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Julio del Corral

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. del Corral, J. & Pérez, J.A. & Roibás, D., 2010. "The impact of land fragmentation on milk production," Efficiency Series Papers 2010/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Kristina Holmström & Anna Hessle & Hans Andersson & Karl-Ivar Kumm, 2018. "Merging Small Scattered Pastures into Large Pasture-Forest Mosaics Can Improve Profitability in Swedish Suckler-Based Beef Production," Land, MDPI, vol. 7(2), pages 1-14, May.
    2. Laure Latruffe & Laurent Piet, 2013. "Does land fragmentation affect farm performance? A case study from Brittany, France," Working Papers SMART 13-04, INRAE UMR SMART.
    3. Latruffe, Laure & Piet, Laurent, 2013. "Does land fragmentation affect farm performance? A case study from Brittany," Working papers 152081, Factor Markets, Centre for European Policy Studies.
    4. Cécile Sibra & Gilles Brunschwig, 2021. "Generic Relationships between Field Uses and Their Geographical Characteristics in Mountain-Area Dairy Cattle Farms," Agriculture, MDPI, vol. 11(10), pages 1-14, September.
    5. Laure Latruffe & Laurent Piet, 2013. "Does land fragmentation affect farm performance?," Working Papers hal-01208858, HAL.
    6. Laure Latruffe & Laurent Piet, 2012. "Does land fragmentation affect farm performance?A french Breton case study," Post-Print hal-01208907, HAL.
    7. Álvarez, Inmaculada C. & Orea, Luis & Perez-Mendez, Jose A., 2019. "Rural and agricultural development by land consolidation: a spatial production analysis of Asturias´ parishes," Efficiency Series Papers 2019/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Finneran, E. & Crosson, p., 2013. "Effects of scale, intensity and farm structure on the income efficiency of Irish beef farms," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 2(4), pages 1-12, July.
    9. Sauer, J. & Davidova, S. & Gorton, M., 2013. "Land Fragmentation and Market Integration- Heterogenous Technologies in Kosovo," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    10. Singh, Shiv Raj & Datta, K.K., 2013. "Future of Smallholders in the Indian Dairy Sector – Some Anecdotal Evidence," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 68(2), pages 1-13.
    11. Orea, Luis & Pérez, Jose A. & Roibás, David, 2013. "Evaluating the double effect of land fragmentation on technology choice and dairy farm productivity: A latent class model approach," Efficiency Series Papers 2013/08, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    12. Niskanen, Olli & Heikkilä, Anna-Maija, 2015. "The Impact of Parcel Structure on the Efficiency of Finnish Dairy Farms," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-13, April.
    13. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land Fragmentation, Market Integration and Farm Efficiency: Empirical Evidence from Kosovo," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123236, Agricultural and Applied Economics Association.
    14. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Heterogeneous Technologies as an Answer to Market and Price Risk: The Case of Kosovo," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122509, European Association of Agricultural Economists.
    15. Roibás, David & Wall, Alan & Pérez, José A., 2014. "The influence of meteorological conditions on dairy production," Efficiency Series Papers 2014/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    16. Tracy Bradfield & Robert Butler & Emma Dillon & Thia Hennessy & Paul Kilgarriff, 2021. "The Effect of Land Fragmentation on the Technical Inefficiency of Dairy Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 486-499, June.
    17. Hengzhou Xu & Yihang Zhao & Ronghui Tan & Hongchun Yin, 2017. "Does the Policy of Rural Land Rights Confirmation Promote the Transfer of Farmland in China?," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 67(4), pages 643-672, December.
    18. Alvarez, Antonio & Arias, Carlos, 2015. "Effects of switching between production systems in dairy farming," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(1), pages 1-16, April.

  2. Cabrera, Victor E. & Solis, Daniel & del Corral, Julio, 2010. "The Effect of Traditional Practices in the Efficiency of Dairy Farms in Wisconsin," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 55373, Southern Agricultural Economics Association.

    Cited by:

    1. Mbehoma, Petermus M. & Mutasa, Felician, 2013. "Determinants of Technical Efficiency of Smallholders Dairy Farmers in Njombe District, Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 1(2), July.

  3. del Corral, Julio & Alvarez, Antonio & Tauer, Loren W., 2009. "Detecting Technological Heterogeneity in New York Dairy Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49293, Agricultural and Applied Economics Association.

    Cited by:

