全球智库信息集成服务系统(G2TT): DP2486 Who Gains when Workers Train? Training and Corporate Productivity in a Panel of British Industries

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP2486
	DP2486 Who Gains when Workers Train? Training and Corporate Productivity in a Panel of British Industries
	John Van Reenen; Lorraine Dearden; Howard Reed
发表日期	2000-06-27
出版年	2000
语种	英语
摘要	This paper develops a theoretical model to analyse how a General Purpose Technology (GPT) shapes within-group wage inequality when workers are ex-ante equal, but their adaptability to new technologies is subject to stochastic factors that are history dependent. It is argued that the diffusion of a GPT leverages the importance of these stochastic factors in three ways. First, a rise in the speed of embodied technological progress raises the market premium to workers adaptable to the leading-edge technology. Second, the generality of the technology raises the ability of adaptable workers to transfer recently acquired knowledge to new machines. Third, the generality of the technology reduces the cost of retooling old machines, which increases the demand for adaptable workers. In the model the rise in within-group inequality is mainly transitory, and is mirrored by a rise in wage instability. The key predictions of the model are shown to be in line with some of the existing empirical evidence.
主题	International Macroeconomics ; Labour Economics
关键词	General purpose technology History-dependence Inequality Skill transferability Technological progress
URL	https://cepr.org/publications/dp2486
来源智库	Centre for Economic Policy Research (United Kingdom)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/531563
推荐引用方式 GB/T 7714	John Van Reenen,Lorraine Dearden,Howard Reed. DP2486 Who Gains when Workers Train? Training and Corporate Productivity in a Panel of British Industries. 2000.