Sponsors
Lectures
QuantEcon hosts lecture series on economics, finance, econometrics and data science. All lecture series are based on open source languages and open computing environments.
Code Libraries
QuantEcon has developed and maintains high-performance, open source, code libraries in Python and Julia.
Dynamic Programming
This book is about dynamic programming and its applications in economics, finance, and adjacent fields like operations research. It brings together recent innovations in the theory of dynamic programming.
Economic Networks
This book is an introduction to economic networks and it emphasizes quantitative modeling, with the main underlying tools being graph theory, linear algebra, fixed point theory and programming.
Workshops
QuantEcon runs remote and in-person workshops and short courses on quantitative economics and high-performance computing using Python and Julia.
Past locations include the Econometric Society meetings, Columbia University, Copenhagen, the Reserve Bank of Australia, Stanford, Princeton, Harvard, MIT, Berkeley, UCLA, Paris and the Central Bank of Chile.
Past Sponsors
