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A framework for evaluating reproducibility and replicability in economics

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  • Dreber, Anna
  • Johannesson, Magnus

Abstract

A fundamental question to the scientific enterprise is to what extent published scientific findings are credible. This question is related to the reproducibility and replicability of scientific findings where reproducibility is defined as testing if the results of an original study can be reproduced using the same data and replicability is defined as testing if the results of an original study hold in new data. We provide a framework for evaluating reproducibility and replicability in economics and divide reproducibility and replicability studies into five types: computational reproducibility, recreate reproducibility, robustness reproducibility, direct replicability and conceptual replicability, and we propose indicators to be reported for each type.

Suggested Citation

  • Dreber, Anna & Johannesson, Magnus, 2023. "A framework for evaluating reproducibility and replicability in economics," I4R Discussion Paper Series 38, The Institute for Replication (I4R).
  • Handle: RePEc:zbw:i4rdps:38
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    1. Fišar, Miloš & Greiner, Ben & Huber, Christoph & Katok, Elena & Ozkes, Ali & Management Science Reproducibility Collaboration, 2023. "Reproducibility in Management Science," Department for Strategy and Innovation Working Paper Series 03/2023, WU Vienna University of Economics and Business.

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    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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