Replication data for: Do Kidney Exchanges Improve Patient Outcomes?
Principal Investigator(s): View help for Principal Investigator(s) Keith F. Teltser
Version: View help for Version V1
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data | 10/27/2021 09:28:AM | ||
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text/plain | 14.6 KB | 12/07/2019 12:59:PM |
Project Citation:
Teltser, Keith F. Replication data for: Do Kidney Exchanges Improve Patient Outcomes? Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116528V1
Project Description
Summary:
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In this paper, I estimate the number of additional transplants generated by kidney exchanges. To do this, I analyze substitution patterns between exchange transplants and other transplant outcomes. Exploiting variation in patients' exposure to exchange activity across time and place, I find that 64 percent of exchange transplants represent new living donor transplants. Using the same approach, I find that an increase in the probability of receiving an exchange transplant reduces the probability of graft failure and reduces time spent waiting for a kidney. Back-of-the-envelope calculations suggest that each exchange transplant increases social welfare by $300,000 to $700,000.
Scope of Project
Subject Terms:
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instrumental variables;
living organ donation;
kidney transplantation;
kidney paired donation;
organ donation;
kidney exchange
JEL Classification:
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D47 Market Design
I11 Analysis of Health Care Markets
I12 Health Behavior
I18 Health: Government Policy; Regulation; Public Health
D47 Market Design
I11 Analysis of Health Care Markets
I12 Health Behavior
I18 Health: Government Policy; Regulation; Public Health
Geographic Coverage:
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United States
Time Period(s):
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1/1/2000 – 7/31/2014
Universe:
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All organ transplant recipients and organ waitlist registrants in the United States
Data Type(s):
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administrative records data;
event/transaction data;
geographic information system (GIS) data;
medical records;
observational data;
program source code;
clinical data
Methodology
Data Source:
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United Network for Organ Sharing (UNOS) and Organ Procurement and Transplantation Network (OPTN)
Unit(s) of Observation:
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zip code,
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