Data envelopment analysis (DEA) in the educational sciences

Shero, Jeffrey; Otaiba, Stephanie Al; Schatschneider, Christopher; Hart, Sara A.

doi:10.1080/00220973.2021.1906198

Cited by 7 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is parametric and cannot be generalised to results at the extremes of the distribution. Is prone to bias due to omitted variables, multicollinearity and autoregression, although there are tests and extensions to increase robustness 50…”

Section: Discussionmentioning

confidence: 99%

“…There are methods to address these issues, but they are not as reliable as other methods. They are limited to the individual or population analysed, so the results cannot be generalised to other populations without subsequent analyses using other methods 50…”

Section: Discussionmentioning

confidence: 99%

“…They are limited to the individual or population analysed, so the results cannot be generalised to other populations without subsequent analyses using other methods. 50 …”

Section: Discussionmentioning

confidence: 99%

“…Is prone to bias due to omitted variables, multicollinearity and autoregression, although there are tests and extensions to increase robustness. 50 Armenteros-Ruiz T, et al BMJ Open 2024;14:e076853.…”

Section: Discussionmentioning

confidence: 99%

“…They are limited to the individual or population analysed, so the results cannot be generalised to other populations without subsequent analyses using other methods. 50 Another methodological issue to consider is the difference between DEA and SFA. DEA is the most commonly used method in mathematical programming to estimate production frontiers.…”

Section: Open Accessmentioning

confidence: 99%

See 4 more Smart Citations

Evaluating the decentralisation of the Spanish healthcare system: a data envelopment analysis approach

Armenteros-Ruiz,

Ballesteros-Ron,

Rodriguez-Mañero

et al. 2024

BMJ Open

View full text Add to dashboard Cite

ObjectivesThe aim of the study was to answer whether the central government has been more efficient than the regional governments or vice versa. Likewise, through the analysis of the data, the aim was to shed light on whether decentralisation has had a positive impact on the efficiency of the hospital sector or not.DesignIn this paper, we have used data envelopment analysis to analyse the evolution of efficiency in the last 10 Autonomous Regions to receive healthcare competences at the end of 2001.ParticipantsFor this study, we have taken into account the number of beds and full-time workers as inputs and the calculation of basic care units as outputs to measure the efficiency of the Spanish public sector, private sector and jointly in the years 2002, 2007, 2012 and 2017 for the last Autonomous Regions receiving healthcare competences.ResultsOf the Autonomous Regions that received the transfers at the end of 2001, the following stand out for their higher efficiency growth: the Balearic Islands (81.44% improvement), the Madrid Autonomous Region, which practically reached absolute efficiency levels (having increased by 63.77%), and La Rioja which, together with the Balearic Islands which started from very low values, improved notably (46.13%).ConclusionIn general, it can be observed that the transfer of responsibilities in the health sector has improved efficiency in the National Health Service.JEL classificationC14; I18; H21.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…They are limited to the individual or population analysed, so the results cannot be generalised to other populations without subsequent analyses using other methods. 50 …”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Open Accessmentioning

confidence: 99%

See 3 more Smart Citations