Java Agent-based Macroeconomic Laboratory
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Updated
May 8, 2019 - Java
Java Agent-based Macroeconomic Laboratory
A Package providing multiple tools for the statistical analysis and treatment of macroeconomic simulation models, with a particular focus on Agent-based and Stock-Flow Consistent Models
Stock-Flow Consistent Agent-Based Macroeconomic Engine
Models from Monetary Economics by Wynne Godley and Marc Lavoie in Python
cadCAD Design Digital Twin for simulating the Subspace Network economic dynamics.
This React.js app allows the user to choose inputs for a macroeconomic model, and then view an animation showing the results. The app solves the model using the Runge-Kutta method, and describes a disequilibrium framework in which users can understand the long-run dynamics with statistical calculations. It is based on work from an article I publ…
Open, consistency-gated model of AI's distributional impact on the European economy.
Formally verified double-entry flow interpreter for SFC-ABM models. Stainless + Z3.
Data cleaning, structuring and validation of OECD national-accounts data using R and Excel.
Double-Edged Transition: Structuralist Insights on Industry Formation and Divergent Trade Effects in the Global Economy
The Rate Wall: a structural-accounting model of monetary-policy transmission. Measures how much of a rate hike's contractionary force is offset by the interest income it pays out — across public debt, deposits, and money funds — via a stock-flow-consistent monthly claim ledger with scenario and validation machinery.
This full-stack Python/Django application allows users to access a database containing simulations of different models. By clicking on a simulation, the user will be given options to choose parameter values, run the simulation, and then see the results.
Reference implementation of the Dual-Layer Economy (DLE), a stock-flow consistent macroeconomic resilience architecture.
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