Open source code for economic modeling


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.

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Working for QuantEcon

Natasha Watkins

Research Assistant

Natasha is a PhD candidate in Economics at the University of California. During her pre-doctoral fellowship at QuantEcon, Natasha assisted in running workshops on data analysis and econometrics in Python. She has contributed material to QuantEcon lectures, covering the Pandas and Statsmodels libraries, and maintains QuantEcon news and social media.

FlintĀ O'Neil

Lead Developer

Flint is a QuantEcon research assistant and student in Economics at Stanford University. His primary interest is in macro-finance and mathematical economics. Flint is working to understand theĀ nature of default and debt as amplification mechanisms in the macroeconomy. He is also a research assistant for QuantEcon and was Professor Stachurski's Honours student at the ANU.

Zejin Shi

Research Assistant

Zejin is a PhD student at the University of Arizona, working on Macro labor economics, understanding people's marital and labor supply decisions. He is a research assistant at QuantEcon and has helped construct lecture notebooks and Python modules.

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