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 25 articles )

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  1. Papadopoulos, Alecos; Parmeter, Christopher F.: Type II failure and specification testing in the stochastic frontier model (2021)
  2. Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, Timo Kuosmanen: pyStoNED: A Python Package for Convex Regression and Frontier Estimation (2021) arXiv
  3. Ferrara, Giancarlo: Stochastic frontier models using R (2020)
  4. Glass, Anthony J.; Kenjegalieva, Karligash; Douch, Mustapha: Uncovering spatial productivity centers using asymmetric bidirectional spillovers (2020)
  5. Glass, Anthony J.; Kenjegalieva, Karligash; Weyman-Jones, Thomas: The effect of monetary policy on bank competition using the Boone index (2020)
  6. Sickles, Robin C.; Song, Wonho; Zelenyuk, Valentin: Econometric analysis of productivity: theory and implementation in R (2020)
  7. Parmeter, Christopher F.; Zelenyuk, Valentin: Combining the virtues of stochastic frontier and data envelopment analysis (2019)
  8. 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)
  9. Jonathan Holtkamp; Bernhard Brümmer: Stochastic Frontier Analysis Using SFAMB for Ox (2017) not zbMATH
  10. Khiewngamdee, Chatchai; Sriboonchitta, Songsak; Chanaim, Somsak; Rungruang, Chongkolnee: Coffee stochastic frontier model with maximum entropy (2017)
  11. Song, Junmo; Oh, Dong-hyun; Kang, Jiwon: Robust estimation in stochastic frontier models (2017)
  12. Badunenko, Oleg; Kumbhakar, Subal C.: When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models (2016) ioport
  13. Coto-Millán, Pablo; Fernández, Xose Luís; Pesquera, Miguel Ángel; Agüeros, Manuel: Impact of logistics on technical efficiency of world production (2007--2012) (2016)
  14. Ortega, Francisco J.; Gavilan, Jose M.: Bayesian estimation of the half-normal regression model with deterministic frontier (2016)
  15. Scippacercola, Sergio; Sepe, Enrica: Ordinal principal component analysis for a common ranking of stochastic frontiers (2016)
  16. Lampe, Hannes W.; Hilgers, Dennis: Trajectories of efficiency measurement: a bibliometric analysis of DEA and SFA (2015)
  17. Lin, Winston T.; Chen, Yueh H.; Shao, Benjamin B. M.: Assessing the business values of information technology and e-commerce independently and jointly (2015)
  18. Macedo, Pedro; Scotto, Manuel: Cross-entropy estimation in technical efficiency analysis (2014)
  19. Kumbhakar, Subal C.; Parmeter, Christopher F.; Tsionas, Efthymios G.: A zero inefficiency stochastic frontier model (2013)
  20. Bogetoft, Peter; Otto, Lars: Benchmarking with DEA, SFA, and R. (2011)

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