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A partial solution for the replication crisis in economics

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  • William M. Briggs

Abstract

Purpose - Important research once thought unassailable has failed to replicate. Not just in economics, but in all science. The problem is therefore not in dispute nor are some of the causes, like low power, selective reporting, the file drawer effect, publicly unavailable data and so forth. Some partially worthy solutions have already been offered, like pre-registering hypotheses and data analysis plans. Design/methodology/approach - This is a review paper on the replication crisis, which is by now very well known. Findings - This study offers another partial solution, which is to remind researchers that correlation does not logically imply causation. The effect of this reminder is to eschew “significance” testing, whether in frequentist or Bayesian form (like Bayes factors) and to report models in predictive form, so that anybody can check the veracity of any model. In effect, all papers could undergo replication testing. Originality/value - The author argues that this, or any solution, will never eliminate all errors.

Suggested Citation

  • William M. Briggs, 2023. "A partial solution for the replication crisis in economics," Asian Journal of Economics and Banking, Emerald Group Publishing Limited, vol. 7(2), pages 180-190, June.
  • Handle: RePEc:eme:ajebpp:ajeb-03-2023-0027
    DOI: 10.1108/AJEB-03-2023-0027
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    Cited by:

    1. Frank Gyimah Sackey & Emmanuel Orkoh & Mohammed Musah, 2024. "Investigating the impact of institutional quality under the petroleum price deregulation policy regime on the economic growth of Ghana," SN Business & Economics, Springer, vol. 4(11), pages 1-21, November.

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