Python for research and teaching economics
David R. Pugh
Abstract
Together with theory and experimentation, computational modeling and simulation has become a “third pillar” of scientific inquiry. I am developing a curriculum for a three part, graduate level course on computational methods designed to increase the exposure of graduate students and researchers in the School of Economics at the University of Edinburgh to basic techniques used in computational modeling and simulation using the Python programming language. My course requires no prior knowledge or experience with computer programming or software development and all current and future course materials will be made freely available on-line via GitHub.
python, computational economics, dynamic economic models, numerical methods
DOI10.25080/Majora-14bd3278-00a