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Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.1257/aer.20191204

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How to Avoid Black Markets for Appointments with Online Booking Systems

[journal article]

Rustamdjan Hakimov
Heller, C.-Philipp
Kübler, Dorothea
Kurino, Morimitsu

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 ... view more

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.... view less

Classification
Other Fields of Economic Sciences

Document language
English

Publication Year
2021

Page/Pages
p. 2127-2151

Journal
American Economic Review, 111 (2021) 7

ISSN
1944-7981

Status
Published Version; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.