Replication code as a cornerstone of the credibility revolution 2.0

B-Tier
Journal: Journal of Behavioral and Experimental Economics
Year: 2025
Volume: 117
Issue: C

Score contribution per author:

2.011 = (α=2.01 / 1 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This opinion piece argues that code sharing is a key yet underutilized component of research transparency and the ongoing “Credibility Revolution 2.0.” It outlines the benefits of providing replication code for both individual researchers and the broader scientific community, and explains why alternative methods of documenting the details of the research process fall short. The opinion piece concludes with concrete recommendations for how different groups in the scientific community can help make code sharing the norm in empirical research.

Technical Details

RePEc Handle
repec:eee:soceco:v:117:y:2025:i:c:s2214804325000746
Journal Field
Experimental
Author Count
1
Added to Database
2026-01-25