Measuring efficiency from casemix funding in Victoria using the stochastic frontier
The Australian state of Victoria experienced a fundamental change in public hospital funding in 1993 with the introduction of casemix funding using diagnosis related groups. One of the primary drivers of this altered funding regime was to introduce a mechanism by which public hospitals could be com...
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| Format: | Working Paper |
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Centre for Research in Applied Economics, Curtin Business School, Curtin University of Technology
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/20476 |
| _version_ | 1848750315206082560 |
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| author | Mangano, Maria |
| author_facet | Mangano, Maria |
| author_sort | Mangano, Maria |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The Australian state of Victoria experienced a fundamental change in public hospital funding in 1993 with the introduction of casemix funding using diagnosis related groups. One of the primary drivers of this altered funding regime was to introduce a mechanism by which public hospitals could be compared for costs. Cost comparisons would then create an incentive for efficiency improvements because efficient hospitals would attract increased funding. This paper applies stochastic frontier estimation of a production function to panel data for the period 92/93 to 95/96 in order to establish whether, in fact, efficiency improvements were realised over this period. The results show that there was no significant change to individual hospital efficiency levels. |
| first_indexed | 2025-11-14T07:34:53Z |
| format | Working Paper |
| id | curtin-20.500.11937-20476 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:34:53Z |
| publishDate | 2007 |
| publisher | Centre for Research in Applied Economics, Curtin Business School, Curtin University of Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-204762017-01-30T12:19:29Z Measuring efficiency from casemix funding in Victoria using the stochastic frontier Mangano, Maria Victoria efficiency measurement casemix funding stochastic frontier The Australian state of Victoria experienced a fundamental change in public hospital funding in 1993 with the introduction of casemix funding using diagnosis related groups. One of the primary drivers of this altered funding regime was to introduce a mechanism by which public hospitals could be compared for costs. Cost comparisons would then create an incentive for efficiency improvements because efficient hospitals would attract increased funding. This paper applies stochastic frontier estimation of a production function to panel data for the period 92/93 to 95/96 in order to establish whether, in fact, efficiency improvements were realised over this period. The results show that there was no significant change to individual hospital efficiency levels. 2007 Working Paper http://hdl.handle.net/20.500.11937/20476 Centre for Research in Applied Economics, Curtin Business School, Curtin University of Technology fulltext |
| spellingShingle | Victoria efficiency measurement casemix funding stochastic frontier Mangano, Maria Measuring efficiency from casemix funding in Victoria using the stochastic frontier |
| title | Measuring efficiency from casemix funding in Victoria using the stochastic frontier |
| title_full | Measuring efficiency from casemix funding in Victoria using the stochastic frontier |
| title_fullStr | Measuring efficiency from casemix funding in Victoria using the stochastic frontier |
| title_full_unstemmed | Measuring efficiency from casemix funding in Victoria using the stochastic frontier |
| title_short | Measuring efficiency from casemix funding in Victoria using the stochastic frontier |
| title_sort | measuring efficiency from casemix funding in victoria using the stochastic frontier |
| topic | Victoria efficiency measurement casemix funding stochastic frontier |
| url | http://hdl.handle.net/20.500.11937/20476 |