Transparency and Reproducibility in Economics: Context and Lessons learned from 1,000 papers

Originally posted:

Presentation at Japanese Economic Association 2023 Annual Conference at Kansai University Senriyama Campus, Osaka, Japan


The American Economic Association’s Data Editor has reviewed more than 1,800 empirical articles since July 2019, and worked with authors to improve the reproducibility of their research compendia (replication packages). Some lessons emerge from this work. In this presentation, I frame the discussion in the context of the history of transparency and reproducibility in economics, and derive lessons for young scholars (students and young researchers), on possible lessons even for more seasoned researchers. Students and researchers are embedded within institutions, and I will discuss the kind of support that institutions (universities, data providers, compute services) should be providing to students, faculty, and researchers, for a robust, reproducible, and transparent science enterprise.

This particular presentation has been expanded using earlier material.