Arbeitspapier

How to avoid black markets for appointments with online booking systems

Allocating appointment slots is presented as a new application for market design. We consider online booking systems that are commonly used by public authorities to allocate appointments for driver's licenses, visa interviews, 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 system. The alternative system collects applications for slots for a certain time period and then randomly allocates slots to applicants. We investigate the two systems under conditions of low and high demand for slots. The theory predicts and lab experiments confirm that scalpers profitably book and sell slots under the current system with high demand, but that they are not active in the proposed new system under both demand conditions.

Language
Englisch

Bibliographic citation
Series: Discussion Paper ; No. 179

Classification
Wirtschaft
Design of Experiments: Laboratory, Group Behavior
Market Design
Subject
market design
online booking system
first come first served
scalping

Event
Geistige Schöpfung
(who)
Hakimov, Rustamdjan
Heller, Christian-Philipp
Kübler, Dorothea
Kurino, Morimitsu
Event
Veröffentlichung
(who)
Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
(where)
München und Berlin
(when)
2019

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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

Object type

  • Arbeitspapier

Associated

  • Hakimov, Rustamdjan
  • Heller, Christian-Philipp
  • Kübler, Dorothea
  • Kurino, Morimitsu
  • Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition

Time of origin

  • 2019

Other Objects (12)