frontier: Stochastic Frontier Analysis. Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components specification with time-varying efficiencies (Battese and Coelli, 1992) and a model specification in which the firm effects are directly influenced by a number of variables (Battese and Coelli, 1995).

References in zbMATH (referenced in 30 articles )

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  1. Zhu, Xiaonan; Wei, Zheng; Wang, Tonghui: Multivariate skew normal-based stochastic frontier models (2022)
  2. Jradi, Samah; Parmeter, Christopher F.; Ruggiero, John: Quantile estimation of stochastic frontiers with the normal-exponential specification (2021)
  3. Liu, Jianxu; Sriboonchitta, Songsak; Wiboonpongse, Aree; Denœux, Thierry: A trivariate Gaussian copula stochastic frontier model with sample selection (2021)
  4. Papadopoulos, Alecos; Parmeter, Christopher F.: Type II failure and specification testing in the stochastic frontier model (2021)
  5. Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, Timo Kuosmanen: pyStoNED: A Python Package for Convex Regression and Frontier Estimation (2021) arXiv
  6. Ferrara, Giancarlo: Stochastic frontier models using R (2020)
  7. Glass, Anthony J.; Kenjegalieva, Karligash; Douch, Mustapha: Uncovering spatial productivity centers using asymmetric bidirectional spillovers (2020)
  8. Glass, Anthony J.; Kenjegalieva, Karligash; Weyman-Jones, Thomas: The effect of monetary policy on bank competition using the Boone index (2020)
  9. Sickles, Robin C.; Song, Wonho; Zelenyuk, Valentin: Econometric analysis of productivity: theory and implementation in R (2020)
  10. Soberon, Alexandra; Stute, Winfried; Rodriguez-Poo, Juan M.: Testing for distributional features in varying coefficient panel data models (2020)
  11. Parmeter, Christopher F.; Zelenyuk, Valentin: Combining the virtues of stochastic frontier and data envelopment analysis (2019)
  12. Anaya, Karim L.; Pollitt, Michael G.: Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies (2017)
  13. Jonathan Holtkamp; Bernhard Brümmer: Stochastic Frontier Analysis Using SFAMB for Ox (2017) not zbMATH
  14. Khiewngamdee, Chatchai; Sriboonchitta, Songsak; Chanaim, Somsak; Rungruang, Chongkolnee: Coffee stochastic frontier model with maximum entropy (2017)
  15. Song, Junmo; Oh, Dong-hyun; Kang, Jiwon: Robust estimation in stochastic frontier models (2017)
  16. Badunenko, Oleg; Kumbhakar, Subal C.: When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models (2016) ioport
  17. Coto-Millán, Pablo; Fernández, Xose Luís; Pesquera, Miguel Ángel; Agüeros, Manuel: Impact of logistics on technical efficiency of world production (2007--2012) (2016)
  18. Ortega, Francisco J.; Gavilan, Jose M.: Bayesian estimation of the half-normal regression model with deterministic frontier (2016)
  19. Scippacercola, Sergio; Sepe, Enrica: Ordinal principal component analysis for a common ranking of stochastic frontiers (2016)
  20. Lampe, Hannes W.; Hilgers, Dennis: Trajectories of efficiency measurement: a bibliometric analysis of DEA and SFA (2015)

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