    1. Bahta, S. & Temoso, O. & Mekonnen, D. & Malope, P. & Staal, S., 2018. "Technical efficiency of beef production in agricultural districts of Botswana: A Latent Class Stochastic Frontier Model Approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277207, International Association of Agricultural Economists.
    2. Sauer, J. & Morrison-Paul, C., 2011. "Technologies and Localized Technical Change," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    3. Vidoli, Francesco & Pignataro, Giacomo & Benedetti, Roberto, 2022. "Identification of spatial regimes of the production function of Italian hospitals through spatially constrained cluster-wise regression," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    4. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France [Modélisation de technologies hétérogènes e," Post-Print hal-03516608, HAL.
    5. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2018. "Are farms in less favored areas less efficient?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 3-12, January.
    6. Vladimír Kostlivý & Zuzana Fuksová & Tamara Rudinskaya, 2020. "Drivers of farm performance in Czech crop farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(7), pages 297-306.
    7. Heesun, Jang & Xiaodong, Du, 2014. "Spatiotemporal Analysis of Dairy Farm Productivity, Size, and Entry-Exit in the US," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169824, Agricultural and Applied Economics Association.
    8. Marta Arbelo-Pérez & Pilar Pérez-Gómez & Antonio Arbelo, 2023. "Profit efficiency and its determinants in the agricultural sector: A Bayesian approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(11), pages 436-445.
    9. 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.
    10. K Hervé Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2021. "Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms [Modélisation des classes latentes pour une évaluation robuste de la productivité : App," Post-Print hal-03280138, HAL.
    11. Habtamu ALEM, 2017. "Source Of Total Factor Productivity Change: An Empirical Analysis Of Grain Producing Regions In Norway," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(6), pages 8-18, December.
    12. Martinez Cillero, Maria & Breen, James & Thorne, Fiona & Wallace, Michael & Hennessy, Thia, 2016. "Technical efficiency and technology heterogeneity of beef farms: a latent class stochastic frontier approach," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236351, Agricultural Economics Society.
    13. Massimo Filippini & Martin Koller & Urs Trinkner, 2010. "Do opening hours and unobserved heterogeneity affect economies of scale and scope in postal outlets?," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1007, USI Università della Svizzera italiana.
    14. Zoltán Bakucs & Imre Fertő & Enikő Vígh, 2020. "Crop Productivity and Climatic Conditions: Evidence from Hungary," Agriculture, MDPI, vol. 10(9), pages 1-12, September.
    15. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    16. Sauer, J. & Davidova, S. & Gorton, M., 2013. "Land Fragmentation and Market Integration- Heterogenous Technologies in Kosovo," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 48, March.
    17. Niskanen, Olli & Heikkilä, Anna-Maija, 2015. "The Impact of Parcel Structure on the Efficiency of Finnish Dairy Farms," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-13, April.
    18. Elizabeth Ahikiriza & Jef Meensel & Xavier Gellynck & Ludwig Lauwers, 2021. "Heterogeneity in frontier analysis: does it matter for benchmarking farms?," Journal of Productivity Analysis, Springer, vol. 56(2), pages 69-84, December.
    19. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Land Fragmentation, Market Integration and Farm Efficiency: Empirical Evidence from Kosovo," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 123236, Agricultural and Applied Economics Association.
    20. Johannes Sauer, 2011. "The Empirical Identification of Heterogenous Technologies and Technical Change," Post-Print hal-00768585, HAL.
    21. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    22. John Bailey Jones & Sangeeta Pratap, 2017. "An Estimated Structural Model of Entrepreneurial Behavior," Working Paper 17-7, Federal Reserve Bank of Richmond.
    23. Sauer, Johannes & Davidova, Sophia & Gorton, Matthew, 2012. "Heterogeneous Technologies as an Answer to Market and Price Risk: The Case of Kosovo," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122509, European Association of Agricultural Economists.
    24. Garcia, Luis & Laepple, Doris & Dillon, Emma & Thorne, Fiona, 2020. "The role of hired labor in transient and persistent technical efficiency on Irish dairy farms," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304395, Agricultural and Applied Economics Association.
    25. Fertő, Imre & Baráth, Lajos, 2013. "Heterogenitás és technikai hatékonyság - a magyar specializált szántóföldi növénytermesztő üzemek esete [Heterogeneity and technical efficiency - the case of Hungarys specialized arable crop produc," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 650-669.

  4. Julio del Corral & Juan Prieto-Rodriguez & Rob Simmons, 2008. "The Effect of Incentives on Sabotage: The Case of Spanish Football," IASE Conference Papers 0821, International Association of Sports Economists.

    Cited by:

    1. Filippin, A. & van Ours, J.C., 2012. "Run For Fun : Intrinsic Motivation and Physical Performance," Discussion Paper 2012-020, Tilburg University, Center for Economic Research.
    2. Lee, Yoong Hon & Parinduri, Rasyad, 2013. "Does the Three-Point Rule Make Soccer More Exciting? Evidence from a Regression Discontinuity Design," MPRA Paper 48467, University Library of Munich, Germany.
    3. Cedric Duvinage & Peter-J. Jost, 2019. "The Role of Referees in Professional Sports Contests," Journal of Sports Economics, , vol. 20(8), pages 1014-1050, December.
    4. Simon Dato & Petra Nieken, 2020. "Gender differences in sabotage: the role of uncertainty and beliefs," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 353-391, June.
    5. Peter Dawson, 2014. "Refereeing and infringement of the rules," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 24, pages 401-418, Edward Elgar Publishing.
    6. Verstraeten, Olivier & Baert, Stijn, 2019. "Twelve Eyes See More Than Eight. Referee Bias and the Introduction of Additional Assistant Referees in Soccer," IZA Discussion Papers 12142, Institute of Labor Economics (IZA).
    7. Karol Kempa & Hannes Rusch, 2019. "Dissent, sabotage, and leader behaviour in contests: Evidence from European football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(5), pages 500-514, July.
    8. Hopfensitz, Astrid & Mantilla, Cesar, 2019. "Emotional expressions by sports teams: An analysis of World Cup soccer player portraits," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    9. Loukas Balafoutas & Florian Lindner & Matthias Sutter, 2012. "Sabotage in Tournaments: Evidence from a Natural Experiment," Kyklos, Wiley Blackwell, vol. 65(4), pages 425-441, November.
    10. Giacomo De Luca & Jeroen Schokkaert & Jo Swinnen, 2011. "Cultural Differences, Assimilation and Behavior: Player Nationality and Penalties in Football," LICOS Discussion Papers 29711, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    11. Alasdair Brown & Subhasish M. Chowdhury, 2014. "The Hidden Perils of Affirmative Action: Sabotage in Handicap Contests," University of East Anglia Applied and Financial Economics Working Paper Series 062, School of Economics, University of East Anglia, Norwich, UK..
    12. Spagnolo, Giancarlo & Bloomfield, Matthew & Marvao, Catarina, 2020. "Relative Performance Evaluation, Sabotage and Collusion," CEPR Discussion Papers 15115, C.E.P.R. Discussion Papers.
    13. Subhasish M. Chowdhury & Oliver Gurtler, 2013. "Sabotage in Contests: A Survey," University of East Anglia Applied and Financial Economics Working Paper Series 051, School of Economics, University of East Anglia, Norwich, UK..
    14. Nikiforakis, Nikos & Oechssler, Jörg & Shah, Anwar, 2015. "Managerial bonuses, subordinates’ disobedience, and coercion," Working Papers 0589, University of Heidelberg, Department of Economics.
    15. J. Atsu Amegashie, 2013. "Sabotage in Contests: An Overview," CESifo Working Paper Series 4422, CESifo.
    16. Ryan Dansby & R Todd Jewell, 2014. "A Violent Response to Changing the Rules of the Game: The Case of “The Split” in Scottish Premier League Soccer," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 473-487, September.
    17. Mueller-Langer Frank & Andreoli-Versbach Patrick, 2017. "Leading-Effect, Risk-Taking and Sabotage in Two-Stage Tournaments: Evidence from a Natural Experiment," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(1), pages 1-28, February.
    18. Douglas N. VanDerwerken & Jacek Rothert & Brice M. Nguelifack, 2018. "Does the Threat of Suspension Curb Dangerous Behavior in Soccer? A Case Study From the Premier League," Journal of Sports Economics, , vol. 19(6), pages 759-785, August.
    19. Dato, Simon & Nieken, Petra, 2014. "Gender differences in competition and sabotage," Journal of Economic Behavior & Organization, Elsevier, vol. 100(C), pages 64-80.
    20. Nikiforakis, Nikos & Oechssler, Jörg & Shah, Anwar, 2019. "Managerial bonuses and subordinate mistreatment," European Economic Review, Elsevier, vol. 119(C), pages 509-525.
    21. E. Glenn Dutcher & Regine Oexl & Dmitry Ryvkin & Tim Salmon, 2021. "Competitive versus cooperative incentives in team production with heterogeneous agents," Working Papers 2021-26, Faculty of Economics and Statistics, Universität Innsbruck.
    22. Babatunde Buraimo & Rob Simmons & Marek Maciaszczyk, 2012. "Favoritism And Referee Bias In European Soccer: Evidence From The Spanish League And The Uefa Champions League," Contemporary Economic Policy, Western Economic Association International, vol. 30(3), pages 329-343, July.
    23. Ulrike Holder & Thomas Ehrmann & Arne König, 2022. "Monitoring experts: insights from the introduction of video assistant referee (VAR) in elite football," Journal of Business Economics, Springer, vol. 92(2), pages 285-308, February.
    24. Karol Kempa & Hannes Rusch, 2016. "Misconduct and Leader Behaviour in Contests – New Evidence from European Football," MAGKS Papers on Economics 201629, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    25. Antonio Filippin & Jan C. Ours, 2015. "Positive Assortative Matching: Evidence from Sports Data," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(3), pages 401-421, July.

