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Efficient empiricism: Streamlining teaching, research, and learning in empirical courses

Author

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  • Tomas Dvorak
  • Simon D. Halliday
  • Michael O’Hara
  • Aaron Swoboda

Abstract

The increasing importance of empirical analysis in economics highlights the need for efficient ways to bring these skills to the classroom. R Markdown is a new technology that provides a solution by integrating writing, statistical work and computation into a single document. R Markdown benefits students and instructors by streamlining teaching, research, and collaboration. The authors report on their use of R Markdown in undergraduate teaching, including core courses, electives, and senior theses. They discuss the costs and benefits of adoption, and explain the advantages of R Markdown in teaching reproducibility of empirical work, avoiding time-consuming and error-prone “cut and paste,” and facilitating a one-stop solution for importing, cleaning, manipulating, visualizing, and communicating with data.

Suggested Citation

  • Tomas Dvorak & Simon D. Halliday & Michael O’Hara & Aaron Swoboda, 2019. "Efficient empiricism: Streamlining teaching, research, and learning in empirical courses," The Journal of Economic Education, Taylor & Francis Journals, vol. 50(3), pages 242-257, July.
    • Handle: RePEc:taf:jeduce:v:50:y:2019:i:3:p:242-257
    DOI: 10.1080/00220485.2019.1618765
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    Cited by:

    1. Kuroki, Masanori, 2021. "Using Python and Google Colab to teach undergraduate microeconomic theory," International Review of Economics Education, Elsevier, vol. 38(C).

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