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Python for research and teaching economics

David R. Pugh
School of Economics, University of Edinburgh; Institute for New Economic Thinking at the Oxford Martin School and Oxford Mathematical Institute, University of Oxford

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.

Keywords

python, computational economics, dynamic economic models, numerical methods

DOI

10.25080/Majora-14bd3278-00a

Bibtex entry

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