  5. Álvarez, Antonio & del Corral, Julio & Solís, Daniel & Pérez, José Antonio, 2007. "Does Intensification Help to Improve the Economic Efficiency of Dairy Farms?," Efficiency Series Papers 2007/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Álvarez, Antonio & Arias, Carlos, 2013. "Are dairy farms becoming more intensive? Impact on farm efficiency," Efficiency Series Papers 2013/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    2. Sauer, J. & Morrison-Paul, C., 2011. "Technologies and Localized Technical Change," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    3. del Corral, Julio & Alvarez, Antonio & Tauer, Loren W., 2009. "Detecting Technological Heterogeneity in New York Dairy Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49293, Agricultural and Applied Economics Association.
    4. Martinez Cillero, Maria & Breen, James & Thorne, Fiona & Wallace, Michael & Hennessy, Thia, 2016. "Technical efficiency and technology heterogeneity of beef farms: a latent class stochastic frontier approach," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236351, Agricultural Economics Society.
    5. Dong, Fengxia & Hennessy, David A. & Jensen, Helen H., 2013. "Size, Productivity and Exit Decisions in Dairy Farms," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150339, Agricultural and Applied Economics Association.
    6. Kirchweger, Stefan & Eder, Michael & Kantelhardt, Jochen, 2015. "Modelling the effects of low-input dairy farming using bookkeeping data from Austria," 2015 Conference, August 9-14, 2015, Milan, Italy 212005, International Association of Agricultural Economists.
    7. Jiang, Nan & Sharp, Basil, 2014. "Cost Efficiency of Dairy Farming in New Zealand: A Stochastic Frontier Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 43(3), pages 1-13, December.
    8. Orea, Luis & Pérez, Jose A. & Roibás, David, 2013. "Evaluating the double effect of land fragmentation on technology choice and dairy farm productivity: A latent class model approach," Efficiency Series Papers 2013/08, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. del Corral, J., 2009. "Studying the Impact of Managerial Activities on the Technical Efficiency of Wisconsin Dairy Farm," Efficiency Series Papers 2009/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. del Corral, J. & Pérez, J.A. & Roibás, D., 2010. "The impact of land fragmentation on milk production," Efficiency Series Papers 2010/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    11. Johannes Sauer, 2011. "The Empirical Identification of Heterogenous Technologies and Technical Change," Post-Print hal-00768585, HAL.
    12. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
    13. Alvarez, Antonio & Arias, Carlos, 2015. "Effects of switching between production systems in dairy farming," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(1), pages 1-16, April.
    14. Casasnovas, Valero L. & Aldanondo, Ana Maria, 2011. "Influence of Animal Feeding on Milk Supply in Navarre," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114316, European Association of Agricultural Economists.

  6. Barros, Carlos & del Corral, Julio & García-del-Barrio, Pedro, 2007. "Identification of Segments of Soccer Clubs in the Spanish League First Division with a Latent Class Model," Efficiency Series Papers 2007/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Francisco González-Gómez & Andrés J. Picazo-Tadeo, 2010. "Can We Be Satisfied With Our Football Team? Evidence From Spanish Professional Football," Journal of Sports Economics, , vol. 11(4), pages 418-442, August.
    2. Fiona Carmichael & Dennis Thomas, 2014. "Team performance: production and efficiency in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 10, pages 143-165, Edward Elgar Publishing.
    3. Kostas Kounetas, 2014. "Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 623-645, December.
    4. R. Todd Jewell, 2017. "Technical efficiency with multi-output, heterogeneous production: a latent class, distance function model of english football," Journal of Productivity Analysis, Springer, vol. 48(1), pages 37-50, August.
    5. Carlos Pestana Barros & Nicolas Peypoch & Scott Tainsky, 2014. "Cost efficiency of French soccer league teams," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 781-789, March.
    6. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    7. Rohde, Marc & Breuer, Christoph, 2018. "Competing by investments or efficiency? Exploring financial and sporting efficiency of club ownership structures in European football," Sport Management Review, Elsevier, vol. 21(5), pages 563-581.
    8. Nicolas Scelles & Michel Desbordes & Christophe Durand, 2011. "Marketing in sport leagues: optimising the product design. Intra-championship competitive intensity in French football "Ligue 1" and basketball "Pro A"," Post-Print halshs-02110756, HAL.
    9. Young Hoon Lee, 2009. "Identification of Segments of Soccer Clubs in the Spanish League First Division with a Latent Class Model Comments," Journal of Sports Economics, , vol. 10(6), pages 651-659, December.
    10. David Procházka, 2012. "Financial Conditions and Transparency of the Czech Professional Football Clubs," Prague Economic Papers, Prague University of Economics and Business, vol. 2012(4), pages 504-521.
    11. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    12. Carlos Pestana Barros & Eduardo Couto & Antonio Samagaio, 2014. "Management ability, strategy, tactics and team performance," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 11, pages 166-188, Edward Elgar Publishing.
    13. Francisco Rejón-Guardia & María Antonia García-Sastre & Margarita Alemany-Hormaeche, 2018. "Motivation-based behaviour and latent class segmentation of cycling tourists," Tourism Economics, , vol. 24(2), pages 204-217, March.
    14. Fiona Carmichael & Giambattista Rossi & Denis Thomas, 2017. "Production, Efficiency, and Corruption in Italian Serie A Football," Journal of Sports Economics, , vol. 18(1), pages 34-57, January.
    15. Carlos Pestana Barros & Albert Assaf & Fabio Sá-Earp, 2010. "Brazilian Football League Technical Efficiency: A Simar and Wilson Approach," Journal of Sports Economics, , vol. 11(6), pages 641-651, December.
    16. Marcén, Miriam, 2014. "The impact of the Bosman ruling on the market for native soccer players," MPRA Paper 61013, University Library of Munich, Germany.
    17. Barros, Carlos Pestana & Assaf, A.George & de Araujo, Ari Francisco, 2011. "Cost performance of Brazilian soccer clubs: A Bayesian varying efficiency distribution model," Economic Modelling, Elsevier, vol. 28(6), pages 2730-2735.
    18. Jardin, Mathieu, 2009. "Efficiency of French football clubs and its dynamics," MPRA Paper 19828, University Library of Munich, Germany.
    19. Miriam Marcén, 2016. "The Bosman ruling and the presence of native football players in their home league: the Spanish case," European Journal of Law and Economics, Springer, vol. 42(2), pages 209-235, October.
    20. Carlos Barros & Pedro Garcia-del-Barrio, 2011. "Productivity drivers and market dynamics in the Spanish first division football league," Journal of Productivity Analysis, Springer, vol. 35(1), pages 5-13, February.

