The Economics of Computational Reproducibility

Christophe Hurlin, Jean-Edouard Colliard and Christophe Pérignon (perignon@hec.fr)
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Christophe Pérignon: HEC Paris

No 1521, HEC Research Papers Series from HEC Paris

Abstract: We investigate why economics displays a relatively low level of computational reproducibility. We first study the benefits and costs of reproducibility for readers, authors, and academic journals. Second, we show that the equilibrium level of reproducibility may be suboptimally low due to three market failures: a competitive bottleneck effect due to the competition among journals to attract authors, the public good dimension of reproducibility, and the positive externalities of reproducibility outside academia. Third, we discuss different policies to address these market failures and move out of a low reproducibility equilibrium. In particular, we show that coordination among journals could reduce by half the cost of verifying the reproducibility of accepted papers.

Keywords: research reproducibility; trust in science; peer-review process; confidential data (search for similar items in EconPapers)
JEL-codes: C80 (search for similar items in EconPapers)
Pages: 60 pages
Date: 2024-04-24
New Economics Papers: this item is included in nep-hpe and nep-sog
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Related works:
Working Paper: The Economics of Computational Reproducibility (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:ebg:heccah:1521

DOI: 10.2139/ssrn.4811513

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