Welcome to the page for all things Week 1!
Lecture Materials
| Lecture slides | Resources |
|---|---|
| Lecture 1 (TUE): Intro. to Casual Inference | |
| Lecture 2 (THURS): Potenital Outcomes |
Lab Materials
| Lab Materials to Download | Lab Solution |
|---|---|
| Week 1 Lab | Week 1 Lab Solution |
Assignment Reminders
| Assignment Type | Assignment Title | Date Assigned | Date Due |
|---|---|---|---|
| Assignment 1 | Handout: HW1-LOBSTRS , Repository: HW1-LOBSTRS | 01/08 | 01/17 |
| Mini-Assignment | Topics of Interest - Spreadsheet (Add Topic/Study Here) | 01/08 | 01/12 |
| Reading - Mastering ’Metrics | A&P: Introduction & Chapter 1 | 01/02 | 01/07 |
| Reading - Applied Policy Study | Pages 1-3: Buntaine et al. (2024) , Glossary of Econometrics & Statistics Terms | 01/02 | 01/07 |
| In Class (Thursday) | Reading Quiz | 01/08 | 01/08 |
| Week 2 - Reading - Mastering ’Metrics | A&P: Chapter 2 | 01/08 | 01/15 |
| Week 2 - Reading - Generalized Linear Models | Carruthers et al., 2008 | 01/13 | 01/13 |
Assignment Submission and Rubric
- Submission: Submit assignments through
GradeScope - Question-specific guide: Each question has detailed grading criteria available on
GradeScope. Be sure to review these guidelines before submitting your work! - General rubric outline: For an overview of the grading criteria, refer to the assignment rubric - general outline
Extra Resources
Key Concepts (videos)
These short videos that accompany Mastering ’Metrics are a great resource for Chapter-1. The style is a bit extra, but they explain the key concepts clearly. If any of these concepts are unclear, I strongly recommend watching them (they may be relevant to the reading quiz tomorrow):
- Ceteris Paribus & Counterfactuals - 6 minutes
- Ommitted Variable Bias & Selection Bias - 9 minutes
- Experimental Design & Random Assignment - 10 minutes
- How to Read Econometrics Papers - 12 minutes
References
- Gelman, A., & Loken, E. (2013). The garden of forking paths: Why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis was posited ahead of time. Department of Statistics, Columbia University, 348(1-17), 3.
- Buntaine, M. T., Komakech, P., & Shen, S. V. (2024). Social competition drives collective action to reduce informal waste burning in Uganda. Proceedings of the National Academy of Sciences, 121(23), e2319712121.