Likelihood computation in the normal-gamma stochastic frontier model
Author
Abstract
Suggested Citation
DOI: 10.1007/s00180-017-0768-5
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Christian Ritter & Léopold Simar, 1997.
"Pitfalls of Normal-Gamma Stochastic Frontier Models,"
Journal of Productivity Analysis, Springer, vol. 8(2), pages 167-182, May.
- RITTER, Christian & SIMAR, Leopold, 1994. "Pitfalls of Normal-Gamma Stochastic Frontier Models," LIDAM Discussion Papers CORE 1994041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Ritter, C. & Simar, L., 1997. "Pitfalls of normal-gamma stochastic frontier models," LIDAM Reprints CORE 1272, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
- William Greene, 2003.
"Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function,"
Journal of Productivity Analysis, Springer, vol. 19(2), pages 179-190, April.
- William H. Greene, 2000. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," Working Papers 00-05, New York University, Leonard N. Stern School of Business, Department of Economics.
- Greene, W.H., 2000. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," New York University, Leonard N. Stern School Finance Department Working Paper Seires 00-05, New York University, Leonard N. Stern School of Business-.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
- Richard L. Warr, 2014. "Numerical Approximation of Probability Mass Functions via the Inverse Discrete Fourier Transform," Methodology and Computing in Applied Probability, Springer, vol. 16(4), pages 1025-1038, December.
- Cullinane, Kevin & Wang, Teng-Fei & Song, Dong-Wook & Ji, Ping, 2006. "The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 354-374, May.
- Beckers, Dominique E. & Hammond, Christopher J., 1987. "A tractable likelihood function for the normal-gamma stochastic frontier model," Economics Letters, Elsevier, vol. 24(1), pages 33-38.
- Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
- Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
- Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
- Mustafa U. Karakaplan & Levent Kutlu, 2019. "School district consolidation policies: endogenous cost inefficiency and saving reversals," Empirical Economics, Springer, vol. 56(5), pages 1729-1768, May.
- Jun Cai & William C. Horrace & Christopher F. Parmeter, 2021.
"Density deconvolution with Laplace errors and unknown variance,"
Journal of Productivity Analysis, Springer, vol. 56(2), pages 103-113, December.
- Jun Cai & William C. Horrace & Christopher F. Parmeter, 2020. "Density Deconvolution with Laplace Errors and Unknown Variance," Center for Policy Research Working Papers 225, Center for Policy Research, Maxwell School, Syracuse University.
- Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
- William Greene, 2003.
"Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function,"
Journal of Productivity Analysis, Springer, vol. 19(2), pages 179-190, April.
- William H. Greene, 2000. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," Working Papers 00-05, New York University, Leonard N. Stern School of Business, Department of Economics.
- Greene, W.H., 2000. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," New York University, Leonard N. Stern School Finance Department Working Paper Seires 00-05, New York University, Leonard N. Stern School of Business-.
- Eduardo Fé & Richard Hofler, 2013.
"Count data stochastic frontier models, with an application to the patents–R&D relationship,"
Journal of Productivity Analysis, Springer, vol. 39(3), pages 271-284, June.
- Eduardo Fé-Rodríguez & Richard Hofler, 2009. "Count Data Stochastic Frontier Models, with an application to the patents-R&D Relationship," Economics Discussion Paper Series 0916, Economics, The University of Manchester.
- Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.
- Tsionas, Efthymios G., 2012. "Maximum likelihood estimation of stochastic frontier models by the Fourier transform," Journal of Econometrics, Elsevier, vol. 170(1), pages 234-248.
- Cuéllar Martín, Jaime & Martín-Román, Ángel L. & Moral, Alfonso, 2017. "A composed error model decomposition and spatial analysis of local unemployment," MPRA Paper 79783, University Library of Munich, Germany.
- Léopold Simar & Valentin Zelenyuk, 2011.
"Stochastic FDH/DEA estimators for frontier analysis,"
Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
- Leopold Simar & Valentin Zelenyuk, 2008. "Stochastic FDH/DEA estimators for Frontier Analysis," Discussion Papers 8, Kyiv School of Economics.
- Simar, Leopold & Zelenyuk, Valentin, 2011. "Stochastic FDH/DEA estimators for frontier analysis," LIDAM Reprints ISBA 2011026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Simar, Leopold & Zelenyuk, Valentin, 2010. "Stochastic FDH/DEA estimators for frontier analysis," LIDAM Reprints ISBA 2010008, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Uwe Jensen & Hermann Gartner & Susanne Rässler, 2010. "Estimating German overqualification with stochastic earnings frontiers," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(1), pages 33-51, March.
- van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994.
"Stochastic frontier models : A Bayesian perspective,"
Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
- Koop, Gary & Osiewalski, Jacek & Steel, Mark F.J. & Broeck, Julien Van den, 1992. "Stochastic frontier models: a bayesian perspective," UC3M Working papers. Economics 2823, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Willam Greene, 2005.
"Fixed and Random Effects in Stochastic Frontier Models,"
Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
- William Greene, 2002. "Fixed and Random Effects in Stochastic Frontier Models," Working Papers 02-16, New York University, Leonard N. Stern School of Business, Department of Economics.
- Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Misgan Desale Nigusie, 2024. "Normal-beta exponential stochastic frontier model: Maximum simulated likelihood approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(3), pages 489-504, September.
- Alecos Papadopoulos, 2021. "Stochastic frontier models using the Generalized Exponential distribution," Journal of Productivity Analysis, Springer, vol. 55(1), pages 15-29, February.
- Gholamreza Hajargasht & William E. Griffiths, 2018.
"Estimation and testing of stochastic frontier models using variational Bayes,"
Journal of Productivity Analysis, Springer, vol. 50(1), pages 1-24, October.
- Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
- Léopold Simar & Ingrid Keilegom & Valentin Zelenyuk, 2017.
"Nonparametric least squares methods for stochastic frontier models,"
Journal of Productivity Analysis, Springer, vol. 47(3), pages 189-204, June.
- Simar, Leopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2014. "Nonparametric Least Squares Methods for Stochastic Frontier Models," LIDAM Discussion Papers ISBA 2014012, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Leopold Simar & Ingrid Van Keilegom & Valentin Zelenyuk, 2014. "Nonparametric Least Squares Methods for Stochastic Frontier Models," CEPA Working Papers Series WP032014, School of Economics, University of Queensland, Australia.
- Simar, Leopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2017. "Nonparametric Least Squares Methods for Stochastic Frontier Models," LIDAM Reprints ISBA 2017026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Eduardo Fé, 2013. "Estimating production frontiers and efficiency when output is a discretely distributed economic bad," Journal of Productivity Analysis, Springer, vol. 39(3), pages 285-302, June.
- Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
More about this item
Keywords
Fourier transform; Gaussian quadrature; Random effects; Randomized quasi-Monte Carlo;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:compst:v:33:y:2018:i:2:d:10.1007_s00180-017-0768-5. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.