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Pre-registration in economics: exhaustive templates for primary and secondary data

Thibaut Arpinon ()
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Thibaut Arpinon: IREGE - Institut de Recherche en Gestion et en Economie - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc

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Abstract: Pre-registration is gaining prominence in the quest for more credible research in economics. Perceived as an important tool and quality signal by many, I argue that poorly executed pre-registration can lead to asymmetrical information and adverse effects. Current inconsistent standards increase researchers' degree of freedom and pose challenges for reviewers and editors in evaluating the quality of pre-registration. In this paper, I introduce two comprehensive pre-registration templates tailored for economic studies using primary or secondary data. The templates compile the latest open science practices with references and can be used by researchers when pre-registering a study and by reviewers and editors during the peer-review process. The templates surpass existing alternatives available on online platforms, allow ex- post deviations to be reported, and aim to standardize practices in economics. To support implementation, I present a web-based app to fill the templates, generate PDF documents, and store time-stamped pre-registrations and deviations. Last, I identify research scenarios where pre-registration is most appropriate and discuss limitations.

Keywords: Pre-registration; Template; Primary data; Secondary data; Deviations; Open science (search for similar items in EconPapers)
Date: 2025-02-12
Note: View the original document on HAL open archive server: https://hal.science/hal-04943071v1
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