Efficiency in the provision of social care for older people. A three-stage Data Envelopment Analysis using self-reported quality of life

Iparraguirre, José Luis; Ma, Ruosi

doi:10.1016/j.seps.2014.10.001

Cited by 23 publications

(15 citation statements)

References 51 publications

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“…As a depiction of this evolution, Cooper et al (2007) point to the growing number of studies that combine DEA scores obtained in a first stage with those of multivariate data analysis (such as regression analysis) in a second stage, when the scores are incorporated in the form of the dependent variable (see, for instance, Iparraguirre and Ma, 2014;Poveda, 2011;Jitsuzumi and Nakamura, 2010;Thoraneenitiyan and Avkiran, 2009;McDonald, 2009;Liu and Tone, 2008) Simar and Wilson (2007) variables. The authors showed that only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful.…”

Section: Two-stage Dea Modelsmentioning

confidence: 99%

Public-private partnerships and scale efficiency in Brazilian ports: Evidence from two-stage DEA analysis

Wänke

Barros

2015

Socio-Economic Planning Sciences

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Section: Two-stage Dea Modelsmentioning

confidence: 99%

Public-private partnerships and scale efficiency in Brazilian ports: Evidence from two-stage DEA analysis

Wänke

Barros

2015

Socio-Economic Planning Sciences

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“…In particular, the nursing home units in Ireland should be incentivised to increase their scale of operation in order to improve their technical efficiency and to produce at optimal scale. Iparraguirre and Ma (2015). The studies are presented in alphabetical order.…”

Section: Discussionmentioning

confidence: 99%

“…However, to investigate the effects of these variables, we apply the double bootstrap procedure developed by Simar and Wilson (2007) in the second stage, which not only enables robust estimation of the parameters of efficiency determinants, but also re-estimates the efficiency scores to take account of these determining variables. To our knowledge, only Borge and Haraldsvik (2009), who examine the impact of three key determinants of efficiency in public homes in Norway, and the recent study by Iparraguirre and Ma (2015), which investigates efficiency in the provision of social care for older people in England, have previously applied this technique in evaluating efficiency in the elderly care sector.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Technical and scale efficiency in public and private Irish nursing homes – a bootstrap DEA approach

Luasa

Dineen

Zieba

2016

Health Care Manag Sci

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This article provides methodological and empirical insights into the estimation of technical efficiency in the nursing home sector. Focusing on long-stay care and using primary data, we examine technical and scale efficiency in 39 public and 73 private Irish nursing homes by applying an input-oriented data envelopment analysis (DEA). We employ robust bootstrap methods to validate our nonparametric DEA scores and to integrate the effects of potential determinants in estimating the efficiencies. Both the homogenous and two-stage double bootstrap procedures are used to obtain confidence intervals for the bias-corrected DEA scores. Importantly, the application of the double bootstrap approach affords true DEA technical efficiency scores after adjusting for the effects of ownership, size, case-mix, and other determinants such as location, and quality. Based on our DEA results for variable returns to scale technology, the average technical efficiency score is 62%, and the mean scale efficiency is 88%, with nearly all units operating on the increasing returns to scale part of the production frontier. Moreover, based on the double bootstrap results, Irish nursing homes are less technically efficient, and more scale efficient than the conventional DEA estimates suggest. Regarding the efficiency determinants, in terms of ownership, we find that private facilities are less efficient than the public units. Furthermore, the size of the nursing home has a positive effect, and this reinforces our finding that Irish homes produce at increasing returns to scale. Also, notably, we find that a tendency towards quality improvements can lead to poorer technical efficiency performance.

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“…The Tobit regression is appropriate for this study since the dependent variable, the eciency score ranges from 0 and 1 (e.g. Fizel and Nunnikhoven, 1993;Kooreman, 1994;Wang and Chou, 2003;Garavaglia et al, 2011;Iparraguirre and Ma, 2015). The regression model is presented in (2).…”

Section: Methodsmentioning

confidence: 99%

Determinants of Nursing Homes Performance: The Case of Portuguese Santas Casas da Misericórdia

Veloso

Vaz

Alves

2018

Springer Proceedings in Mathematics &Amp; Statistics

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This study aims to evaluate the economic eciency of Nursing Homes owned by 96 Santas Casas da Misericórdia (SCM) and the determinants that inuenced their eciency in 2012 and 2013. The SCM are the oldest non-prot entities, which belong to Third Sector in Portugal, provide this social response and receive signicant nancial contributions annually from the state. The study is developed in two stages. In the rst stage, the eciency scores were calculated through the non-parametric DEA technique. In the second stage, Tobit regression is used to verify the eect of certain organizational variables on eciency, namely the number of users and existence of Nursing Home chains. The results of the DEA model show that the eciency average is 81.9%, and only 10 out of 96 Nursing Homes are ecient. Tobit regression shows that the number of users has a positive eect on the eciency of Nursing Homes, whereas the existence of Nursing Home chains aects their eciency negatively.

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Efficiency in the provision of social care for older people. A three-stage Data Envelopment Analysis using self-reported quality of life

Cited by 23 publications

References 51 publications

Public-private partnerships and scale efficiency in Brazilian ports: Evidence from two-stage DEA analysis

Public-private partnerships and scale efficiency in Brazilian ports: Evidence from two-stage DEA analysis

Technical and scale efficiency in public and private Irish nursing homes – a bootstrap DEA approach

Determinants of Nursing Homes Performance: The Case of Portuguese Santas Casas da Misericórdia

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