This course aims to equip economists with proficiency in the Julia programming language, focusing on its application in economic modeling and analysis. Participants will learn fundamental skills such as basic Julia programming, parallelization techniques, optimization, automatic differentiation, and computational Bayesian statistics. The teaching method involves detailed tutorials that guide learners through each concept with practical examples relevant to economics. The intended audience for this course includes economists, economic researchers, and students interested in applying advanced computational methods to economic data analysis.
Overview
Syllabus
Julia for Economists 2022: Julia Basics
Julia for Economists 2022: Parallelization
Julia for Economists 2022: Optimization and Automatic Differentiation
Julia for Economists 2022: Performance
Julia for Economists 2022: Computational Bayesian Statistics
Taught by
Cameron Pfiffer