Heterogeneity, Price Discovery and Inequality in an Agent-Based Scarf Economy

  • Shu-Heng Chen
  • Bin-Tzong Chie
  • Ying-Fang Kao
  • Wolfgang Magerl
  • Ragupathy Venkatachalam
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


In this chapter, we develop an agent-based Scarf economy with heterogeneous agents, who have private prices and adaptively learn from their own experiences and those of others through a meta-learning model. We study the factors affecting the efficacy of price discovery and coordination to the Walrasian Equilibrium. We also find that payoff inequality emerges endogenously over time among the agents and this is traced back to intensity of choice (a behavioural parameter) and the associated strategy choices. Agents with high intensities of choice suffer lower payoffs if they do not explore and learn from other agents.


Non-tâtonnement processes Coordination Learning Agent-based modeling Walrasian general equilibrium Heterogeneous agents 



Shu-Heng Chen and Ragupathy Venkatachalam are grateful for the research support provided in the form of the Ministry of Science and Technology (MOST) grants, MOST 103-2410-H-004-009-MY3 and MOST 104-2811-H-004-003, respectively.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Shu-Heng Chen
    • 1
  • Bin-Tzong Chie
    • 2
  • Ying-Fang Kao
    • 1
  • Wolfgang Magerl
    • 1
    • 3
  • Ragupathy Venkatachalam
    • 4
  1. 1.AI-ECON Research Center, Department of EconomicsNational Chengchi UniversityTaipeiTaiwan
  2. 2.Tamkang UniversityTamsui, TaipeiTaiwan
  3. 3.Vienna University of TechnologyViennaAustria
  4. 4.Institute of Management Studies, GoldsmithsUniversity of LondonLondonUK

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