paper-with-me

Papers

A Dynamic Agent Based Model of the Real Economy with Monopolistic Competition, Perfect Product Differentiation, Heterogeneous Agents, Increasing Returns to Scale and Trade in Disequilibrium

2024-01-13 · Subhamon Supantha, Naresh Kumar Sharma

We have used agent-based modeling as our numerical method to artificially simulate a dynamic real economy where agents are rational maximizers of an objective function of Cobb-Douglas type. The economy is characterised by heterogeneous agents, acting out of local or imperfect information, monopolistic competition, perfect product differentiation, allowance for increasing returns to scale technology and trade in disequilibrium. An algorithm for economic activity in each period is devised and a general purpose open source agent-based model is developed which allows for counterfactual inquiries, testing out treatments, analysing causality of various economic processes, outcomes and studying emergent properties. 10,000 simulations, with 10 firms and 80 consumers are run with varying parameters and the results show that from only a few initial conditions the economy reaches equilibrium while in most of the other cases it remains in perpetual disequilibrium. It also shows that from a few initial conditions the economy reaches a disaster where all the consumer wealth falls to zero or only a single producer remains. Furthermore, from some initial conditions, an ideal economy with high wage rate, high consumer utility and no unemployment is also reached. It was also observed that starting from an equal endowment of wealth in consumers and in producers, inequality emerged in the economy. In majority of the cases most of the firms(6-7) shut down because they were not profitable enough and only a few firms remained. Our results highlight that all these varying outcomes are possible for a decentralized market economy with rational optimizing agents.

📄 PDF Abstract BibTeX arXiv:2401.07070

Code (0)

등록된 구현이 없습니다.

Tasks

counterfactual

Similar Papers 제목 키워드 기반

Frictions and Welfare in Monopolistic Competition

2025-05-30 · Francesco Del Prato, Paolo Zacchia

In a heterogeneous firm economy with monopolistic competition, could informational asymmetries between entrepreneurs and financial intermediaries sometimes improve welfare? We study this question by developing a model wh…

Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems

2026-03-05 · Emil Kragh Toft, Carolin Schmidt, Daniele Gammelli, Filipe Rodrigues arxiv

Autonomous Mobility-on-Demand (AMoD) systems promise to revolutionize urban transportation by providing affordable on-demand services to meet growing travel demand. However, realistic AMoD markets will be competitive, wi…

Reinforcement Learning

An AI Capability Threshold for Rent-Funded Universal Basic Income in an AI-Automated Economy

2025-05-24 · Aran Nayebi

We derive the first closed-form condition under which artificial intelligence (AI) capital profits could sustainably finance a universal basic income (UBI) without additional taxes or new job creation. In a Solow-Zeira e…

CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents

2023-10-26 · Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin 외

Large language models (LLMs) have been widely used as agents to complete different tasks, such as personal assistance or event planning. While most of the work has focused on cooperation and collaboration between agents,…

Language ModelingLanguage ModellingLarge Language Model

On the emergence of scale-free production networks

2016-09-19

We propose a simple dynamical model of the formation of production networks among monopolistically competitive firms. The model subsumes the standard general equilibrium approach \`a la Arrow-Debreu but displays a wide s…