International Labor Economics
主张更多使用非美国的数据和政策评估来理解劳动力市场参数，并预测美国政策变化的影响，通过实证分析展示作者位置、数据集和期刊对研究后续影响的作用。
I argue for increased reliance on nonU.S. data and policy evaluations to understand basic labor market parameters and to predict the effects of changes in U.S. labor market policies. Foreign experiences generate exogenous shocks to labor costs that create unusual opportunities to measure impacts on labor demand. Foreign policies often provide more variation in the underlying parameters in systems that are often structured like their American counterparts. Foreign data sets are often larger and better suited to inferring behavior. An empirical examination shows the effect of author's location, data set, and journal on the research's subsequent impact.