| Week | Date | Topic | Assignment |
|---|---|---|---|
| 1 | January 26 | Course Introduction & Research Design | |
| 2 | February 2 | Data Wrangling & Presentation in R | Assignment 1 Assigned |
| 3 | February 9 | Introduction to Causal Inference | Assignment 1 Due |
| 4 | February 16 | OLS, Confounders, & Simulation | |
| 5 | February 23 | Panel Data & Difference-in-Difference | Assignment 2 Assigned |
| 6 | March 2 | Instrumental Variables | Assignment 2 Due; Assignment 3 Assigned |
| 7 | March 9 | Experiments | Assignment 3 Due; Assignment 4 Assigned |
| 8 | March 16 | Regression Discontinuity | Assignment 4 Due; Assignment 5 Assigned |
| 9 | March 23 | Midterm | Assignment 5 Due |
|
|
March 30 | No Class; Spring Break | |
| 10 | April 6 | Matching | |
| 11 | April 13 | Synthetic Control | Assignment 6 Assigned |
| 12 | April 20 | Binary Outcomes | Assignment 6 Due |
| 13 | April 27 | Ordered & Multinomial Outcomes | Assignment 7 Assigned |
| 14 | May 4 | Selection | Assignment 7 Due |
| May 17 | Final Exam (9am - 11am) |
Recurrent Zoom link can also be found on Canvas. Please contact the professor/TA through Slack if any of the Zoom links break.
Recitation meets virtually most weeks on Wednesdays from 10:00am to 11:00am. Below is the schedule for when there is a lab.
Like the virtual lectures, recitation will take place on Zoom. The zoom link will be the same as the class meeting link. If the link breaks, the teaching assistant will post a new link through the #labs tab on Slack.
| Week | Date | Lab Topic |
|---|---|---|
| 1 | January 26 | No Lab |
| 2 | February 2 | Data Wrangling in R |
| 3 | February 9 | Data Visualization in R |
| 4 | February 16 | Reproducibility in R |
| 5 | February 23 | Panel & Diff-in-diff |
| 6 | March 2 | Instruments |
| 7 | March 9 | Experiments |
| 8 | March 16 | Regression Discontinuity |
| 9 | March 23 | No Lab - Midterm |
| 10 | April 6 | Matching |
| 11 | April 13 | Synthetic Control |
| 12 | April 20 | Bindary Dependent Variables |
| 13 | April 27 | Ordered/Multinomial Dependent Variables |
| 14 | May 4 | Review for Final |
The presentation is a 10 minute in-class presentation with slides on a paper related to the material we are discussing. These presentations will be done in teams of two. Each team will be responsible for locating a research paper published in a peer-reviewed journal. The presentation should summarize the substantive and statistical issues addressed in the paper and provide context and a critique.
Students will be evaluate along 5 categories: preparedness, presentation performance, slides, critiques, and timing. Please see the rubric for specifics.
The presentation schedule for the Spring 2021 semester:
| Group | Partner_1 | Partner_2 |
|---|---|---|
| 1 | Ella Zhang | Sahithi Adari |
| 2 | Fangzi Wang | Maryam Khalid Shah |
| 3 | Tianhui Cao | Madeline Kinnaird |
| 4 | Alexander Adams | Harshini Tammareddy |
| 5 | Merykokeb Belay | Lexi Gu |
| 6 | Charlie Zhang | Gloria Li |
| 7 | Mary Kryslette Bunyi | Matthew Ring |
| 8 | Yousuf Abdelfatah | Zixun Hao |
| 9 | Justine Huynh | Vince Egalla |
| 10 | Ruyi Yang | Chau Nguyen |
The following are installation instructions for R and RStudio.
R Software
To install R, download R from CRAN via the following:
To install RStudio, download from the following (scroll to the bottom):