Journal article · 2024
Microfounded Tax Revenue Forecast Model with Heterogeneous Population and Genetic Algorithm Approach
Computational Economics 63(5), 1705–1734
Summary
An agent-based model of consumers and businesses with heterogeneous attributes, whose decisions evolve through a genetic algorithm, used to forecast local tax revenues and evaluate taxation policies. It is tested against a small village's recorded tax data.
This summary was written for this website from the published abstract. The publisher’s abstract and full text are the authoritative versions. No full text is reproduced here.
Research theme
Related publications
- Tell Me Who Your Neighbors Are and I Will Tell You Your Informal Economy Size: The Case of Sweden · Computational Economics, 2026
- Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation · arXiv, 2025
- Informal self-employment within the non-observed economy of Israel · International Journal of Entrepreneurship and Small Business, 2024
- Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy · Computational Economics, 2024
Related policy analysis
- The Non-Observed Economy in Israel · Taub Center, 2020