A Foundation for Three Popular Assumptions in Job-Matching Models
从特征匹配角度出发，用简单公理推导出匹配生产率正态性和序列独立性假设，并用工人产出数据检验了正态性假设。
Matching models usually assume an exogenously given distribution of match productivity, and the act of changing jobs then has the worker taking a new, independent sample from this distribution. Using a "characteristics" approach to matching two heterogeneous populations, this article shows that assumptions concerning the normality and serial independence of match productivity (across successive matches) follow from some simple axioms. Moreover, the normality assumption receives support from an empirical test that uses data on the output of a large group of workers.