
Alan Lujan
Assistant Program Director, Applied Economics, Johns Hopkins University
I develop methods for sequential decision making (dynamic programming, reinforcement learning and deep learning) and test them on the hardest instances I know: heterogeneous-agent economies in macroeconomics. I use these models to study the distribution of wealth and inequality, including how AI growth may impact households across the distribution. I am a core developer of Econ-ARK, the open-source toolkit for heterogeneous-agent models.
Selected papers
- 2026
- 2026The Sequential Endogenous Grid Method Forthcoming, Journal of Economic Dynamics and Control
- 2026
- 2026Life-Cycle Modeling Is Ready for Prime Time The Journal of Retirement 14(1), 58-85
- 2026Reproducing “Economic Scenarios for Transformative AI” Econ-ARK REMARK
- 2026The Endogenous Grid Method for Epstein-Zin Preferences Submitted, Computational Economics