Can HRM Improve Schools' Performance?

Alex Bryson, Lucy Stokes and David Wilkinson
Additional contact information
Lucy Stokes: National Institute of Social and Economic Research

No 18-01, DoQSS Working Papers from Quantitative Social Science - UCL Social Research Institute, University College London

Abstract: Evidence on schools' performance is confined to comparisons across schools, usually based on value-added measures. We adopt an alternative approach comparing schools to observationally equivalent workplaces in the rest of the British economy using measures of workplace performance that are common across all workplaces. We focus on the role played by management practices in explaining differences in the performance of schools versus other workplaces, and performance across the schools' sector. We find intensive use of HRM practices is correlated with substantial improvement in workplace performance, both among schools and other workplaces. However, the types of practices that improve school performance are different from those that improve performance elsewhere in the economy. Furthermore, in contrast to the linear returns to HRM intensity in most workplaces, improvements in schools' performance are an increasing function of HRM intensity.

Keywords: School performance; Human resource management; Matching; first differences (search for similar items in EconPapers)
JEL-codes: I21 (search for similar items in EconPapers)
Date: 2018-02-01
New Economics Papers: this item is included in nep-hrm and nep-ure
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://repec.ucl.ac.uk/REPEc/pdf/qsswp1801.pdf (application/pdf)

Related works:
Working Paper: Can HRM Improve Schools' Performance? (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:qss:dqsswp:1801

Access Statistics for this paper

More papers in DoQSS Working Papers from Quantitative Social Science - UCL Social Research Institute, University College London Quantitative Social Science, Social Research Institute, 55-59 Gordon Square, London WC1H 0NU. Contact information at EDIRC.
Bibliographic data for series maintained by Dr Neus Bover Fonts ().