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A notion of prominence for games with natural-language labels

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Veröffentlicht in: Quantitative economics 12(2021), 1 vom: Jan., Seite 283-312
Personen und Körperschaften: Sontuoso, Alessandro (VerfasserIn), Bhatia, Sudeep (VerfasserIn)
Titel: A notion of prominence for games with natural-language labels/ Alessandro Sontuoso, Sudeep Bhatia
Format: E-Book-Kapitel
Sprache: Englisch
veröffentlicht:
2021
Gesamtaufnahme: : Quantitative economics, 12(2021), 1 vom: Jan., Seite 283-312
, volume:12
Schlagwörter:
Quelle: Verbunddaten SWB
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Zusammenfassung: We study games with natural-language labels (i.e., strategic problems where options are denoted by words), for which we propose and test a measurable characterization of prominence. We assume that-ceteris paribus-players find particularly prominent those strategies that are denoted by words more frequently used in their everyday language. To operationalize this assumption, we suggest that the prominence of a strategy-label is correlated with its frequency of occurrence in large text corpora, such as the Google Books corpus ("n-gram" frequency). In testing for the strategic use of word frequency, we consider experimental games with different incentive structures (such as incentives to and not to coordinate), as well as subjects from different cultural/linguistic backgrounds. Our data show that frequently-mentioned labels are more (less) likely to be selected when there are incentives to match (mismatch) others. Furthermore, varying one's knowledge of the others' country of residence significantly affects one's reliance on word frequency. Overall, the data show that individuals play strategies that fulfill our characterization of prominence in a (boundedly) rational manner.
ISSN: 1759-7331
DOI: 10.3982/QE1212
Zugang: Open Access