Training on reproducible methods in empirical economics

Originally posted:

Joint with Marie Connolly

Presentation at 58th Annual Meetings of the Canadian Economics Association, Toronto, Canada

Preliminary!

The session still needs to be confirmed. Details to follow.

Abstract

Session 1: “Reproducibility from Day 1”

Journals require that you share your code and data in a replication package upon acceptance. However, efficient reproducibility starts at the beginning of the research project. Following some best practices from day 1 can not only help you prepare a replication package later, but also make you a more productive researcher. In this workshop, we start with an empty folder and finish with a mini-project about public procurement across various European countries, ready for submission to a journal. Together we discuss and document all the choices we make about data collection and analysis, in a way that can help future readers of our research. For advanced topics, see

Session 2: “Advanced methods for self-verification of reproducibility”

In this second session, data editors describe a few possible steps to self-check replication packages before submitting them to a journal. It is not meant to be exhaustive, and it is not meant to be prescriptive. There are many ways to construct a replication package, and many more to check that it works. Questions from the audience are encouraged. Participants are encouraged to also attend.

Marie Connolly is Data Editor for the Canadian Journal of Economics.