References in zbMATH (referenced in 35 articles )

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  1. Matulová, Markéta; Rejentová, Jana: Efficiency of European airports: parametric versus non-parametric approach (2021)
  2. Musau, Andrew; Kumbhakar, Subal C.; Mydland, Ørjan; Lien, Gudbrand: Determinants of allocative and technical inefficiency in stochastic frontier models: an analysis of Norwegian electricity distribution firms (2021)
  3. Papadopoulos, Alecos; Parmeter, Christopher F.: Type II failure and specification testing in the stochastic frontier model (2021)
  4. Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, Timo Kuosmanen: pyStoNED: A Python Package for Convex Regression and Frontier Estimation (2021) arXiv
  5. Wei, Zheng; Conlon, Erin M.; Wang, Tonghui: Asymmetric dependence in the stochastic frontier model using skew normal copula (2021)
  6. Afsharian, Mohsen; Bogetoft, Peter: Identifying production units with outstanding performance (2020)
  7. Atwood, Joseph; Shaik, Saleem: Theory and statistical properties of quantile data envelopment analysis (2020)
  8. Balk, Bert M.; Barbero, Javier; Zofío, José L.: A toolbox for calculating and decomposing total factor productivity indices (2020)
  9. Bobde, Sudhir Mahadeo; Tanaka, Makoto: Structural reforms and technical efficiency in the Indian electricity distribution sector (2020)
  10. Song, Malin; Wang, Jianlin; Zhao, Jiajia; Baležentis, Tomas; Shen, Zhiyang: Production and safety efficiency evaluation in Chinese coal mines: accident deaths as undesirable output (2020)
  11. Andor, Mark A.; Parmeter, Christopher; Sommer, Stephan: Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes (2019)
  12. Costa, Marcelo Azevedo; Mineti, Leandro Brioschi; Mayrink, Vinícius Diniz; Lopes, Ana Lúcia Miranda: Bayesian detection of clusters in efficiency score maps: an application to Brazilian energy regulation (2019)
  13. Kao, Chiang; Liu, Shiang-Tai: Stochastic efficiency measures for production units with correlated data (2019)
  14. Parmeter, Christopher F.; Zelenyuk, Valentin: Combining the virtues of stochastic frontier and data envelopment analysis (2019)
  15. Bjørndal, Endre; Bjørndal, Mette; Cullmann, Astrid; Nieswand, Maria: Finding the right yardstick: regulation of electricity networks under heterogeneous environments (2018)
  16. Bogetoft, Peter; Kromann, Lene: Evaluating treatment effects using data envelopment analysis on matched samples: an analysis of electronic information sharing and firm performance (2018)
  17. Nieswand, Maria; Seifert, Stefan: Environmental factors in frontier estimation -- a Monte Carlo analysis (2018)
  18. Park, SeJoon; Ok, Changsoo; Ha, Chunghun: A stochastic simulation-based holistic evaluation approach with DEA for vendor selection (2018)
  19. Ang, Frederic; Kerstens, Pieter Jan: Decomposing the Luenberger-Hicks-Moorsteen total factor productivity indicator: an application to U.S. agriculture (2017)
  20. Ferrara, Giancarlo; Vidoli, Francesco: Semiparametric stochastic frontier models: a generalized additive model approach (2017)

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