Working Paper: NBER ID: w11402
Authors: Alvin E. Roth; Tayfun Sönmez; M. Utku Ünver
Abstract: Patients needing kidney transplants may have willing donors who cannot donate to them because of blood or tissue incompatibility. Incompatible patient-donor pairs can exchange donor kidneys with other such pairs. The situation facing such pairs resembles models of the "double coincidence of wants," and relatively few exchanges have been consummated by decentralized means. As the population of available patient-donor pairs grows, the frequency with which exchanges can be arranged will depend in part on how exchanges are organized. We study the potential frequency of exchanges as a function of the number of patient-donor pairs, and the size of the largest feasible exchange. Developing infrastructure to identify and perform 3-way as well as 2-way exchanges will have a substantial effect on the number of transplants, and will help the most vulnerable patients. Larger than 3-way exchanges have much smaller impact. Larger populations of patient-donor pairs increase the percentage of patients of all kinds who can find exchanges.
Keywords: kidney exchange; market design; organ transplantation
JEL Codes: C7; C6
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| Increasing the number of incompatible patient-donor pairs (F35) | Higher frequency of successful exchanges (F31) |
| Infrastructure development (H54) | Increase in the number of transplants (I14) |
| Increasing the population size of incompatible pairs (J11) | Higher percentage of patients finding successful exchanges (I11) |
| Two-way exchanges (D16) | Capture most potential gains (G11) |
| Three-way exchanges (D51) | Maximize efficiency (D61) |