We analyze the pay of faculty members of economics, mathematics, and marketing departments at large public universities in the United States. Using the Web of Science, we have identified the journal articles published by these scholars and the number of times each of these articles has been cited by other scholars in published work. We find that the frequency of highly-cited papers, as measured by the Hirsch index, is a strong predictor of pay. Furthermore, we show that this impact varies significantly across these disciplines, with pay in economics being much more strongly linked to a professor’s publication success than is the case for the other fields. This pattern holds within departments and across departments.

我们分析了美国大型公立大学经济系、数学系和市场营销系教员的薪酬。使用 Web of Science，我们确定了这些学者发表的期刊文章以及这些文章中的每一篇被其他学者在已发表的著作中引用的次数。我们发现，以赫希指数衡量的高被引论文频率是薪酬的有力预测指标。此外，我们表明这种影响在这些学科中存在显着差异，与其他领域相比，经济学领域的薪酬与教授的出版成功之间的联系更为密切。这种模式适用于部门内部和跨部门。