
Result: ✅ Pass
Correct and concise submission. The code implements the 3-variable VAR correctly and generates the required Impulse Response Functions for the monetary policy shock.
🔍 Task-by-Task Check
| Task | Description | Status | Notes |
|---|---|---|---|
| 1.1 | Data Loading & Cleanup | ✅ | Correctly loads and transforms data |
| 1.2 | Data Transformation | ✅ | Correctly computes annualized growth rates |
| 1.3 | Construct Data Matrices | ✅ | Correct setup of VAR matrices |
| 1.4 | OLS Estimation | ✅ | Correct matrix OLS estimation |
| 1.5 | Extract A1 Matrix | ✅ | Correct extraction of A1 |
| 1.6 | Residuals & Sigma | ✅ | Correct covariance calculation |
| 1.7 | Identification (Cholesky) | ✅ | Correct Cholesky decomposition |
| 1.8 | Compute IRFs | ✅ | Correct loop for IRF generation |
| 1.9 | Plot IRFs | ✅ | Generates clear plots for the rate shock |
| 1.10 | Save Figures | ✅ | Saves the figure correctly |
📈 Technical Implementation
- Efficiency: The code is compact and uses efficient matrix operations.
- Correctness: All steps of the VAR analysis are implemented correctly.
💬 Style & Clarity
- Cleanliness: The code is easy to follow.
- Naming: Variable names are standard and clear.
📊 Visual Output Assessment
- Plots: Clear subplots for the response to the rate shock.
- Titles: Correctly titled plots.
✅ Suggestions for Improvement
- Generalization: The IRF calculation could be generalized to compute responses for all shocks, not just the third one, to allow for a full system analysis.
🎯 Summary
Good work. The submission meets the requirements and demonstrates a correct implementation of the VAR model.
Grade Level: ✅ Pass (10/10 tasks correct)