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Assessing Reproducibility in Economics Using Standardized Crowd-sourced Analysis

Author

Listed:
  • Abel Brodeur
  • Seung Yong Sung
  • Edward Miguel
  • Lars Vilhuber
  • Fernando Hoces de la Guardia

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.

Suggested Citation

  • Abel Brodeur & Seung Yong Sung & Edward Miguel & Lars Vilhuber & Fernando Hoces de la Guardia, 2025. "Assessing Reproducibility in Economics Using Standardized Crowd-sourced Analysis," NBER Working Papers 33753, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:33753
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    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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