Intensive PhD course at Department of Economics, University of Oslo
August 27-31, 2018
Lecturer: Masayuki Kudamatsu(OSIPP at Osaka University)
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 has been taught since 2010, and the lecture slides are available at the lecturer’s website.
Grading Policy
This course welcomes those who just want to audit the course. For obtaining credit, however, you have to submit a research proposal.
Your grade is based on three criteria: Importance, Originality, and Feasibility of your research proposal. I want you to use this opportunity to practice coming up with a good research question.
The submission deadline is 23:59 on 19th December, 2018. Email a PDF copy of your research proposal to the lecturer at m.kudamatsu@gmail.com.
I will return feedback to each student’s proposal by the end of December.
The guideline for writing a research proposal is attached at the end of this syllabus.
Read this article for how satellite image data has recently been used by economists. In the lecture, we will learn the basics of spatial datasets: polygons, raster, map projection, etc.
We will replicate how this paper matches each agricultural plot with its neighboring plots within a radius of 1km, to control for common shocks in the peer effect estimation.
Grading Policy
Course Schedule and Reading List