Investigating Technical Efficiency of Spanish Pig Farming: A Quantile Regression Approach
Author
Abstract
Suggested Citation
DOI: 10.22004/ag.econ.315196
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
References listed on IDEAS
- Behr, Andreas, 2010. "Quantile regression for robust bank efficiency score estimation," European Journal of Operational Research, Elsevier, vol. 200(2), pages 568-581, January.
- Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
- Chunping Liu & Audrey Laporte & Brian S. Ferguson, 2008.
"The quantile regression approach to efficiency measurement: insights from Monte Carlo simulations,"
Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1073-1087, September.
- ChunpingLiu & Audrey Laporte & Brian Ferguson, 2007. "The Quantile Regression Approach to Efficiency Measurement: Insights from Monte Carlo Simulations," Health, Econometrics and Data Group (HEDG) Working Papers 07/14, HEDG, c/o Department of Economics, University of York.
- Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
- Audrey Laporte & Adrian Rohit Dass, 2016. "The Use of Panel Quantile Regression for Efficiency Measurement: Insights from Monte Carlo Simulations," Working Papers 160005, Canadian Centre for Health Economics.
- R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
- Kaditi, Eleni A. & Nitsi, Elisavet I., 2010. "Applying regression quantiles to farm efficiency estimation," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61081, Agricultural and Applied Economics Association.
- Jradi, Samah & Parmeter, Christopher F. & Ruggiero, John, 2019. "Quantile estimation of the stochastic frontier model," Economics Letters, Elsevier, vol. 182(C), pages 15-18.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- Cristina Bernini & Marzia Freo & Attilio Gardini, 2004. "Quantile estimation of frontier production function," Empirical Economics, Springer, vol. 29(2), pages 373-381, May.
- Amy Hsu & Adrian Rohit Dass & Whitney Berta & Peter Coyte & Audrey Laporte, 2017. "Efficiency estimation with panel quantile regression: An application using longitudinal data from nursing homes in Ontario, Canada," Working Papers 170003, Canadian Centre for Health Economics.
- 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.
- 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.
- Tsionas, Mike G., 2020. "Quantile Stochastic Frontiers," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1177-1184.
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.- Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
- E. Fusco & R. Benedetti & F. Vidoli, 2023. "Stochastic frontier estimation through parametric modelling of quantile regression coefficients," Empirical Economics, Springer, vol. 64(2), pages 869-896, February.
- Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.
- Tsionas, Mike G. & Assaf, A. George & Andrikopoulos, Athanasios, 2020. "Quantile stochastic frontier models with endogeneity," Economics Letters, Elsevier, vol. 188(C).
- Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, Center for Economic and Financial Research (CEFIR).
- Galina Besstremyannaya, 2014. "The efficiency of labor matching and remuneration reforms: a panel data quantile regression approach with endogenous treatment variables," Working Papers w0206, New Economic School (NES).
- Zhao, Shirong, 2021. "Quantile estimation of stochastic frontier models with the normal–half normal specification: A cumulative distribution function approach," Economics Letters, Elsevier, vol. 206(C).
- Jradi, Samah & Parmeter, Christopher F. & Ruggiero, John, 2021. "Quantile estimation of stochastic frontiers with the normal-exponential specification," European Journal of Operational Research, Elsevier, vol. 295(2), pages 475-483.
- Zangin Zeebari & Kristofer Månsson & Pär Sjölander & Magnus Söderberg, 2023.
"Regularized conditional estimators of unit inefficiency in stochastic frontier analysis, with application to electricity distribution market,"
Journal of Productivity Analysis, Springer, vol. 59(1), pages 79-97, February.
- Zeebari, Zangin & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2021. "Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market," Ratio Working Papers 345, The Ratio Institute.
- Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
- Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
- Galina Besstremyannaya, 2015. "Heterogeneous effect of residency matching and prospective payment on labor returns and hospital scale economies," Discussion Papers 15-001, Stanford Institute for Economic Policy Research.
- António Afonso & Ana Patricia Montes & José M. Domínguez, 2024.
"Measuring Tax Burden Efficiency in OECD Countries: An International Comparison,"
CESifo Working Paper Series
11333, CESifo.
- António Afonso & Ana Patricia Montes Caparrós & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD countries: an International Comparison," Working Papers REM 2024/0339, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
- Noel Uri, 2003. "The Effect of Incentive Regulation in Telecommunications in the United States," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(2), pages 169-191, May.
- Badunenko, Oleg & Galeotti, Marzio & Hunt, Lester C., 2021.
"Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a Stochastic Environmental Kuznets Frontier,"
FEEM Working Papers
316226, Fondazione Eni Enrico Mattei (FEEM).
- Oleg Badunenko & Marzio Galeotti & Lester C. Hunt, 2021. "Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a Stochastic Environmental Kuznets Frontier," Working Papers 2021.28, Fondazione Eni Enrico Mattei.
- Duygun, Meryem & Prior, Diego & Shaban, Mohamed & Tortosa-Ausina, Emili, 2016.
"Disentangling the European airlines efficiency puzzle: A network data envelopment analysis approach,"
Omega, Elsevier, vol. 60(C), pages 2-14.
- Meryem Duygun & Diego Prior & Mohamed Shaban & Emili Tortosa-Ausina, 2015. "Disentangling the European Airlines efficiency puzzle:A network data envelopment analysis approach," Working Papers 2015/04, Economics Department, Universitat Jaume I, Castellón (Spain).
- Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
- Raul Moragues & Juan Aparicio & Miriam Esteve, 2023. "Ranking the Importance of Variables in a Nonparametric Frontier Analysis Using Unsupervised Machine Learning Techniques," Mathematics, MDPI, vol. 11(11), pages 1-24, June.
- Ahn, Heinz & Clermont, Marcel & Langner, Julia, 2023. "Comparative performance analysis of frontier-based efficiency measurement methods – A Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 307(1), pages 294-312.
- Chunping Liu & Audrey Laporte & Brian S. Ferguson, 2008.
"The quantile regression approach to efficiency measurement: insights from Monte Carlo simulations,"
Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1073-1087, September.
- ChunpingLiu & Audrey Laporte & Brian Ferguson, 2007. "The Quantile Regression Approach to Efficiency Measurement: Insights from Monte Carlo Simulations," Health, Econometrics and Data Group (HEDG) Working Papers 07/14, HEDG, c/o Department of Economics, University of York.
More about this item
Keywords
Research and Development/Tech Change/Emerging Technologies; Livestock Production/Industries;NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2021-11-15 (Agricultural Economics)
- NEP-EFF-2021-11-15 (Efficiency and Productivity)
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:ags:iaae21:315196. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.