Artikel

How to Avoid Black Markets for Appointments with Online Booking Systems

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.

Language
Englisch

Bibliographic citation
Journal: American Economic Review ; ISSN: 1944-7981 ; Volume: 111 ; Year: 2021 ; Issue: 7 ; Pages: 2127-2151 ; Nashville, Tenn: American Economic Association

Classification
Sozialwissenschaften, Soziologie, Anthropologie
Design of Experiments: Laboratory, Group Behavior
Market Design

Event
Geistige Schöpfung
(who)
Rustamdjan Hakimov
Heller, C.-Philipp
Kübler, Dorothea
Kurino, Morimitsu
Event
Veröffentlichung
(who)
American Economic Association
(where)
Nashville, Tenn
(when)
2021

DOI
doi:10.1257/aer.20191204
Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Rustamdjan Hakimov
  • Heller, C.-Philipp
  • Kübler, Dorothea
  • Kurino, Morimitsu
  • American Economic Association

Time of origin

  • 2021

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