NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants

• URL: http://arxiv.org/abs/2503.17457v1
• Date: Fri, 21 Mar 2025 18:09:43 GMT
• Title: NFTs as a Data-Rich Test Bed: Conspicuous Consumption and its Determinants
• Authors: Taylor Lundy, Narun Raman, Scott Duke Kominers, Kevin Leyton-Brown,
• Abstract summary: Conspicuous consumption occurs when a consumer derives value from a good based on its social meaning as a signal of wealth, taste, and/or community affiliation.<n>This paper introduces a model that incorporates two previously identified elements of conspicuous consumption.<n>We show that the bandwagon effect raises an NFT collection's value as more consumers join, while the snob effect drives consumers to seek rarer NFTs within a given collection.
• Score: 9.569937815615072
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Conspicuous consumption occurs when a consumer derives value from a good based on its social meaning as a signal of wealth, taste, and/or community affiliation. Common conspicuous goods include designer footwear, country club memberships, and artwork; conspicuous goods also exist in the digital sphere, with non-fungible tokens (NFTs) as a prominent example. The NFT market merits deeper study for two key reasons: first, it is poorly understood relative to its economic scale; and second, it is unusually amenable to analysis because NFT transactions are publicly available on the blockchain, making them useful as a test bed for conspicuous consumption dynamics. This paper introduces a model that incorporates two previously identified elements of conspicuous consumption: the \emph{bandwagon effect} (goods increase in value as they become more popular) and the \emph{snob effect} (goods increase in value as they become rarer). Our model resolves the apparent tension between these two effects, exhibiting net complementarity between others' and one's own conspicuous consumption. We also introduce a novel dataset combining NFT transactions with embeddings of the corresponding NFT images computed using an off-the-shelf vision transformer architecture. We use our dataset to validate the model, showing that the bandwagon effect raises an NFT collection's value as more consumers join, while the snob effect drives consumers to seek rarer NFTs within a given collection.

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