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Considering Endogeneity, Quality of Care and Casemix- A Hierarchical Random Parameters Approach To Measuring Efficiency For Out of Hours Primary Care Services in Ireland

[journal article]

Lordan, Grace

Abstract

Modelling efficiency in healthcare with stochastic production frontier analysis can be cumbersome given that frequently outputs are multiple and exogenous. This analysis considers an approach where payroll is considered as an output in the health production function and services offered by the healt... view more

Modelling efficiency in healthcare with stochastic production frontier analysis can be cumbersome given that frequently outputs are multiple and exogenous. This analysis considers an approach where payroll is considered as an output in the health production function and services offered by the healthcare facility are seen as inputs. These services are generally modelled as outputs in the traditional production frontier approach. It is argued that this may be inappropriate when these services are exogenous and is even more troublesome with multiple output technology when a suitable aggregation method is not apparent. The objective of the function is then to minimise the payroll given the inputs. This approach is applied to micro panel data from primary care out of hours’ services which operate on the Island of Ireland. The model also considers approaches to the problem of controlling for heterogeneity. It deals specifically with heterogeneity associated with unobservable casemix and quality of care. These approaches are compared in terms of their statistical effect on efficiency values and their rankings as well as their theoretical merit.... view less

Document language
English

Publication Year
2009

Page/Pages
p. 3411-3423

Journal
Applied Economics, 41 (2009) 26

DOI
https://doi.org/10.1080/00036840701426592

Status
Postprint; peer reviewed

Licence
PEER Licence Agreement (applicable only to documents from PEER project)


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.