G2TT
来源类型Discussion paper
规范类型论文
来源IDDP2065
DP2065 Time-series and Cross-section Information in Affine Term Structure Models
Frank de Jong
发表日期1999-02-28
出版年1999
语种英语
摘要This paper develops and estimates a human capital model of wage growth based on learning by doing. Learning by doing rates are assumed to be heterogeneous and firms offer different career structures in terms of the rate of acquisition of firm specific human capital. The model is estimated using a unique data set drawn from German administrative records and including a complete employment and earnings history for each worker in our sample. We find evidence of increased labour market attachments for individuals with higher returns to experience. This has important implications for the estimates. The estimated returns to experience are 2.7% a year. The returns to tenure are close to zero. Crucial identifying information is provided by plant closures.
主题Labour Economics
关键词Human capital Job mobility Matching Wage growth
URLhttps://cepr.org/publications/dp2065
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/531185
推荐引用方式
GB/T 7714
Frank de Jong. DP2065 Time-series and Cross-section Information in Affine Term Structure Models. 1999.
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