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

Author

Listed:
  • Orozco, Valérie
  • Bontemps, Christophe
  • Maigné, Elise
  • Piguet, V.
  • Hofstetter, A.
  • Lacroix, Anne
  • Levert, F.
  • Rousselle, J.M

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.

Suggested Citation

  • Orozco, Valérie & Bontemps, Christophe & Maigné, Elise & Piguet, V. & Hofstetter, A. & Lacroix, Anne & Levert, F. & Rousselle, J.M, 2018. "How To Make A Pie: Reproducible Research for Empirical Economics & Econometrics," TSE Working Papers 18-933, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:32757
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    Keywords

    Reproducibility; workflow; replication; literate programming; software;
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