Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/235248
Authors: 
Rustamdjan Hakimov
Heller, C.-Philipp
Kübler, Dorothea
Kurino, Morimitsu
Year of Publication: 
2021
Citation: 
[Journal:] American Economic Review [ISSN:] 1944-7981 [Publisher:] American Economic Association [Place:] Nashville, Tenn [Volume:] 111 [Year:] 2021 [Issue:] 7 [Pages:] 2127-2151
Abstract: 
Allocating appointment slots is presented as a new application for market design. Online booking systems are commonly used by public authorities to allocate appointments for visa interviews, driver's licenses, passport renewals, etc. We document that black markets for appointments have developed in many parts of the world. Scalpers book the appointments that are offered for free and sell the slots to appointment seekers. We model the existing first-come-first-served booking system and propose an alternative batch system. The batch system collects applications for slots over a certain time period and then randomly allocates slots to applicants. The theory predicts and lab experiments confirm that scalpers profitably book and sell slots under the current system with sufficiently high demand, but that they are not active in the proposed batch system. We discuss practical issues for the implementation of the batch system and its applicability to other markets with scalping.
JEL: 
C92
D47
Persistent Identifier of the first edition: 
Document Type: 
Article
Document Version: 
Published Version

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