How To Make A Pie: Reproducible Research for Empirical Economics & Econometrics

Valérie Orozco (), Christophe Bontemps, Élise Maigné (), Virginie Piguet (), Annie Hofstetter (), Anne Lacroix, Fabrice Levert and Jean-Marc Rousselle ()
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Élise Maigné: US ODR - Observatoire des Programmes Communautaires de Développement Rural - INRA - Institut National de la Recherche Agronomique
Virginie Piguet: CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - INRA - Institut National de la Recherche Agronomique - AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Annie Hofstetter: LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier
Jean-Marc Rousselle: LAMETA - Laboratoire Montpelliérain d'Économie Théorique et Appliquée - UM1 - Université Montpellier 1 - UPVM - Université Paul-Valéry - Montpellier 3 - INRA - Institut National de la Recherche Agronomique - Montpellier SupAgro - Centre international d'études supérieures en sciences agronomiques - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - Montpellier SupAgro - Institut national d’études supérieures agronomiques de Montpellier

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Abstract: Empirical economics and econometrics (EEE) research now relies primarily on the application of code to datasets. Handling the workflow linking datasets, programs, results and finally manuscript(s) is essential if one wish to reproduce results, which is now increasingly required by journals and institutions. We underline here the importance of "reproducible research" in EEE and suggest three simple principles to follow. We illustrate these principles with good habits and tools, with particular focus on their implementation in most popular software and languages in applied economics.

Keywords: workflow; replication; literate programming; software; reproducibility (search for similar items in EconPapers)
Date: 2019-02-19
New Economics Papers: this item is included in nep-dem and nep-hpe
Note: View the original document on HAL open archive server: https://hal.science/hal-02025843v1
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Working Paper: How to make a pie? Reproducible Research for Empirical Economics & Econometrics (2017)
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