The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Dynamic Kidney Exchange
Open accessAbstract
We study how barter exchanges should be conducted through a centralized mechanism in a dynamically evolving agent pool with time- and compatibility-based preferences. We derive the dynamically efficient two-way and multi-way exchange mechanisms that maximize total discounted exchange surplus. Recently several live-donor kidney exchange programmes were established to swap incompatible donors of end-stage kidney disease patients. Since kidney exchange can be modelled as a special instance of our more general model, dynamically efficient kidney exchange mechanisms are derived as corollaries. We make policy recommendations using simulations.
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Cites
Markov decision processes: Discrete stochastic dynamic programming
Hazeghi, K., & Puterman, M. L. (1995) · Journal of the American Statistical Association · doi:10.2307/2291177 · Cited by 8,037
Cited by
Clearing algorithms for barter exchange markets: enabling nationwide kidney exchanges
Abraham, D. J., Blum, A., & Sandholm, T. (2007) · Proceedings of the 8th ACM conference on Electronic commerce · doi:10.1145/1250910.1250954 · Cited by 280
Metadata
- Authors
- ÜNVER, M. U.
- Venue
- Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-06-29
- Volume
- 77
- Issue
- 1
- Pages
- 372-414
- ISSN
- 0034-6527 (ISSN-L)
- OpenAlex
- W2117650506
- Cited by
- 213
- References
- 1
- FWCI
- 22.93
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
