Week 6: Models for Binary Dependent Variables & Model Fit
Schedule of the Week
Date |
Time |
Item |
Place |
Material |
|---|---|---|---|---|
| Mon, Mar 21 | 16:00–17:30 | Office hours (Oliver) | Zoom | |
| Tue, Mar 22 | 13:30–14:30 | Office hours (Thomas) | Zoom | |
| 15:30–17:00 | Office hours (Viktoriia) | Zoom | ||
| Wed, Mar 23 | 8:30–10:00 | Lecture | A5,6 B244 | |
| Thu, Mar 24 | 10:15–11:45 | Lab (Oliver) | A5,6 B317 | |
| 15:30–17:00 | Lab (Viktoriia) | Zoom |
Study Notes
We will take a closer look at models for dichotomous dependent variables. Please take a close look at Chapter 5.1-5.3 of King (1989) and Chapter 3 in Long (1997). Also skim the Esarey/Pierce (2012) as well as the “separation plot” paper of Greenhill et al. (2011) for new strategies of how you could evaluate your model in terms of model fit. For an applied example of logistic regression models, have a look at the recent paper by Giger et al. (2020). They also present nice quantities of interest which we will cover next week. Finally, former students of our AQM class now contribute to this literature themselves! Take a look at Marcel and Sebastian’s work on cross-validation to assess model fit.