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Modelling the Dynamics of a Public Health Care System: Evidence from Time-Series Data

Fabrizio Iacone, Steve Martin, Luigi Siciliani and Peter Smith
Additional contact information
Steve Martin: Department of Economics and Related Studies, University of York
Peter Smith: Centre for Health Economics, University of York

No 029cherp, Working Papers from Centre for Health Economics, University of York

Abstract: The English National Health Service was established in 1948, and has therefore yielded some long time series data on health system performance. Waiting times for inpatient care have been a persistent cause of policy concern since the creation of the NHS. This paper develops a theoretical model of the dynamic interaction between key indicators of health system performance. It then investigates empirically the relationship between hospital activity, waiting times and population characteristics using aggregate time-series data for the NHS over the period 1952-2005. Structural Vector Auto-Regression suggests that in the long run: a) higher activity is associated with lower waiting times (elasticity = -0.9%); b) a higher proportion of old population is associated with higher waiting times (elasticity = 1.6%). In the short run, higher lagged waiting time leads to higher activity (elasticity = 0.2%). We also find that shocks in waiting times are countered by higher activity, so the effect is only temporary, while shocks in activity have a permanent effect. We conclude that policies to reduce waiting times should focus on initiatives that increase hospital activity.

Keywords: Waiting times; Dynamics; Vector Auto-Regression. (search for similar items in EconPapers)
JEL-codes: H42 H52 I11 I18 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2007-09
New Economics Papers: this item is included in nep-hea
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http://www.york.ac.uk/media/che/documents/papers/r ... alth_care_system.pdf First version, 2007 (application/pdf)

Related works:
Journal Article: Modelling the dynamics of a public health care system: evidence from time-series data (2012) Downloads
Working Paper: Modelling the Dynamics of a Public Health Care System: Evidence from Time-Series Data (2007) Downloads
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