  7. Álvarez, Antonio & del Corral, Julio, 2006. "Separating Catch-up and Technical Change in Stochastic Frontier Models. A Monte Carlo Approach," Efficiency Series Papers 2006/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.

Articles

  1. Carlos Gomez-Gonzalez & Julio del Corral & R. Todd Jewell & Jorge García-Unanue & Cornel Nesseler, 2019. "A Prospective Analysis of Competitive Balance Levels in Major League Soccer," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(1), pages 175-190, February.

    Cited by:

    1. Qi Ge & Brad R. Humphreys & Alexander Eisert, 2022. "Vertical Integration and Competitive Balance in Professional Sports: Evidence from Minor League Baseball," Working Papers 22-07, Department of Economics, West Virginia University.
    2. Dirk Semmelroth & Bernd Frick & Robert Simmons & Hojun Sung, 2022. "Where to Go Next? Examining the Effect of Franchise Expansion and Location on Game-Level Attendance in Major League Soccer," Journal of Sports Economics, , vol. 23(5), pages 524-547, June.
    3. Francisco Triguero‐Ruiz & Antonio Avila‐Cano, 2023. "On competitive balance in the group stage of the UEFA Champions League," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(3), pages 231-248, July.
    4. Hojun Sung & Brian M. Mills & Younghoon Lee, 2022. "Moments of Competitive Balance in Major League Soccer," Journal of Sports Economics, , vol. 23(3), pages 329-354, April.

  2. Carlos Gomez-Gonzalez & Julio del Corral, 2018. "The betting market over time: overround and surebets in European football," Economics and Business Letters, Oviedo University Press, vol. 7(4), pages 129-136.

    Cited by:

    1. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.

  3. Julio del Corral & Andrés Maroto & Andrés Gallardo, 2017. "Are Former Professional Athletes and Native Better Coaches? Evidence From Spanish Basketball," Journal of Sports Economics, , vol. 18(7), pages 698-719, October.

    Cited by:

    1. Fabíola Zambom-Ferraresi & Belén Iráizoz & Fernando Lera-López, 2019. "Are football managers as efficient as coaches? Performance analysis with and inputs in the Premier league," Applied Economics, Taylor & Francis Journals, vol. 51(3), pages 303-314, January.
    2. R. Todd Jewell, 2017. "Technical efficiency with multi-output, heterogeneous production: a latent class, distance function model of english football," Journal of Productivity Analysis, Springer, vol. 48(1), pages 37-50, August.
    3. David Boto‐García & Carlos Varela‐Quintana & Alvaro Muñiz, 2023. "Foreign players, team production, and technical efficiency: Evidence from European soccer," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1209-1241, October.
    4. Luigi Buzzacchi & Federico Caviggioli & Francesco Luigi Milone & Davide Scotti, 2021. "Impact and Efficiency Ranking of Football Managers in the Italian Serie A: Sport and Financial Performance," Journal of Sports Economics, , vol. 22(7), pages 744-776, October.
    5. Anna Bykova & Dennis Coates, 2020. "Does Experience Matter? Salary Dispersion, Coaching, And Team Performance," Contemporary Economic Policy, Western Economic Association International, vol. 38(1), pages 188-205, January.
    6. Dennis Coates & Petr Parshakov & Sofia Paklina, 2020. "Do Managers Matter: Evidence From E‐Sports," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 304-312, April.
    7. Carlos Gomez-Gonzalez & Helmut Dietl & Cornel Nesseler, 2019. "Does performance justify the underrepresentation of women coaches? Evidence from professional women’s soccer," Sport Management Review, Taylor & Francis Journals, vol. 22(5), pages 640-651, December.

  4. Solis, Daniel & del Corral, Julio & Perruso, Lawrence & Agar, Juan J., 2015. "Individual fishing quotas and fishing capacity in the US Gulf of Mexico red snapper fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.

    Cited by:

    1. Juan J. Agar & Jessica A. Stephen & Andy Strelcheck & Assane Diagne, 2014. "The Gulf of Mexico Red Snapper IFQ Program: The First Five Years," Marine Resource Economics, University of Chicago Press, vol. 29(2), pages 177-198.
    2. Juan Agar & William C. Horrace & Christopher F. Parmeter, 2022. "Overcapacity in Gulf of Mexico reef fish IFQ fisheries: 12 years after the adoption of IFQs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 483-506, June.
    3. Solís, Daniel & Agar, Juan J. & del Corral, Julio, 2015. "IFQs and total factor productivity changes: The case of the Gulf of Mexico red snapper fishery," Marine Policy, Elsevier, vol. 62(C), pages 347-357.
    4. Solis, Daniel & Agar, Juan & del Corral, Julio, 2015. "The impact of IFQs on the productivity of the US Gulf of Mexico Red Snapper Fishery," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196639, Southern Agricultural Economics Association.

