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Luigi Butera, John A List

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Novel empirical insights by their very nature tend to be unanticipated, and in some cases at odds with the current state of knowledge on the topic. The mechanics of statistical inference suggest that such initial findings, even when robust and statistically significant within the study, should not appreciably move priors about the phenomenon under investigation. Yet, a few well-conceived independent replications dramatically improve the reliability of novel findings. Nevertheless, the incentives to replicate are seldom in place in the sciences, especially within the social sciences. We propose a simple incentive-compatible mechanism to promote replications, and use experimental economics to highlight our approach. We begin by reporting results from an experiment in which we investigate how cooperation in allocation games is affected by the presence of Knightian uncertainty (ambiguity), a pervasive and yet unexplored characteristic of most public goods. Unexpectedly, we find that adding uncertainty enhances cooperation. This surprising result serves as a test case for our mechanism: instead of sending this paper to a peer-reviewed journal, we make it available online as a working paper, but we commit never to submit it to a journal for publication. We instead offered co-authorship for a second, yet to be written, paper to other scholars willing to independently replicate our study. That second paper will reference this working paper, will include all replications, and will be submitted to a peer- reviewed journal for publication. Our mechanism allows mutually-beneficial gains from trade between the original investigators and other scholars, alleviates the publication bias problem that often surrounds novel experimental results, and accelerates the advancement of economic science by leveraging the mechanics of statistical inference.

Luigi Butera, Philip J Grossman, Daniel Houser, John A List, Marie-Claire Villeval

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Creation of empirical knowledge in economics has taken a dramatic turn in the past few decades. One feature of the new research landscape is the nature and extent to which scholars generate data. Today, in nearly every field the experimental approach plays an increasingly crucial role in testing theories and informing organizational decisions. Whereas there is much to appreciate about this revolution, recently a credibility crisis has taken hold across the social sciences, arguing that an important component of Fischer (1935)'s tripod has not been fully embraced: replication. Indeed, while the importance of replications is not debatable scientifically, current incentives are not sufficient to encourage replications from the individual researcher's perspective. We propose a novel mechanism that promotes replications by leveraging mutually beneficial gains between scholars and editors. We develop a model capturing the trade-offs involved in seeking independent replications before submission of a paper to journals. We showcase our method via an investigation of the effects of Knightian uncertainty on cooperation rates in public goods games, a pervasive and yet largely unexplored feature in the literature.