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

Valérie Orozco (), Christophe Bontemps, Elise Maigné, V. Piguet, A. Hofstetter, Anne Lacroix, Fabrice Levert and J.m Rousselle

No 18-933, TSE Working Papers from Toulouse School of Economics (TSE)

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: Reproducibility; workflow; replication; literate programming; software (search for similar items in EconPapers)
Date: 2018-07
New Economics Papers: this item is included in nep-ecm and nep-hpe
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Related works:
Working Paper: How To Make A Pie: Reproducible Research for Empirical Economics & Econometrics (2019)
Working Paper: How to make a pie? Reproducible Research for Empirical Economics & Econometrics (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:tse:wpaper:32757

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