Exploring skill distribution tails through stochastic dominance
复制了关于不同技能工人选址导致大城市技能分布尾部更厚的研究，并提出了随机占优检验作为替代方法，发现下尾更厚但上尾结果不明确。
Summary Location choices of differently skilled workers are analyzed in previous work on labor mobility, which proposes a model that suggests thicker tails in the skill distributions of large cities. This paper replicates the empirical findings of this work by using quantile regression and density plots as employed in the existing study, while also suggesting an alternative testing method for thick tails in the form of an initial stochastic dominance test. The test reveals clear evidence of a thicker lower tail, but the results are less clear for the upper tail, which raises some questions on how to best handle extreme upper tails of skill distributions.