  5. Solís, Daniel & Agar, Juan J. & del Corral, Julio, 2015. "IFQs and total factor productivity changes: The case of the Gulf of Mexico red snapper fishery," Marine Policy, Elsevier, vol. 62(C), pages 347-357.

    Cited by:

    1. Juan Agar & William C. Horrace & Christopher F. Parmeter, 2022. "Overcapacity in Gulf of Mexico reef fish IFQ fisheries: 12 years after the adoption of IFQs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 483-506, June.
    2. Alvarez, Antonio & Couce, Lorena & Trujillo, Lourdes, 2019. "Does Specialization Affect the Efficiency of Small-Scale Fishing Boats?," Efficiency Series Papers 2019/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

  6. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.

    Cited by:

    1. Moor, Jordan & Asche, Frank & Ropicki, Andrew J., 2023. "Renewable resource market responses under rights-based management: linkages in Gulf of Mexico fisheries," 2023 Annual Meeting, July 23-25, Washington D.C. 335749, Agricultural and Applied Economics Association.
    2. Solis, Daniel & del Corral, Julio & Perruso, Lawrence & Agar, Juan J., 2015. "Individual fishing quotas and fishing capacity in the US Gulf of Mexico red snapper fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
    3. Sami Dakhlia & Akbar Marvasti, 2020. "Regulatory Change, Market Structure, and Fatalities: The Case of the Gulf of Mexico Reef Fish Fishery," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(1), pages 1-26, August.
    4. Juan Agar & William C. Horrace & Christopher F. Parmeter, 2022. "Overcapacity in Gulf of Mexico reef fish IFQ fisheries: 12 years after the adoption of IFQs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 483-506, June.
    5. Solís, Daniel & Agar, Juan J. & del Corral, Julio, 2015. "IFQs and total factor productivity changes: The case of the Gulf of Mexico red snapper fishery," Marine Policy, Elsevier, vol. 62(C), pages 347-357.
    6. Alvarez, Antonio & Couce, Lorena & Trujillo, Lourdes, 2019. "Does Specialization Affect the Efficiency of Small-Scale Fishing Boats?," Efficiency Series Papers 2019/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    7. Solis, Daniel & Agar, Juan & del Corral, Julio, 2015. "The impact of IFQs on the productivity of the US Gulf of Mexico Red Snapper Fishery," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196639, Southern Agricultural Economics Association.
    8. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.
    9. Sami Dakhlia & Akbar Marvasti, 2022. "Did tradable quota rights really affect fleet size? The case of the Gulf of Mexico reef‐fish fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(3), pages 668-689, July.
    10. Susaeta, Andres & Sancewich, Brian & Adams, Damian & Moreno, Paulo C., 2019. "Ecosystem Services Production Efficiency of Longleaf Pine Under Changing Weather Conditions," Ecological Economics, Elsevier, vol. 156(C), pages 24-34.

  7. Daniel Solís & Larry Perruso & Julio del Corral & Brent Stoffle & David Letson, 2013. "Measuring the initial economic effects of hurricanes on commercial fish production: the US Gulf of Mexico grouper (Serranidae) fishery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 271-289, March.

    Cited by:

    1. Shinn-Lih Yeh & Hans-Uwe Dahms & Ying-Jer Chiu & Su-Jung Chang & Yi-Kuang Wang, 2017. "Increased Production and Water Remediation by Land-Based Farm-Scale Sequentially Integrated Multi-Trophic Aquaculture Systems—An Example from Southern Taiwan," Sustainability, MDPI, vol. 9(12), pages 1-13, November.
    2. Solis, Daniel & del Corral, Julio & Perruso, Lawrence & Agar, Juan J., 2015. "Individual fishing quotas and fishing capacity in the US Gulf of Mexico red snapper fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
    3. Solís, Daniel & Agar, Juan J. & del Corral, Julio, 2015. "IFQs and total factor productivity changes: The case of the Gulf of Mexico red snapper fishery," Marine Policy, Elsevier, vol. 62(C), pages 347-357.
    4. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.
    5. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
    6. Tengjiao Guo & Guosheng Li, 2020. "Study on methods to identify the impact factors of economic losses due to typhoon storm surge based on confirmatory factor analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 515-534, January.
    7. Alvarez, Sergio & Solís, Daniel & Hwang, Joonghyun, 2019. "Modeling shellfish harvest policies for food safety: Wild oyster harvest restrictions to prevent foodborne Vibrio vulnificus," Food Policy, Elsevier, vol. 83(C), pages 219-230.

  8. Alvarez, Antonio & del Corral, Julio & Tauer, Loren W., 2012. "Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-11, December.
    See citations under working paper version above.
  9. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.

    Cited by:

    1. Blackburn McKinley L., 2013. "Ranking the performance of tennis players: an application to women’s professional tennis," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(4), pages 367-378, December.
    2. Kovalchik Stephanie Ann, 2016. "Searching for the GOAT of tennis win prediction," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(3), pages 127-138, September.
    3. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico & Johnson, Johnnie E.V., 2018. "It takes all sorts: A heterogeneous agent explanation for prediction market mispricing," European Journal of Operational Research, Elsevier, vol. 270(2), pages 556-569.
    4. Alberto Arcagni & Vincenzo Candila & Rosanna Grassi, 2023. "A new model for predicting the winner in tennis based on the eigenvector centrality," Annals of Operations Research, Springer, vol. 325(1), pages 615-632, June.
    5. Fagan Francois & Haugh Martin & Cooper Hal, 2019. "The advantage of lefties in one-on-one sports," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(1), pages 1-25, March.
    6. Tomi Ovaska & Albert J. Sumell, 2014. "Who Has The Advantage? An Economic Exploration of Winning in Men's Professional Tennis," The American Economist, Sage Publications, vol. 59(1), pages 34-51, May.
    7. Vincenzo Candila & Lucio Palazzo, 2020. "Neural Networks and Betting Strategies for Tennis," Risks, MDPI, vol. 8(3), pages 1-19, June.
    8. Sylvain Béal & Eric Rémila & Philippe Solal & Sylvain Ferrières, 2016. "An axiomatization of the iterated h-index and applications to sport rankings," Working Papers hal-01394818, HAL.
    9. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.
    10. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630.
    11. Angelini, Giovanni & Candila, Vincenzo & De Angelis, Luca, 2022. "Weighted Elo rating for tennis match predictions," European Journal of Operational Research, Elsevier, vol. 297(1), pages 120-132.
    12. He, Xue-Zhong & Treich, Nicolas, 2017. "Prediction market prices under risk aversion and heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 105-114.
    13. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630, April.
    14. Ramirez, Philip & Reade, J. James & Singleton, Carl, 2023. "Betting on a buzz: Mispricing and inefficiency in online sportsbooks," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1413-1423.
    15. Kovalchik, Stephanie & Reid, Machar, 2019. "A calibration method with dynamic updates for within-match forecasting of wins in tennis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 756-766.
    16. Irons David J. & Buckley Stephen & Paulden Tim, 2014. "Developing an improved tennis ranking system," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 1-10, June.
    17. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.

