The impact of training on productivity and wages: Evidence from British Panel Data

231Citations
Citations of this article
243Readers
Mendeley users who have this article in their library.
Get full text

Abstract

It is standard in the literature on training to use wages as a sufficient statistic for productivity. This paper examines the effects of work-related training on direct measures of productivity. Using a new panel of British industries 1983-96 and a variety of estimation techniques we find that work-related training is associated with significantly higher productivity. A 1% point increase in training is associated with an increase in value added per hour of about 0.6% and an increase in hourly wages of about 0.3%. We also show evidence using individual-level data sets that is suggestive of training externalities. © Blackwell Publishing Ltd, 2006.

References Powered by Scopus

Some tests of specification for panel data:monte carlo evidence and an application to employment equations

19237Citations
N/AReaders
Get full text

Initial conditions and moment restrictions in dynamic panel data models

15722Citations
N/AReaders
Get full text

Chapter 30 The causal effect of education on earnings

1873Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Environmental standards and labor productivity: Understanding the mechanisms that sustain sustainability

234Citations
N/AReaders
Get full text

Human resource management and productivity

232Citations
N/AReaders
Get full text

Technology adoption, training and productivity performance

128Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Dearden, L., Reed, H., & Van Reenen, J. (2006). The impact of training on productivity and wages: Evidence from British Panel Data. Oxford Bulletin of Economics and Statistics, 68(4), 397–421. https://doi.org/10.1111/j.1468-0084.2006.00170.x

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 97

61%

Researcher 33

21%

Professor / Associate Prof. 20

13%

Lecturer / Post doc 8

5%

Readers' Discipline

Tooltip

Economics, Econometrics and Finance 73

47%

Business, Management and Accounting 50

32%

Social Sciences 22

14%

Engineering 9

6%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1
References: 1

Save time finding and organizing research with Mendeley

Sign up for free