IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!)

Citations for "Pitfalls of Normal-Gamma Stochastic Frontier Models"

by RITTER, Christian & SIMAR, Leopold

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Fuwa, Nobuhiko & Edmonds, Christopher M. & Banik, Pabitra, 2005. "How Inefficient Really Are the Small-Scale Rice Farmers in Eastern India?: Examining the Effects of Microtopography on the Estimation of Technical Efficiency," 2005 Annual meeting, July 24-27, Providence, RI 19435, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  2. Jensen, Uwe & Gartner, Hermann & Rässler, Susanne, 2006. "Measuring overeducation with earnings frontiers and multiply imputed censored income data," IAB Discussion Paper 200611, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  3. Cuesta, Rafael A. & Orea, Luis, 2002. "Mergers and technical efficiency in Spanish savings banks: A stochastic distance function approach," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2231-2247.
  4. Leppin, Julian Sebastian, 2012. "The estimation of reservation wages: A simulation-based comparison," HWWI Research Papers 124, Hamburg Institute of International Economics (HWWI).
  5. Jim E. Griffin & Mark F.J. Steel, 2002. "Semiparametric Bayesian Inference for Stochastic Frontier Models," Econometrics 0209001, EconWPA, revised 18 Sep 2002.
  6. El Mehdi, Rachida & Hafner, Christian M., 2014. "Inference in stochastic frontier analysis with dependent error terms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 102(C), pages 131-143.
  7. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
  8. Guangjie Li, 2015. "A stochastic frontier model with structural breaks in efficiency and technology," Empirical Economics, Springer, vol. 49(1), pages 131-159, August.
  9. Behr, Andreas & Tente, Sebastian, 2008. "Stochastic frontier analysis by means of maximum likelihood and the method of moments," Discussion Paper Series 2: Banking and Financial Studies 2008,19, Deutsche Bundesbank, Research Centre.
  10. Federico Belotti & Giuseppe Ilardi, 2012. "Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model," CEIS Research Paper 231, Tor Vergata University, CEIS, revised 18 Apr 2012.
  11. Estache, Antonio & Gonzalez, Marianela & Trujillo, Lourdes, 2001. "Technical efficiency gains from port reform : the potential for yardstick competition in Mexico," Policy Research Working Paper Series 2637, The World Bank.
  12. Bougna, Emmanuel & Crozet, Yves, 2016. "Towards a liberalised European rail transport: Analysing and modelling the impact of competition on productive efficiency," Research in Transportation Economics, Elsevier, vol. 59(C), pages 358-367.
  13. Vincenzo Atella & Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Giorgia Marini, 2012. "Cost-containment policies and hospital efficiency: evidence from a panel of Italian hospitals," CEIS Research Paper 228, Tor Vergata University, CEIS, revised 13 Apr 2012.
  14. Fabio Pieri & Enrico Zaninotto, 2010. "The Impact of Vertical Integration and Outsourcing on Firm Efficiency: Evidence from the Italian Machine Tool Industry," DISA Working Papers 1001, Department of Computer and Management Sciences, University of Trento, Italy, revised 11 Mar 2010.
  15. Fabio Pieri & Enrico Zaninotto, 2013. "Vertical integration and efficiency: an application to the Italian machine tool industry," Small Business Economics, Springer, vol. 40(2), pages 397-416, February.
  16. Jakub Growiec & Anna Pajor & Dorota Pelle & Artur Prędki, 2011. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," National Bank of Poland Working Papers 102, National Bank of Poland, Economic Institute.
  17. Léopold Simar & Valentin Zelenyuk, 2011. "Stochastic FDH/DEA estimators for frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
  18. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
  19. Rossi, Martín, 2000. "Análisis de eficiencia aplicado a la regulación ¿Es importante la Distribución Elegida para el Término de Ineficiencia?," UADE Textos de Discusión 22_2000, Instituto de Economía, Universidad Argentina de la Empresa.
  20. Osiewalski, J. & Steel, M.F.J., 1996. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Discussion Paper 1996-03, Tilburg University, Center for Economic Research.
  21. Jensen, Uwe & Rässler, Susanne, 2007. "The effects of collective bargaining on firm performance : new evidence based on stochastic production frontiers and multiply imputed German establishment data," IAB-Forschungsbericht 200703, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  22. William C. Horrace & Ian A. Wright, 2016. "Stationary Points for Parametric Stochastic Frontier Models," Center for Policy Research Working Papers 196, Center for Policy Research, Maxwell School, Syracuse University.
  23. Li, Kai, 2007. "The growth in equity market size and trading activity: An international study," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 59-90, January.
  24. Kai Li, 2004. "The Growth of Global Equity Markets: A Closer Look," Econometric Society 2004 North American Winter Meetings 54, Econometric Society.
  25. Inanoglu, Hulusi & Jacobs, Michael, Jr. & Liu, Junrong & Sickles, Robin, 2015. "Analyzing Bank Efficiency: Are "Too-Big-to-Fail" Banks Efficient?," Working Papers 15-016, Rice University, Department of Economics.
  26. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
  27. Bhattacharyya, Arunava & Harris, Thomas R. & Narayanan, Rangesan & Raffiee, Kambiz, 1995. "Technical Efficiency Of Rural Water Utilities," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(02), pages -, December.
  28. Elina Berghäll, 2006. "Technical Efficiency in an R&D Intensive Industry: Finnish ICT Manufacturing," Discussion Papers 389, Government Institute for Economic Research Finland (VATT).
  29. Hafner, C. & Manner, H. & Simar, L., 2015. "The “wrong skewness” problem in stochastic frontier models: a new approach," CORE Discussion Papers 2015014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  30. J. Griffin & M. Steel, 2008. "Flexible mixture modelling of stochastic frontiers," Journal of Productivity Analysis, Springer, vol. 29(1), pages 33-50, February.
  31. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
  32. Du, Limin & He, Yanan & Yan, Jianye, 2013. "The effects of electricity reforms on productivity and efficiency of China's fossil-fired power plants: An empirical analysis," Energy Economics, Elsevier, vol. 40(C), pages 804-812.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.