The Power of Two in Token Systems

In economies without monetary transfers, token systems serve as an alternative to sustain cooperation and increase efficiency. This paper studies whether a token-based economy can be effective in marketplaces with thin exogenous supply. We consider a marketplace in which at each time period one agent requests a service, one agent provides the service, and one token (artificial currency) is used to pay for service provision. The number of tokens each agent has represents the difference between the amount of service provisions and service requests by the agent. We are interested in the behavior of this economy when very few agents are available to provide the requested service. Because balancing the number of tokens across agents is key to sustain cooperation, the agent with the minimum number of tokens is selected to provide service among the available agents. When exactly one random agent is available to provide service, we show that the token distribution is unstable. However, already when just two random agents are available to provide service, the token distribution is stable, in the sense that agents’ token balance is unlikely to deviate much from their initial endowment, and agents return to their initial endowment in finite expected time. Our results mirror the power-of-two-choices paradigm in load balancing problems. Supported by numerical simulations using kidney exchange data, our findings suggest that token systems may generate efficient outcomes in kidney exchange marketplaces by sustaining cooperation between hospitals. This paper was accepted by Peng Sun, optimization and decision analytics. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2024.06176 .

Authors

Institutions

Publication Details

Journal
Management Science
Published
2026-02-25
DOI
https://doi.org/10.1287/mnsc.2024.06176
Primary Topic
Economic theories and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Power of Two in Token Systems

Omer Tamuz, Geng Zhao, Süleyman Kerimov, Itai Ashlagi
Management Science
Economic theories and models
article

The Power of Two in Token Systems

Omer Tamuz, Geng Zhao, Süleyman Kerimov, Itai Ashlagi
article en

Abstract

In economies without monetary transfers, token systems serve as an alternative to sustain cooperation and increase efficiency. This paper studies whether a token-based economy can be effective in marketplaces with thin exogenous supply. We consider a marketplace in which at each time period one agent requests a service, one agent provides the service, and one token (artificial currency) is used to pay for service provision. The number of tokens each agent has represents the difference between the amount of service provisions and service requests by the agent. We are interested in the behavior of this economy when very few agents are available to provide the requested service. Because balancing the number of tokens across agents is key to sustain cooperation, the agent with the minimum number of tokens is selected to provide service among the available agents. When exactly one random agent is available to provide service, we show that the token distribution is unstable. However, already when just two random agents are available to provide service, the token distribution is stable, in the sense that agents’ token balance is unlikely to deviate much from their initial endowment, and agents return to their initial endowment in finite expected time. Our results mirror the power-of-two-choices paradigm in load balancing problems. Supported by numerical simulations using kidney exchange data, our findings suggest that token systems may generate efficient outcomes in kidney exchange marketplaces by sustaining cooperation between hospitals. This paper was accepted by Peng Sun, optimization and decision analytics. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2024.06176 .

Management Science
California Institute of Technology (US), Rice University (US), University of California, Berkeley (US), Stanford University (US)
Partnerships for the goals
Openalex Percentile: Top 46%
Economic theories and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.