Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models
This paper makes two important contributions to the literature on prediction intervals for firm specific inefficiency estimates in cross sectional SFA models. Firstly, the existing intervals in the literature do not correspond to the minimum width intervals and in this paper we discuss how to comput...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/53874 |
| _version_ | 1848759248809361408 |
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| author | Wheat, P. Greene, William Smith, A. |
| author_facet | Wheat, P. Greene, William Smith, A. |
| author_sort | Wheat, P. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper makes two important contributions to the literature on prediction intervals for firm specific inefficiency estimates in cross sectional SFA models. Firstly, the existing intervals in the literature do not correspond to the minimum width intervals and in this paper we discuss how to compute such intervals and how they either include or exclude zero as a lower bound depending on where the probability mass of the distribution of $$ u_{i} |\varepsilon_{i} $$ui|ei resides. This has useful implications for practitioners and policy makers, with greatest reductions in interval width for the most efficient firms. Secondly, we propose an ‘asymptotic’ approach to incorporating parameter uncertainty into prediction intervals for firm specific inefficiency (given that in practice model parameters have to be estimated) as an alternative to the ‘bagging’ procedure suggested in Simar and Wilson (Econom Rev 29(1):62–98, 2010). The approach is computationally much simpler than the bagging approach. |
| first_indexed | 2025-11-14T09:56:52Z |
| format | Journal Article |
| id | curtin-20.500.11937-53874 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:56:52Z |
| publishDate | 2014 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-538742017-10-12T07:10:27Z Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models Wheat, P. Greene, William Smith, A. This paper makes two important contributions to the literature on prediction intervals for firm specific inefficiency estimates in cross sectional SFA models. Firstly, the existing intervals in the literature do not correspond to the minimum width intervals and in this paper we discuss how to compute such intervals and how they either include or exclude zero as a lower bound depending on where the probability mass of the distribution of $$ u_{i} |\varepsilon_{i} $$ui|ei resides. This has useful implications for practitioners and policy makers, with greatest reductions in interval width for the most efficient firms. Secondly, we propose an ‘asymptotic’ approach to incorporating parameter uncertainty into prediction intervals for firm specific inefficiency (given that in practice model parameters have to be estimated) as an alternative to the ‘bagging’ procedure suggested in Simar and Wilson (Econom Rev 29(1):62–98, 2010). The approach is computationally much simpler than the bagging approach. 2014 Journal Article http://hdl.handle.net/20.500.11937/53874 10.1007/s11123-013-0346-y Springer restricted |
| spellingShingle | Wheat, P. Greene, William Smith, A. Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models |
| title | Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models |
| title_full | Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models |
| title_fullStr | Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models |
| title_full_unstemmed | Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models |
| title_short | Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models |
| title_sort | understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models |
| url | http://hdl.handle.net/20.500.11937/53874 |