Nber Working Paper Series an Economic Approach to Alleviate the Crises of Confidence in Science: with an Application to the Public Goods Game

National Bureau of Economic Research(2017)

引用 24|浏览0
暂无评分
摘要
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 wellconceived 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, 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 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 Department of Economics The University of Chicago 1126 East 59th Chicago, IL 60637 lbutera@uchicago.edu John A. List Department of Economics University of Chicago 1126 East 59th Chicago, IL 60637 and NBER jlist@uchicago.edu
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要