@article{Belotti:252689,
      recid = {252689},
      author = {Belotti, Federico and Daidone, Silvio and Ilardi, Giuseppe  and Atella, Vincenzo},
      title = {Stochastic frontier analysis using Stata},
      journal = {Stata Journal},
      address = {2013},
      number = {199-2016-2852},
      pages = {42},
      year = {2013},
      abstract = {This article describes sfcross and sfpanel, two new Stata  commands for the estimation of cross-sectional and  panel-data stochastic frontier models. sfcross extends the  capabilities of the frontier command by including  additional models (Greene, 2003, Journal of Productivity  Analysis 19: 179–190; Wang, 2002, Journal of Productivity  Analysis 18: 241–253) and command functionality, such as  the possibility of managing complex survey data  characteristics. Similarly, sfpanel allows one to fit a  much wider range of time-varying inefficiency models  compared with the xtfrontier command, including the model  of Cornwell, Schmidt, and Sickles (1990, Journal of  Econometrics 46: 185–200); the model of Lee and Schmidt  (1993, in The Measurement of Productive Efficiency:  Techniques and Applications), a production frontier model  with flexible temporal variation in technical efficiency;  the flexible model of Kumbhakar (1990, Journal of  Econometrics 46: 201–211); the inefficiency effects model  of Battese and Coelli (1995 Empirical Economics 20:  325–332); and the "true" fixed- and random-effects models  of Greene (2005a, Journal of Econometrics 126: 269–303). A  brief overview of the stochastic frontier literature, a  description of the two commands and their options, and  examples using simulated and real data are provided.},
      url = {http://ageconsearch.umn.edu/record/252689},
      doi = {https://doi.org/10.22004/ag.econ.252689},
}