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 09:30-10:30 Spatial econometrics I: Spatial data, variables and autocorrelation 10/23/23
10:40-11:30 Spatial econometrics II: Spatial regressions 10/23/23
Topic 2 11:40-12:30 Discrete choice I: Random utility framework 10/23/23
13:30-14:20 Discrete choice II: Estimating discrete choice models 10/23/23
Topic 3 14:30-15:20 Identification I: Research designs 10/23/23
15:30-16:20 Identification II: OLS/IV/RDD 10/23/23
Topic 4 09:30-10:20 Hedonic pricing 10/24/23
Topic 5 10:30-11:20 Quantitative spatial economics I: Model set-up 10/24/23
11:30-12:20 Quantitative spatial economics I: Estimation 10/24/23

The accompanying literature and materials are downloadable from the 'materials' pages below.


3) Materials

Topic 1 - Spatial Econometrics
Topic 2 - Discrete Choice
Topic 3 - Identification
Topic 4 - Hedonic pricing
Topic 5 - Quantitative spatial economics


4) Recapitulation materials

To refresh your knowledge of Ordinary Least Squares, Instrumental Variables and panel data (which I assume that you will master), please click here.