economic-modeling

A deep research study introducing the concept of Economic DNA Repair for smart contracts, designing self-correcting tokenomics that detect anomalies, repair unstable parameters, rebalance incentives, and restore economic equilibrium. Explores adaptive rewards, automated governance, liquidity healing, and resilience in decentralized systems.

This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.

This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.

An interpretable system that models the future of work as an equilibrium under AI-driven forces. Instead of predicting job loss, it decomposes workforce disruption into automation pressure, adaptability, skill transferability, demand, and AI augmentation to explain stability, tension, and transition paths by 2030.

A scientific exploration of Metabolic Tokenomics, the framework that models token economies as living metabolic systems. Examines how tokens burn, store, and circulate energy like biological cells, mapping catabolism, anabolism, liquidity flow, yield dynamics, and system health to design resilient, adaptive on-chain ecosystems.

A deep exploration of the economic physics governing DeFi crashes, AMM decay, liquidity spirals, and liquidation cascades. This article models decentralized finance as a nonlinear system driven by invariants, thresholds, and feedback loops, revealing why crashes follow predictable laws of motion.

An experimental ERC20 token implementing adaptive tokenomics through an auto-adjusting transfer tax. The contract monitors recent transfer volume in a configurable time window and dynamically increases or decreases fees based on market activity. A clean, dependency-free demonstration of self-regulating, volume-responsive economic design.

MANAGE-WB is a recursive dynamic Computable General Equilibrium (CGE) model implemented in GAMS, developed by the World Bank for economy-wide policy analysis across a wide range of country contexts.

A model which simulates coastal flooding, and evaluated the economic benefits of climate adaptation strategies.

A Python workflow implementing the classical IS–LM framework, allowing you to compute equilibrium output and interest rates, simulate fiscal (G) and monetary (M) shocks, and visualize results across the goods, money, and aggregate demand–supply markets.

Interactive PyQt6 application for visualizing open economy macroeconomic models with real-time parameter control

Nowcasting UK GDP before its official release using monthly indicators (Index of Services, Index of Production) via bridge equation and dynamic factor model

🇺🇸 Production Leontief Input-Output model forecasting Trump 2025 tariff impacts using 100% PUBLIC BEA/BLS data

Open repository for collaborative research on economic models, integrating theory, simulations, and data. Contribute papers, code, and datasets to advance understanding of economic modeling and policy analysis.

Detect U.S. housing market bubbles using macroeconomic signals. Forecast HPI, score speculative risk, and visualize insights using a fully modular, cloud-native GCP pipeline.

EconomyOS is an open-source economic intelligence and research platform for point-in-time economic data, causal inference, forecasting, scenario analysis, systemic risk, and economic modeling. Built with TypeScript, Next.js, NestJS, PostgreSQL/TimescaleDB, and Temporal, with provenance, governance, and reproducible research.

A novel economic framework modeling wealth inequality and the "K-shaped" divergence. Proposes a Bitcoin-standard realignment to halt monetary debasement and restore surplus value for wage-earners.

Open-source Python framework for CGE modelling, extending PyCGE by Fung & Burtwistle and the Hosoe–Gasawa–Hashimoto textbook models, with CAMCGE and IFPRI implementations. Built for policy simulation, teaching, replication and reproducible research; “-Core” follows the convention exemplified by OG-Core.

Open-source decentralized economic framework for transparent, programmable and resilient systems — with Scratch & Win as its first Cardano implementation.

End-to-End quantitative (Python) decision support system for optimizing economic resilience against disasters. Implements updated MRIA model using multi-regional supply-use tables, three-step optimization algorithm, and comprehensive impact assessment to identify vulnerabilities from production concentration and logistical constraints.