Visualizing the Invisible Hand of Markets: Simulating complex dynamic economic interactions
Klaus Jaffe

TL;DR
This paper introduces a simulation tool to visualize and analyze complex economic interactions, revealing non-linear dynamics, the impact of pricing strategies, and the benefits of division of labor in markets.
Contribution
It presents a novel simulator that models diverse economic systems to visualize complex interactions and dynamics, aiding understanding of emergent phenomena in economics.
Findings
Simple economic settings can produce complex non-linear dynamics.
Flexible pricing improves societal wealth but can cause inflation.
Division of labor significantly enhances economic efficiency.
Abstract
In complex systems, many different parts interact in non-obvious ways. Traditional research focuses on a few or a single aspect of the problem so as to analyze it with the tools available. To get a better insight of phenomena that emerge from complex interactions, we need instruments that can analyze simultaneously complex interactions between many parts. Here, a simulator modeling different types of economies, is used to visualize complex quantitative aspects that affect economic dynamics. The main conclusions are: 1- Relatively simple economic settings produce complex non-linear dynamics and therefore linear regressions are often unsuitable to capture complex economic dynamics; 2- Flexible pricing of goods by individual agents according to their micro-environment increases the health and wealth of the society, but asymmetries in price sensitivity between buyers and sellers increase…
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Taxonomy
TopicsComplex Systems and Time Series Analysis
