Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Recent large-scale replications of social science experiments provide important information on the reliability of experimental research. Unfortunately, there exist no mechanisms to ensure replications are done. We propose such a mechanism: journal-based replication, in which the publishing journal insists on a replication attempt between acceptance and publication. We discuss what we learned from a proof-of-concept journal-based replication at the Journal of Public Economics. Our experience indicates that journal-based replication would be relatively straightforward to implement for laboratory experiments.