Yane, Shinji and Berg, Sanford (2011): Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities.
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This paper examines the robustness of efficiency score rankings across four distributional assumptions for trans-log stochastic production-frontier models, using data from 1,221 Japanese water utilities (for 2004 and 2005). One-sided error terms considered include the half-normal, truncated normal, exponential, and gamma distributions. Results are compared for homoscedastic and doubly heteroscedastic models, where we also introduce a doubly heteroscedastic variable mean model, and examine the sensitivity of the nested models to a stronger heteroscedasticity correction for the one-sided error component. The results support three conclusions regarding the sensitivity of efficiency rankings to distributional assumptions. When four standard distributional assumptions are applied to a homoscedastic stochastic frontier model, the efficiency rankings are quite consistent. When those assumptions are applied to a doubly heteroscedastic stochastic frontier model, the efficiency rankings are consistent when proper and sufficient arguments for the variance functions are included in the model. When a more general model, like a variable mean model is estimated, efficiency rankings are quite sensitive to heteroscedasticity correction schemes.
|Item Type:||MPRA Paper|
|Original Title:||Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities|
|Keywords:||stochastic production frontier models; Japanese water utilities; heteroscedasticity|
|Subjects:||L - Industrial Organization > L9 - Industry Studies: Transportation and Utilities > L95 - Gas Utilities; Pipelines; Water Utilities
C - Mathematical and Quantitative Methods > C2 - Single Equation Models; Single Variables > C20 - General
|Depositing User:||Sanford V. Berg|
|Date Deposited:||19. Aug 2011 08:13|
|Last Modified:||14. Feb 2013 04:44|
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