Dear participants
Welcome to the mini-course Applied Econometrics for Spatial Economics. I hope you will enjoy the course. Please read this course manual very carefully.
I hope to see you all in class,
Hans Koster
1) Course structure and online teaching
This course will be taught entirely offline. We will have sessions of 45-60 minutes on Monday, October 23, and Tuesday, October 24.
During each session there is room to ask questions. Furthermore, we will discuss applications and undertake exercises using Mentimeter in order for you to better understand the materials.
2) Course schedule
| Topic 1 | Session 1 | Spatial econometrics I: Spatial data and variables | 10/23/23 |
| Session 2 | Spatial econometrics II: Spatial autocorrelation | 10/23/23 | |
| Session 3 | Spatial econometrics III: Spatial regressions | 10/23/23 | |
| Topic 2 | Session 4 | Discrete choice I: Random utility framework | 10/23/23 |
| Session 5 | Discrete choice II: Binary choice models | 10/23/23 | |
| Session 6 | Discrete choice III: Multinomial choice models | 10/23/23 | |
| Topic 3 | Session 7 | Identification I: Research designs | 10/24/23 |
| Session 8 | Identification II: RCTs / OLS/ IV | 10/24/23 | |
| Session 9 | Identification III: RDDs / Standard errors | 10/24/23 |
The accompanying literature and materials are downloadable from the 'modules' page.
3) Materials
Topic 1 - Spatial Econometrics
Topic 2 - Discrete Choice
Topic 3 - Identification
4) Recapitulation materials
To refresh your knowledge on Ordinary Least Squares, Instrumental Variables and panel data (which I assume that you will master), please click here.