This simulation models the interactions between buyers and sellers in a market using a discrete Markov chain. The market consists of regular sellers and a fraction of opportunistic sellers who may deceive the buyers. The simulation tracks the evolution of buyer perception over time, influenced by encounters with these opportunistic sellers.
Repository from Github https://github.comAineiasGV/Akerlof-Markov-Ergodicity-in-Wolfram-Mathematica
The current code in Wolfram Mathemtica is a simple simulation in order to show the process of a Markovian perspective in Akerlof's model of information asymmetry, which leads to a market collapse and a erdodicity breaking.
For any comment: aineiasva@gmail.com
This simulation models the interactions between buyers and sellers in a market using a discrete Markov chain. The market consists of regular sellers and a fraction of opportunistic sellers who may deceive the buyers. The simulation tracks the evolution of buyer perception over time, influenced by encounters with these opportunistic sellers.
MIT License