Observing many students using difference-in-differences designs on the same data and hypothesis reveals a universe of uncertainty
The rise of many-analysts studies has highlighted substantial variability in research outcomes when different teams independently analyze the same datasets and hypotheses. This paper makes two key contributions to this emerging field. First, we demonstrate how the many-analysts framework can … Continued