Data Science in International Economics Research

DSIER [/dɪˈzaɪər/]

Julian Hinz https://julianhinz.com , Irene Iodice https://ioire.github.io , Carsten Philipp Brockhaus
Fields in Kazakhstan.

Summary

This course provides a snapshot of state-of-the-art research in the field of international economics that makes use of big, often unconventional datasets, and novel methods.

Topics include issues in development studies (e.g. using satellite imagery), international trade and migration (large semi-structured administrative data and cellphone trace data) and international finance (data from social networks).

The course combines a weekly lecture that introduces a research project, its data and methods, as well as an application session in which students are tasked with handling similar datasets and methods.

Coursework includes short assignments along the semester, as well as a final project.

Topics

  1. Getting started: Course outlook and good research practice

  2. The toolkit: R and the shell

  3. Conventional large data

  4. New sources of economic data: Web scraping and APIs

  5. Networks

  6. Satellite imagery

  7. Spatial data

  8. Text as data

  9. Event and sensor data

  10. Social media data

Preliminary schedule

The course takes place on Wednesdays from 10 – 12h and 16 – 18h, sometimes in person, sometimes online.

Date Time Topic Teacher Location
April 20 10 – 12 Course outlook Irene & Julian U2-228
16 – 18 Good research practice Julian U5-133
April 27 10 – 12 The shell Julian U2-228
16 – 18 R Julian U5-133
May 4 10 – 12 Conventional large data Irene U2-228
16 – 18 Julian jhi.nz/dsier
May 11 10 – 12 Web scraping and APIs Irene U2-228
16 – 18 Julian jhi.nz/dsier
May 18 10 – 12 Networks Irene jhi.nz/dsier
16 – 18 Julian jhi.nz/dsier
May 25 10 – 12 Satellite imagery Irene U2-228
16 – 18 Julian jhi.nz/dsier
June 1 10 – 12 Spatial data Irene jhi.nz/dsier
16 – 18 Julian jhi.nz/dsier
June 8 10 – 12 Text as data Irene U2-228
16 – 18 Julian jhi.nz/dsier
June 15 10 – 12 Event and sensor data Irene jhi.nz/dsier
16 – 18 Julian jhi.nz/dsier
June 22 10 – 12 Social media data Irene U2-228
16 – 18 Julian jhi.nz/dsier
June 29 10 – 12 to be determined Irene jhi.nz/dsier
16 – 18 Julian jhi.nz/dsier
July 6 10 – 12
16 – 18 Presentation of projects Irene & Julian U5-133
July 13 10 – 12
16 – 18 Presentation of projects Irene & Julian U5-133

References and additional resources

The course material, both for the lectures and coding examples, is often inspired by fantastic work from other educators and researchers. Here are some references that sometimes go beyond what we do in class:

Questions?

Any general questions? Post them in the dedicated #general Slack Channel in case you think this is a question of general interest. Of course, you can also contact us privately

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.