  10. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(2), pages 231-250, June.

    Cited by:

    1. Levi, Loïc & Latruffe, Laure & Ridier, Aude, 2019. "Farm performance and investment decisions: evidence from the French (Brittany) dairy sector," Working Papers 285033, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    2. Álvarez, Antonio & Arias, Carlos, 2013. "Are dairy farms becoming more intensive? Impact on farm efficiency," Efficiency Series Papers 2013/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    3. Sauer, J. & Morrison-Paul, C., 2011. "Technologies and Localized Technical Change," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    4. Iordanis Parikoglou & Grigorios Emvalomatis & Fiona Thorne, 2022. "Precision livestock agriculture and productive efficiency: The case of milk recording in Ireland," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 109-120, November.
    5. Christian Grovermann & Sylvain Quiédeville & Adrian Muller & Florian Leiber & Matthias Stolze & Simon Moakes, 2021. "Does organic certification make economic sense for dairy farmers in Europe?–A latent class counterfactual analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 1001-1012, November.
    6. Mercedes Beltrán-Esteve & José A. Gómez-Limón & Andrés J. Picazo-Tadeo & Ernest Reig-Martínez, 2012. "A metafrontier directional distance function approach to assessing eco-efficiency," Working Papers 1206, Department of Applied Economics II, Universidad de Valencia.
    7. A. Tonini, 2012. "A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries," Economic Change and Restructuring, Springer, vol. 45(4), pages 247-269, November.
    8. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.
    9. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France [Modélisation de technologies hétérogènes e," Post-Print hal-03516608, HAL.
    10. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    11. Adamides, George, 2020. "Heuristic Evaluation of the User Interface for a Semi-Autonomous Agricultural Robot Sprayer," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    12. Llorca, Manuel & Rodriguez-Alvarez, Ana & Jamasb, Tooraj, 2020. "Objective vs. subjective fuel poverty and self-assessed health," Energy Economics, Elsevier, vol. 87(C).
    13. Mohamed Chaffai & Patrick Plane, 2017. "Firm Productivity, Technology and Export Status, What Can We Learn from Egyptian Industries?," Working Papers 1134, Economic Research Forum, revised 09 Jun 2017.
    14. Gatti, Nicolas & Lema, Daniel & Brescia, Victor, 2015. "A Meta-Frontier Approach to Measuring Technical Efficiency and Technology Gaps in Beef Cattle Production in Argentina," 2015 Conference, August 9-14, 2015, Milan, Italy 211647, International Association of Agricultural Economists.
    15. Dakpo, Hervé K & Jeanneaux, Philippe & Latruffe, Laure, 2014. "Inclusion of undesirable outputs in production technology modeling: The case of greenhouse gas emissions in French meat sheep farming," Working Papers 207806, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    16. del Corral, Julio & Alvarez, Antonio & Tauer, Loren W., 2009. "Detecting Technological Heterogeneity in New York Dairy Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49293, Agricultural and Applied Economics Association.
    17. Ibe, Rebecca & Rahji, Mohammed & Adeoti, Adetola & Adenegan, Kemisola, 2020. "Household Demand for Fruits and Vegetables in Rural and Urban South-Western Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    18. Thuy, Phan Thi & Niem, Le Duc & Lebailly, Philippe, 2020. "Recent Evolution of Perennial Crop Farms: Evidence from Dak Lak Province, Vietnam," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    19. Lajos Baráth & Imre Fertő & Heinrich Hockmann, 2020. "Technological Differences, Theoretical Consistency, and Technical Efficiency: The Case of Hungarian Crop-Producing Farms," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    20. Letort, Elodie & Dupraz, P, 2023. "Animal feed as a lever to reduce methane emissions: a micro-econometric approach applied to French dairy farms," Working Papers 338908, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    21. Lukas Cechura & Aaron Grau & Heinrich Hockmann & Inna Levkovych & Zdenka Kroupova, 2017. "Catching Up or Falling Behind in European Agriculture: The Case of Milk Production," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 206-227, February.
    22. Žáková Kroupová, Zdeňka & Hálová, Pavlína & Rumánková, Lenka, 2020. "Productivity of Czech Milk Production in European Comparison," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    23. Laure Latruffe & Andreas Niedermayr & Yann Desjeux & K Herve Dakpo & Kassoum Ayouba & Lena Schaller & Jochen Kantelhardt & Yan Jin & Kevin Kilcline & Mary Ryan & Cathal O’Donoghue, 2023. "Identifying and assessing intensive and extensive technologies in European dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1482-1519.
    24. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2011. "Technical efficiency and technology gaps in beef cattle production systems in Kenya: A stochastic metafrontier analysis," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108947, Agricultural Economics Society.
    25. Kellermann, Magnus & Salhofer, Klaus, 2011. "Comparing productivity growth in conventional and grassland dairy farms," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114763, European Association of Agricultural Economists.
    26. Amer Ait Sidhoum & K Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    27. Lajos Barath & Imre Ferto, 2016. "Productivity and Convergence in European Agriculture," CERS-IE WORKING PAPERS 1626, Institute of Economics, Centre for Economic and Regional Studies.
    28. 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.
    29. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    30. Sille, AG & Salvioni, C. & Benedetti, R., 2015. "Spatial Heterogeneity in Production Functions Models," 2015 Conference, August 9-14, 2015, Milan, Italy 211343, International Association of Agricultural Economists.
    31. K Hervé Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2021. "Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms [Modélisation des classes latentes pour une évaluation robuste de la productivité : App," Post-Print hal-03280138, HAL.
    32. Areal, Francisco J & Tiffin, Richard & Balcombe, Kelvin, 2010. "Provision of an environmental output within a multi-output distance function approach," MPRA Paper 25051, University Library of Munich, Germany.
    33. Martinez Cillero, Maria & Breen, James & Thorne, Fiona & Wallace, Michael & Hennessy, Thia, 2016. "Technical efficiency and technology heterogeneity of beef farms: a latent class stochastic frontier approach," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236351, Agricultural Economics Society.
    34. Kirchweger, Stefan & Eder, Michael & Kantelhardt, Jochen, 2015. "Modelling the effects of low-input dairy farming using bookkeeping data from Austria," 2015 Conference, August 9-14, 2015, Milan, Italy 212005, International Association of Agricultural Economists.
