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How to make a pie: Reproductible research for empirical economics and econometrics

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  • Valérie Orozco

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Christophe Bontemps

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Élise Maigné

    (US ODR - Observatoire des Programmes Communautaires de Développement Rural - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Virginie Piguet

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Annie Hofstetter

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Anne Lacroix

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Fabrice Levert

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - INSTITUT AGRO Agrocampus Ouest - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Jean‐marc Rousselle

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

Abstract

Empirical economics and econometrics (EEE) research now relies primarily on the application of code to data sets. Handling the workflow that links data sets, programs, results and finally manuscript(s) is essential if one wishes to reproduce results. Herein, we highlight the importance of "reproducible research" in EEE and propose three simple principles to follow: organize your work, code for others and automate as much as you can. The first principle, "organize your work", deals with the overall organization of files and the documentation of a research workflow. "Code for others" emphasizes that we should take care in how we write code that has to be read by others or later by our future self. Finally, "automate as much as you can" is a proposal to avoid any manual treatment and to automate most, if not all, of the steps used in a research process to reduce errors and increase reproducibility. As software is not always the problem and will never be the solution, we illustrate these principles with good habits and tools, with a particular focus on their implementation in most popular software and languages in applied economics.

Suggested Citation

  • Valérie Orozco & Christophe Bontemps & Élise Maigné & Virginie Piguet & Annie Hofstetter & Anne Lacroix & Fabrice Levert & Jean‐marc Rousselle, 2020. "How to make a pie: Reproductible research for empirical economics and econometrics," Post-Print hal-03014999, HAL.
    • Handle: RePEc:hal:journl:hal-03014999
    DOI: 10.1111/joes.12389
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03014999v1
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    Cited by:

    1. Raymond P. Guiteras & Ahnjeong Kim & Brian Quistorff & Clayson Shumway, 2023. "statacons: An SCons-based build tool for Stata," Stata Journal, StataCorp LLC, vol. 23(1), pages 148-196, March.
    2. Enric Cervera & Inmaculada Martínez-Zarzoso, 2024. "The Impact of Environmental Litigations on Emissions," Working Papers 2024.16, International Network for Economic Research - INFER.
    3. Marcus, Jan, 2025. "Replication code as a cornerstone of the credibility revolution 2.0," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 117(C).

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