Article metadata

"Queueing to learn"


 
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1. Title Title of document Queueing to learn
 
2. Creator Author's name, affiliation Chiara Margaria; Department of Economics, Boston University
 
 
3. Subject Subject(s) Queues, experimentation, reneging, congestion, mechanism design
 
3. Subject Subject classification C73, D47, D82
 
4. Description Abstract I study the efficient design of a queue to dynamically allocate a scarce resource to long-lived agents. Agents can be served multiple times, and their valuations fluctuate over time with some persistence. Each agent privately learns whether his prevailing valuation is high or low only when served. An agent can decide anytime whether to either join a queue of his choice or renege. I show that it is efficient to elicit agents' private information by offering a simple binary menu (i.e., two customer classes): a first-come, first-served queue, to attract low-value agents, and one in random order, to attract high-value agents. When queueing is costly, offering a single queue may be optimal because of the tradeoff between allocative efficiency and the cost of screening.
 
5. Publisher Organizing agency, location Econometric Society
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2025-05-30
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format pdf
 
10. Identifier Universal Resource Indicator https://econtheory.org/ojs/index.php/te/article/view/20250623
 
11. Source Journal/conference title; vol., no. (year) Theoretical Economics; Volume 20, Number 2 (May 2025)
 
12. Language English=en en
 
15. Rights Copyright and permissions Authors who publish in Theoretical Economics will release their articles under the Creative Commons Attribution-NonCommercial license. This license allows anyone to copy and distribute the article for non-commercial purposes provided that appropriate attribution is given.