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| Field |
Value |
| Title: | Heterogeneity, Price Discovery and Inequality in an Agent-Based Scarf Economy |
| Authors: | 陳樹衡
Chen, Shu-Heng
Venkatachalam, Ragupathy
Chie, Bin-Tzong
Kao, Ying-Fang
Magerl, Wolfgang |
| Contributors: | 經濟系 |
| Keywords: | Non-tâtonnement processes ; Coordination ; Learning ; Agent-based modeling ; Walrasian general equilibrium ; Heterogeneous agents |
| Date: | 2018-11 |
| Issue Date: | 2020-05-25 10:14:07 (UTC+8) |
| Abstract: | 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. |
| Relation: | Complex Systems Modeling and Simulation in Economics and Finance, Springer, pp.113-139 |
| Data Type: | 專書篇章 |
| DCField |
Value |
Language |
| dc.contributor (Contributor) | 經濟系 | |
| dc.creator (Authors) | 陳樹衡 | |
| dc.creator (Authors) | Chen, Shu-Heng | |
| dc.creator (Authors) | Venkatachalam, Ragupathy | |
| dc.creator (Authors) | Chie, Bin-Tzong | |
| dc.creator (Authors) | Kao, Ying-Fang | |
| dc.creator (Authors) | Magerl, Wolfgang | |
| dc.date (Date) | 2018-11 | |
| dc.date.accessioned | 2020-05-25 10:14:07 (UTC+8) | - |
| dc.date.available | 2020-05-25 10:14:07 (UTC+8) | - |
| dc.date.issued (Issue Date) | 2020-05-25 10:14:07 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/129720 | - |
| dc.description.abstract (Abstract) | 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. | |
| dc.format.extent | 1825482 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (Relation) | Complex Systems Modeling and Simulation in Economics and Finance, Springer, pp.113-139 | |
| dc.subject (Keywords) | Non-tâtonnement processes ; Coordination ; Learning ; Agent-based modeling ; Walrasian general equilibrium ; Heterogeneous agents | |
| dc.title (Title) | Heterogeneity, Price Discovery and Inequality in an Agent-Based Scarf Economy | |
| dc.type (Data Type) | 專書篇章 | |
| dc.identifier.doi (DOI) | 10.1007/978-3-319-99624-0_6 | |
| dc.identifier.doi (DOI) | https://doi.org/10.1007/978-3-319-99624-0_6 | |
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