Datascience and Computational Economics

Last updated on Sep 29, 2020

I have a strong commitment to teaching data-science and computational methods to undergraduate and graduate students. Part of this is through my work with QuantEcon, supporting open-source software projects, and creating open online textbooks.

Notes

UBC Math, Computer Science, and Economics Course Advice

Not every top student should choose to get a PhD in economics or finance. But if you are considering it, then some advanced preparation can make your life easier
Last updated on Mar 2, 2024

Recent Criticisms of Julia

I agree with the general sentiment of much of the criticism, but it doesn’t impact most use-cases of economists
Last updated on May 31, 2022

ECON 408: Computational Methods in Macroeconomics

Computational tools used in macroeconomics and financial economics including applications to unemployment, inequality, asset pricing, and economic growth
Jan 4, 2023

Modeling Shocks in COVID 19

Lecture notes on using ODEs and SDEs for epidemiology in economics
Last updated on Sep 19, 2020

A Grab Bag of Data Sources

Links to publicly available data sources useful for research and datascience projects
Last updated on Sep 29, 2020

Research

Introduction to Economic Modeling and Data Science

This online textbook presents a series of lectures on programming, data science, and economics.
Chase Coleman, Spencer Lyon, Jesse Perla, Other Contributors
Project Website Notebooks Source

Quantitative Economics with Julia

This online textbook presents a set of lectures on quantitative economic modeling. The language instruction is Julia.
Jesse Perla, Thomas J. Sargent, John Stachurski
Project Website Notebooks Source