AEA Data Editor

AEA Data Editor

The AEA Data Editor’s mission is to design and oversee the AEA journals’ strategy for archiving and curating research data and promoting reproducible research.

Training on reproducible methods in empirical economics when data are confidential

Originally posted:

Presentation at University of Utah and Federal Statistical Research Data Centers, Salt Lake City, UT

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: “Creating reproducible packages when data are confidential”

In this second session, I discuss advanced strategies for ensuring reproducibility for yourself and for others, again with special emphasis on work in the FSRDC. Questions from the audience are encouraged.