    35. Kartal, Serkan & Choudhary, Sunita & Stočes, Michal & Šimek, Pavel & Vokoun, Tomáš & Novák, Vojtěch, 2020. "Segmentation of Bean-Plants Using Clustering Algorithms," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    36. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    37. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    38. Žáková Kroupová, Zdeňka & Hálová, Pavlína & Rumánková, Lenka, 2020. "Productivity of Czech Milk Production in European Comparison," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(3), September.
    39. Zohra Bouamra & Vincent Chatellier & Angela Cheptea & K Hervé Dakpo & Yann Desjeux & Sabine Duvaleix-Treguer & Carl Gaigné & Marilyne Huchet & Philippe Jeanneaux & Karine Latouche & Laure Latruffe, 2018. "La compétitivité des filières animales françaises," Working Papers hal-02439979, HAL.
    40. Yann, de Mey & Mark, Vancauteren & Frankwin, van Winsen & Erwin, Wauters & Ludwig, Lauwers & Steven, Van Passel, 2013. "Measuring productivity change using alternative input–output concepts: A farm level application using FADN data," 2013: Productivity and Its Impacts on Global Trade, June 2-4, 2013. Seville, Spain 152364, International Agricultural Trade Research Consortium.
    41. Ioannis Skevas, 2019. "A Hierarchical Stochastic Frontier Model for Efficiency Measurement Under Technology Heterogeneity," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 513-524, September.
    42. Lajos Baráth & Imre Fertő & Štefan Bojnec, 2020. "The Effect of Investment, LFA and Agri‐environmental Subsidies on the Components of Total Factor Productivity: The Case of Slovenian Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 853-876, September.
    43. Piotr Borawski & Adam Pawlewicz & Bartosz Mickiewicz & Katarzyna Pawlewicz & Aneta Bełdycka-Borawska & Lisa Holden & Agnieszka Brelik, 2020. "Economic Sustainability of Dairy Farms in the EU," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 955-978.
    44. Tohidi, Amirhossein & Ghorbani, Mohammad & Karbasi, Ali-Reza & Asgharpourmasouleh, Ahmadreza & Hassani-Mahmooei, Behrooz, 2020. "Comparison of Fuzzy Multi-Criteria Decision-Making Methods to Rank Business Strategies and Marketing Resources," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    45. Orea, Luis & Pérez, Jose A. & Roibás, David, 2013. "Evaluating the double effect of land fragmentation on technology choice and dairy farm productivity: A latent class model approach," Efficiency Series Papers 2013/08, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    46. Alvarez, Antonio & del Corral, Julio & Tauer, Loren W., 2012. "Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(3), pages 275-285, December.
    47. Juan Aparicio & Magdalena Kapelko & Lidia Ortiz, 2021. "Modelling environmental inefficiency under a quota system," Operational Research, Springer, vol. 21(2), pages 1097-1124, June.
    48. Pánková, Ludmila & Aulová, Renata & Jarolímek, Jan, 2020. "Economic Aspects of Precision Agriculture Systems," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    49. Elizabeth Ahikiriza & Jef Meensel & Xavier Gellynck & Ludwig Lauwers, 2021. "Heterogeneity in frontier analysis: does it matter for benchmarking farms?," Journal of Productivity Analysis, Springer, vol. 56(2), pages 69-84, December.
    50. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 3-25.
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    55. Adamides, George, 2020. "Heuristic Evaluation of the User Interface for a Semi-Autonomous Agricultural Robot Sprayer," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
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    58. Concetta Castiglione & Davide Infante & Marta Zieba, 2018. "Technical efficiency in the Italian performing arts companies," Small Business Economics, Springer, vol. 51(3), pages 609-638, October.
    59. Martini, Bruno Guilherme & Helfer, Gilson Augusto & Barbosa, Jorge Luis Victória & Modolo, Regina Célia Espinosa & da Silva, Marcio Rosa & de Figueiredo, Rodrigo Marques, 2020. "Prediction and Context Awareness in Agriculture: A Systematic Mapping," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    60. Exenberger, Emil & Bucko, Jozef, 2020. "Analysis of Online Consumer Behavior - Design of CRISP-DM Process Model," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(3), September.
    61. Johannes Sauer & Catherine J. Morrison Paul, 2013. "The empirical identification of heterogeneous technologies and technical change," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1461-1479, April.
    62. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
    63. Baráth, Lajos & Ferto, Imre, 2012. "Estimating technical efficiency under technological heterogeneity in Hungarian crop sector," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134961, Agricultural Economics Society.
    64. Prokopchuk, Olena & Prokopchuk, Ihor & Mentel, Grzegorz & Bilan, Yuriy, 2020. "Parametric Insurance as Innovative Development Factor of the Agricultural Sector of Economy," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 12(3), September.
    65. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.
    66. Amer Ait Sidhoum & Philipp Mennig & Johannes Sauer, 2023. "Do agri-environment measures help improve environmental and economic efficiency? Evidence from Bavarian dairy farmers," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(3), pages 918-953.
    67. Alvarez, Antonio & Arias, Carlos, 2015. "Effects of switching between production systems in dairy farming," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 4(1), pages 1-16, April.
    68. Garcia, Luis & Laepple, Doris & Dillon, Emma & Thorne, Fiona, 2020. "The role of hired labor in transient and persistent technical efficiency on Irish dairy farms," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304395, Agricultural and Applied Economics Association.
    69. Miguel Angel Orduño Torres & Zein Kallas & Selene Ivette Ornelas Herrera & Bouali Guesmi, 2019. "Is Technical Efficiency Affected by Farmers’ Preference for Mitigation and Adaptation Actions against Climate Change? A Case Study in Northwest Mexico," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    70. Fertő, Imre & Baráth, Lajos, 2013. "Heterogenitás és technikai hatékonyság - a magyar specializált szántóföldi növénytermesztő üzemek esete [Heterogeneity and technical efficiency - the case of Hungarys specialized arable crop produc," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 650-669.
    71. Travis A. Smith & Craig E. Landry, 2021. "Household Food Waste and Inefficiencies in Food Production," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 4-21, January.
    72. Asif Reza Anik & Sanzidur Rahman & Jaba Rani Sarker, 2020. "Five Decades of Productivity and Efficiency Changes in World Agriculture (1969–2013)," Agriculture, MDPI, vol. 10(6), pages 1-20, June.

