| Week | Day | Topic | Readings | Slides | Due dates |
|---|---|---|---|---|---|
| 0 | Thursday | Why causal analysis? | Why causal analysis? Slides | ||
| 1 | Tuesday | Potential outcomes framework | Ferraro et al., 2018 Skim: Holland, P.W. (1986), “Statistics and Causal Inference.” |
The Challenge of Impact Assessment Slides | |
| 1 | Thursday | Causal Diagrams | Brodie, J.F., et al. (2023) The Effect Book (ch6 & 7) |
DAG Slides | |
| 2 | Tuesday | Causal Diagrams | The Effect Book (ch6 & 7) | ||
| 2 | Thursday | No Class | |||
| 3 | Tuesday | Randomized Control Trials (RCT) | Impact Evaluation in Practice (ch4,p63-86) | Randomized Control Trials Slides | Assignment 1 due, Oct. 14th |
| 3 | Thursday | Randomized Control Trials (RCT) and Power Calculations | Impact Evaluation in Practice (ch15,p261-287) | ||
| 4 | Tuesday | Matching and Synthetic Controls | Honey-Rosés, J., et al. (2011) Skim: Rubin, D. B. (1974) |
Matching Estimators Slides | |
| 4 | Thursday | Matching and Synthetic Controls | Abadie, A., Diamond, A., & Hainmueller, J. (2012) | Synthetic Controls Slides | Assignment 2 due, Oct. 28th |
| 5 | Tuesday | Differences-in-Differences (DID) | Wauchope HS, Jones JPG, et al. (2022) | Difference-in-Differences Slides | |
| 5 | Thursday | Staggered Roll-out | Roth, J., Sant’Anna, P.H.C., Bilinski, A., Poe, J. (2023) | New DiD Slides | |
| 6 | Tuesday | Instrumental Variables (IV) | Mellon, 2024 | IV Slides | |
| 6 | Thursday | Regression Discontinuity Design | Noack, F., Larsen, A., Kamp, J., & Levers, C. (2022) | RDD Slides | Assignment 3 due, Nov 11th |
| 7 | Tuesday | Standard errors and spatial considerations | |||
| 7 | Thursday | Standard errors and spatial considerations | |||
| 8 | Tuesday | Special considerations when using remote sensing | Proctor, J., Carleton, T., Sum, S. (2023) Proctor, J., Carleton, T. Slides |
Spatial Causal Slides | |
| 8 | Thursday | Machine learning for causal inference | Baylis, K., Heckelei, T., Storm, H. (2021) Avelino et al. 2016, Goldilocks and the Raster Grid |
ML in Causal Analysis Part I Slides  |
Assignment 4 due, Nov 25th |
| 9 | Tuesday | Machine learning for causal inference | ML in Causal Analysis Part II Slides |
||
| 9 | Thursday | Thanksgiving :) | |||
| 10 | Tuesday | Final Presentations | - | ||
| 10 | Thursday | Final Presentations | - | Papers due, Dec 10th |