Résumé
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.
Mots-clés
Reproducibility; workflow; replication; literate programming; software;
Remplacé par
Valérie Orozco, Christophe Bontemps, Elise Maigné, V. Piguet, A. Hofstetter, Anne Lacroix, F. Levert et J.M Rousselle, « How to make a pie: reproducible research for empirical economics and econometrics », Journal of Economic Surveys, vol. 34, n° 5, décembre 2020, p. 1134–1169.
Référence
Valérie Orozco, Christophe Bontemps, Elise Maigné, V. Piguet, A. Hofstetter, Anne Lacroix, F. Levert et J.M Rousselle, « How To Make A Pie: Reproducible Research for Empirical Economics & Econometrics », TSE Working Paper, n° 18-933, juillet 2018.
Voir aussi
Publié dans
TSE Working Paper, n° 18-933, juillet 2018