ECON9104 – Topics in Econometrics

Schedule, syllabus and examination date

Choose semester

Course content

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.

Admission

This course is offered to PhD candidates at the Department of Economics.  Other candidates admitted to a PhD program may apply.

Teaching

The course takes place during one intensive week.

Credit for the course requires both active participation in class and a take home exam.

Examination

Take home exam

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

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.

Facts about this course

Credits

3

Level

PhD

Teaching

Autumn 2018

27 - 31 August 2018

Examination

Autumn 2018

Teaching language

English