EconPapers    
Economics at your fingertips  
 

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
Additional contact information
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 - ENESAD - Etablissement National d'Enseignement Supérieur Agronomique de Dijon - INRA - Institut National de la Recherche Agronomique
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

Working Papers from HAL

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.archives-ouvertes.fr/hal-02025843
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://hal.archives-ouvertes.fr/hal-02025843/document (application/pdf)

Related works:
Working Paper: How To Make A Pie: Reproducible Research for Empirical Economics & Econometrics (2018) Downloads
Working Paper: How to make a pie? Reproducible Research for Empirical Economics & Econometrics (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-02025843

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2022-09-26
Handle: RePEc:hal:wpaper:hal-02025843