Assessing education’s contribution to productivity using firm-level evidence

生产力 经济 劳动经济学 业务 人口经济学 人力资本 全要素生产率 样品(材料) 面板数据
作者
Lara Lebedinski,Vincent Vandenberghe
出处
期刊:International Journal of Manpower [Emerald (MCB UP)]
卷期号:35 (8): 1116-1139 被引量:22
标识
DOI:10.1108/ijm-06-2012-0090
摘要

There is plenty of individual-level evidence, based on the estimation of Mincerian equations, showing that better-educated individuals earn more. This is usually interpreted as a proof that education raises labour productivity. Some macroeconomists, analysing cross-country time series, also support the idea that the continuous expansion of education has contributed positively to growth. Surprisingly, most economists with an interest in human capital have neglected the level of the firm to study the education-productivity-wage nexus. And the few published works considering firm-level evidence are lacking a proper strategy to cope with the endogeneity problem inherent to the estimation of production and wage functions. This paper taps into a rich, firm-level, Belgian panel database that contains information on productivity, labour cost and the workforce’s educational attainment. It aims at providing estimates of the causal effect of education on productivity and wage/labour costs. Therefore, it exclusively resorts to within firm changes to deal with time-invariant heterogeneity bias. What is more, it addresses the risk of simultaneity bias (endogeneity of firms’ education-mix choices in the short run) using the structural approach suggested by Ackerberg, Caves & Frazer (2006), alongside more traditional system-generalized method of moments (GMM) methods (Blundell & Bond, 1998) where lagged values of labour inputs are used as instruments. Results suggest that human capital, in particular larger shares of university-educated workers inside firms, translate into significantly higher firm-level labour productivity, and that labour costs are relatively well aligned on education-driven labour productivity differences. In other words, we find evidence that the Mincerian relationship between education and individual wages is driven by a strong positive link between education and firm-level productivity.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
freedom发布了新的文献求助10
刚刚
刚刚
刚刚
Hao完成签到,获得积分10
刚刚
1秒前
萝卜猪完成签到,获得积分10
1秒前
zzzz完成签到,获得积分20
1秒前
成江完成签到,获得积分10
2秒前
大个应助知性的囧采纳,获得10
2秒前
3秒前
Rylee发布了新的文献求助10
3秒前
3秒前
爱笑愚志完成签到,获得积分10
3秒前
你会后悔发布了新的文献求助10
3秒前
科研通AI6.3应助呜呜呜采纳,获得10
4秒前
4秒前
1111111发布了新的文献求助10
4秒前
lei发布了新的文献求助10
5秒前
天天快乐应助自信啤酒采纳,获得10
5秒前
6秒前
AA完成签到,获得积分10
6秒前
科研通AI6.1应助慕无忌采纳,获得10
6秒前
深情安青应助LJL采纳,获得10
6秒前
打打应助王嘉鑫采纳,获得10
6秒前
6秒前
Jasper应助炸药采纳,获得10
6秒前
6秒前
6秒前
神火发布了新的文献求助20
6秒前
寒冷半雪完成签到,获得积分10
7秒前
漫漫完成签到 ,获得积分10
7秒前
Nemo1234发布了新的文献求助10
7秒前
打打应助聿木采纳,获得10
7秒前
哆啦的空间站应助hkh采纳,获得10
8秒前
虚心的芹发布了新的文献求助10
8秒前
单剑VV发布了新的文献求助10
8秒前
9秒前
Shirly完成签到,获得积分10
9秒前
CR7应助zzzz采纳,获得20
9秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016328
求助须知:如何正确求助?哪些是违规求助? 7598066
关于积分的说明 16152053
捐赠科研通 5164097
什么是DOI,文献DOI怎么找? 2764589
邀请新用户注册赠送积分活动 1745493
关于科研通互助平台的介绍 1634946