Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We propose a framework for evaluating reproducibility and replicability in economics. Reproducibility is defined as testing if the results of an original study can be reproduced using the same data and replicability is defined as testing if the results of an original study hold in new data. We further divide reproducibility and replicability studies into five types: computational reproducibility, recreate reproducibility, robustness reproducibility, direct replicability and conceptual replicability. In addition to this typology we propose indicators to measure the degree of reproducibility and replicability in both individual studies and for a group of studies.