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course_schedule.Rmd
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---
title: "Course Schedule"
description: "Weekly schedule for the GEOG 279 course."
---
[Course Syllabus](syllabus/GEOG279_Syllabus_Fall_24.pdf)
| **Week** | **Day** | **Topic** | **Readings** | **Slides** | **Notes** |
|----------|--------------|---------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|-----------------|
| 0 | Thursday | Why causal analysis? | | [Why causal analysis? Slides](slides/Intro_to_causality.pptx) | |
| 1 | Tuesday | Potential outcomes framework | [Ferraro et al., 2018](https://www.pnas.org/doi/full/10.1073/pnas.1805563115) <br> <span style="color: gray; font-style: italic;">Skim: [Holland, P.W. (1986)](https://doi.org/10.2307/2289064), "Statistics and Causal Inference."</span> | [The Challenge of Impact Assessment Slides](slides/1B - The Challenge of Impact Assessment.pptx) | |
| | Thursday | <span style="color: red;">**No Class**</span> | | | <span style="color: red;">No Class</span> |
| 2 | Tuesday | Causal Diagrams | [Brodie, J.F., et al. (2023)](https://www.nature.com/articles/s41586-023-06410-z), "Landscape-Scale Benefits of Protected Areas for Tropical Biodiversity." <br>[The Effect Book](https://theeffectbook.net/index.html) (**ch6 & 7**) | [DAG Slides](slides/Directed_Acyclic_Graph_(DAG).pptx) | |
| | Thursday | Causal Diagrams | [The Effect Book](https://theeffectbook.net/index.html) (**ch6 & 7**) | | **Assignment 1 due Thurs, Oct 10 (includes paper topic)** |
| 3 | Tuesday | Randomized Control Trials (RCT) and Power Calculations | [Impact Evaluation in Practice](books/impact_eval_book.pdf) (**ch4,p63-86**) | [Randomized Control Trials Slides](slides/2A - Randomized Control Trials.pptx) | |
| | Thursday | Randomized Control Trials (RCT) and Power Calculations | [Impact Evaluation in Practice](books/impact_eval_book.pdf) (**ch15,p261-287**) | | |
| 4 | Tuesday | Matching and Synthetic Controls | [Honey-Rosés, J., et al. (2011)](https://conbio.onlinelibrary.wiley.com/doi/10.1111/j.1523-1739.2011.01729.x) <br> <span style="color: gray; font-style: italic;">Skim: [Rubin, D. B. (1974)](journals/1975-06502-001.pdf), "Original Work"</span> | [Matching Estimators Slides](slides/2B - Matching Estimators.pptx) | |
| | Thursday | Matching and Synthetic Controls | [Alberto Abadie, Alexis Diamond & Jens Hainmueller (2012)](https://www.tandfonline.com/doi/citedby/10.1198/jasa.2009.ap08746?scroll=top&needAccess=true) | [Synthetic Controls Slides](slides/Synthetic Controls.pptx) | |
| 5 | Tuesday | Differences-in-Differences (DID) and Staggered roll-out | [Wauchope HS, Jones JPG, et al. (2022)](https://pubmed.ncbi.nlm.nih.gov/35444280/) | [Difference-in-Differences Slides](slides/3A - Difference-in-Differences.pptx) | |
| | Thursday | Differences-in-Differences and Staggered roll-out | [Jonathan Roth, Pedro H.C. Sant’Anna, Alyssa Bilinski, John Poe. (2023)](https://doi.org/10.1016/j.jeconom.2023.03.008) |[New DiD Slides](slides/New DiD.pptx) | **Assignment 2 due Tues, Oct 29** |
| 6 | Tuesday | Instrumental Variables and Regression Discontinuity Design | [Mellon, 2024](https://doi.org/10.1111/ajps.12894) | [IV Slides](slides/3B - Instrumental Variables.pptx) | |
| | Thursday | Instrumental Variables and Regression Discontinuity Design | [Noack, Frederik, Ashley Larsen, Johannes Kamp, and Christian Levers. (2022)](https://onlinelibrary.wiley.com/doi/full/10.1111/ajae.12274) | | **Assignment 3 due Tues, Nov 12th** |
| 7 | Tuesday | Standard errors and spatial considerations | | [RDD Slides](slides/4A RDD.pdf) | |
| | Thursday | | | | |
| 8 | Tuesday | Remote Sensing and Machine Learning (ML) in Causal Analysis | [Proctor, J., Carleton, T., Sum, S. (2023)](https://www.nber.org/papers/w30861?utm_campaign=ntwh&utm_medium=email&utm_source=ntwg3) [Proctor, J., Carleton, T. Slides](slides/Proctor, Carleton and Sum.pptx) | [Spatial Causal Slides](slides/Spatial causal.pptx) | |
| | Thursday | Machine Learning (ML) in Causal Analysis | [Baylis, K., T. Heckelei, H. Storm. (2021)](https://doi.org/10.1016/bs.hesagr.2021.10.007) [Avelino et al 2016 Goldilocks and the Raster Grid](journals/Avelino et al 2016 Goldilocks and the Raster Grid.pdf) | [ML in Causal Analysis Part I Slides](https://docs.google.com/presentation/d/1DSut2pG6LBtBYhNHDiewveYdyzx3dagcj7lQVdCt1lw/edit?usp=sharing) [](https://colab.research.google.com/github/agpo-ilr-uni-bonn/PromotionskollegModule6800_2024/blob/master/6800_Day1.ipynb) | **Assignment 4 due Thurs, Nov 30** |
| 9 | Tuesday | Machine Learning (ML) in Causal Analysis | | [ML in Causal Analysis Part II Slides](https://docs.google.com/presentation/d/1LPo1IFZNeWcr2La1jGVOnred3IbmSePWlE6GA_l3EsU/edit?usp=sharing) [](https://colab.research.google.com/github/agpo-ilr-uni-bonn/PromotionskollegModule6800_2024/blob/master/6800_Day4_5.ipynb) | |
| | Thursday | <span style="color: red;">**No Class** (Thanksgiving)</span> | | | <span style="color: red;">Thanksgiving</span> |
| 10 | Tuesday | Final Presentations | - | [Slides](#) | **Final Paper Proposal due Dec 9th** |