Technology, Labour Characteristics and Wage‐productivity Gaps*
利用工厂层面的雇主-雇员数据，研究工资是否基于生产率，发现年龄相关的工资与生产率差距随年龄增大，教育提高生产率但高学历非技术教育者工资补偿不足，女性结果因方法而异。
Abstract We use plant‐level employer–employee data in production functions and wage equations to examine whether wages are based on productivity. We use a stepwise procedure to find out how the results are influenced by the kind of data that is available. The models include shares of employee groups based on age, level and field of education, and sex. The gap between the age‐related wage and productivity effects increases with age. Education increases productivity, but wage under‐compensates productivity especially for those with the highest level of non‐technical education. For women the results depend greatly on the specification and method used.