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 60 minutes each. 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

09:30-10:30 Lecture 1 Spatial Econometrics I (Spatial data)
10:30-11:00, 11:30-12:00 Lecture 2 Spatial Econometrics II (Spatial regressions)
12:00-13:00 Lecture 3 Spatial Econometrics III (Spatial regressions continued)
09:00-10:00 Lecture 4 Discrete Choice I (The random utility framework)
10:30-11:00, 11:30-12:00 Lecture 5 Discrete Choice II (Estimating binary discrete choice models)
12:00-13:00 Lecture 6 Discrete Choice III (Estimating multinomial discrete choice models)
09:00-10:00 Lecture 7 Identification I (Research design)
10:30-11:00, 11:30-12:00 Lecture 8 Identification II (RCTs, OLS, IV)
12:00-13:00 Lecture 9 Identification III (Quasi-experiments, RDD, standard errors)
09:00-10:00 Lecture 10 Hedonic pricing II (Hedonic theory+estimating hedonic price models)
10:30-11:00, 11:30-12:00 Lecture 11 Quantitative spatial models I (Model set-up)
12:00-13:00 Lecture 12 Quantitative spatial models II (Estimation)


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.