Schedule, syllabus and examination date
Subtitle autumn 2018: "Causal Inference with Spatial Data"
The purpose of this course is two-fold. First, we expose ourselves to various pieces of empirical economics research that use spatial datasets. This will help you come up with original research ideas by taking advantage of spatial datasets. Second, we have hands-on experiences of using ArcGIS 10 and of programing in Python by replicating the spatial datasets for the actual pieces of empirical economics research. This way, we will be able to find out how to process the spatial datasets needed for our own research.
This course is offered to PhD candidates at the Department of Economics. Other candidates admitted to a PhD program may apply.
The course takes place during one intensive week.
Credit for the course requires both active participation in class and a take home exam.
Take home exam
Language of examination
The examination text is given in English, and you submit your response in English.
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.