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Assessing Reproducibility in Economics Using Standardized Crowd-sourced Analysis

Abel Brodeur, Seung Yong Sung, Edward Miguel, Lars Vilhuber and Fernando Hoces de la Guardia

No 33753, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper presents a framework to standardize crowd-sourced computational reproductions in economics through the Social Science Reproduction Platform (SSRP). The approach address four main challenges for computational reproductions: a lack of standardization, aggregation issues, existing incentives for “adversarial” interactions, and the loss of knowledge from analyses that are never published. We then summarize the first 487 reproductions uploaded on the SSRP. The results show substantial heterogeneity in the ability to successfully reproduce empirical results in economics research, with approximately 30% of recent studies meeting at least a basic definition of being computationally reproducible.

JEL-codes: A14 C10 C81 (search for similar items in EconPapers)
Date: 2025-05
New Economics Papers: this item is included in nep-hpe and nep-sog
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