A curated collection of links for economists

A collection of macroeconomic models with heterogenous agents written in python and matlab by me.

Learn to work more efficiently on empirical research projects.

WORK-IN-PROGRESS Solve and estimate heterogenous agent models with sequence-space Jacobians

Computation in Macro - PhD tutorial

Sample code for computing the Aiyagari (1994) model in CUDA (GPU). Hope it is useful for those interested in parallelizing quantitative macroeconomics models.

A hand-curated collection of essential resources, open-source tools, and high-quality datasets for modern economic research and quantitative analysis.

For Growth and Development Class IDEA, PhD UAB

Replication files for Mertens and Nason (QE, 2020)

Introductory lectures in statistics and econometrics

Replication files for "On Households and Unemployment Insurance" by Sekyu Choi and Arnau Valladares-Esteban.

Surat Python Users Group

My exploration of Quantitative Economics using Julia based on tutorials by QuanEcon

Quantitative Economics project analyzing non-income drivers of income inequality in China using ARIMAX and macroeconomic models (urbanization & education) to simulate and evaluate policy impacts.

Code for solving quantitative models in economics

Just tracking my progress in quantecon's python course

A high-fidelity Multi-Agent Reinforcement Learning (MARL) environment for decentralized economic simulation. Built on PettingZoo and Stable-Baselines3, featuring a custom "EconOS" desktop interface for real-time market telemetry, policy intervention, and economic invariant verification.