Multidimensional Sorting under Random Search
研究了摩擦性劳动力市场中工人与工作具有多维特征时的排序现象，发现排序基于比较优势，工人会进入适合其技能组合的岗位，而非整体技能水平。
We analyze sorting in a frictional labor market when workers and jobs have multidimensional characteristics. We say that matching is positive assortative in dimension (j, k) if workers with higher endowment in skill k are matched to a job distribution with higher values of attribute j in the first-order stochastic dominance sense. Crucial for sorting is a single-crossing property of technology. Sorting is positive between worker-job attributes with strong complementarities but negative in other dimensions. Finally, sorting is based on comparative advantage: workers sort into jobs that suit their skill mix rather than their overall skill level.