EconPapers    
Economics at your fingertips  
 

A unified productivity-performance approach applied to secondary schools

Laurens Cherchye, Kristof De Witte and Sergio Perelman

Journal of the Operational Research Society, 2019, vol. 70, issue 9, 1522-1537

Abstract: We introduce a novel diagnostic tool to improve the performance of public services. We propose a method to compute performance/productivity ratios, which can be applied as soon as data on production units' outcomes and resources are available. Assuming outcome improvement as the main objective in a public services context, these ratios have an intuitive interpretation: values below unity indicate that better outcomes can be attained through weaker resource constraints (pointing at scarcity of resources) and, conversely, values above unity indicate that better outcomes can be achieved with the given resources (pointing at unexploited production capacity). We demonstrate the practical usefulness of our methodology through an application to secondary schools, where we account for outlier behaviour and environmental effects by using a robust nonparametric estimation method. Our results indicate that in most cases schools' performance improvement is a matter of unexploited production capacity, while scarcity of resources is a lesser issue.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2018.1489351 (text/html)
Access to full text is restricted to subscribers.

Related works:
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:taf:tjorxx:v:70:y:2019:i:9:p:1522-1537

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20

DOI: 10.1080/01605682.2018.1489351

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald

More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-22
Handle: RePEc:taf:tjorxx:v:70:y:2019:i:9:p:1522-1537