  11. Julio del Corral, 2009. "Competitive Balance and Match Uncertainty in Grand-Slam Tennis," Journal of Sports Economics, , vol. 10(6), pages 563-581, December.

    Cited by:

    1. Jeroen Schokkaert & Johan Swinnen, 2016. "Uncertainty of Outcome Is Higher in the Champions League Than in the European Cup," Journal of Sports Economics, , vol. 17(2), pages 115-147, February.
    2. Dominik Schreyer & Benno Torgler, 2018. "On the Role of Race Outcome Uncertainty in the TV Demand for Formula 1 Grands Prix," Journal of Sports Economics, , vol. 19(2), pages 211-229, February.
    3. Alex Krumer & Mosi Rosenboim & Offer Moshe Shapir, 2016. "Gender, Competitiveness, and Physical Characteristics," Journal of Sports Economics, , vol. 17(3), pages 234-259, April.
    4. Tomi Ovaska & Albert J. Sumell, 2014. "Who Has The Advantage? An Economic Exploration of Winning in Men's Professional Tennis," The American Economist, Sage Publications, vol. 59(1), pages 34-51, May.
    5. Linn-Brit Bakkenbüll & Stephanie Kiefer, 2015. "Are Attractive Female Tennis Players More Successful? An Empirical Analysis," Kyklos, Wiley Blackwell, vol. 68(4), pages 443-458, November.
    6. Yixiong Cui & Miguel-Ángel Gómez & Bruno Gonçalves & Jaime Sampaio, 2018. "Performance profiles of professional female tennis players in grand slams," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
    7. Kurt Rotthoff & Danielle Zanzalari & John Jasina, 2011. "What are the odds? A measure of the small sample problems," Applied Economics Letters, Taylor & Francis Journals, vol. 18(12), pages 1139-1143.
    8. L'aszl'o Csat'o & D'ora Gr'eta Petr'oczy, 2020. "Bibliometric indices as a measure of performance and competitive balance in the knockout stage of the UEFA Champions League," Papers 2005.13416, arXiv.org, revised Sep 2023.
    9. Alexander John Bond & Francesco Addesa, 2020. "Competitive Intensity, Fans’ Expectations, and Match-Day Tickets Sold in the Italian Football Serie A, 2012-2015," Journal of Sports Economics, , vol. 21(1), pages 20-43, January.
    10. Budzinski, Oliver & Feddersen, Arne, 2019. "Measuring competitive balance in Formula One Racing," Ilmenau Economics Discussion Papers 121, Ilmenau University of Technology, Institute of Economics.
    11. Kovalchik Stephanie Ann, 2014. "The older they rise the younger they fall: age and performance trends in men’s professional tennis from 1991 to 2012," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 1-9, June.
    12. Bakkenbüll, Linn-Brit, 2016. "Does attractiveness win? On the gender-specific impact of attractiveness on athletic performance in tennis," Discussion Papers of the Institute for Organisational Economics 01/2016, University of Münster, Institute for Organisational Economics.
    13. Lackner, Mario & Weichselbaumer, Michael, 2023. "Can barely winning lead to losing? Gender and past performance," Journal of Economic Behavior & Organization, Elsevier, vol. 208(C), pages 258-274.
    14. Helmut Dietl & Cornel Nesseler, 2017. "Momentum in tennis: Controlling the match," Working Papers 365, University of Zurich, Department of Business Administration (IBW).
    15. Bakkenbüll, Linn-Brit & Kiefer, Stephanie, 2014. "Are attractive female tennis players more successful? An empirical analysis," Discussion Papers of the Institute for Organisational Economics 12/2014, University of Münster, Institute for Organisational Economics.

  12. Carlos P. Barros & Julio del Corral & Pedro García-del-Barrio, 2009. "Reply to Comment on ‘‘Identification of Segments of Soccer Clubs in the Spanish League First Division with a Latent Class Model’’," Journal of Sports Economics, , vol. 10(6), pages 660-666, December.

    Cited by:

    1. David Boto‐García & Carlos Varela‐Quintana & Alvaro Muñiz, 2023. "Foreign players, team production, and technical efficiency: Evidence from European soccer," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1209-1241, October.

  13. Carlos Pestana Barros & Julio del Corral & Pedro Garcia-del-Barrio, 2008. "Identification of Segments of Soccer Clubs in the Spanish League First Division With a Latent Class Model," Journal of Sports Economics, , vol. 9(5), pages 451-469, October.
    See citations under working paper version above.
  14. Julio Del Corral & Carlos Pestana Barros & Juan Prieto-Rodríguez, 2008. "The Determinants of Soccer Player Substitutions," Journal of Sports Economics, , vol. 9(2), pages 160-172, April.

    Cited by:

    1. Andrés Picazo-Tadeo & Francisco Gónzalez-Gómez & Jorge Guardiola Wanden-Berghe, 2011. "Referee home bias due to social pressure. Evidence from Spanish football," Working Papers 1119, Department of Applied Economics II, Universidad de Valencia.
    2. Silva Rajitha M. & Swartz Tim B., 2016. "Analysis of substitution times in soccer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(3), pages 113-122, September.
    3. Harald Oberhofer & Tassilo Philippovich & Hannes Winner, 2015. "Firm Survival in Professional Sports," Journal of Sports Economics, , vol. 16(1), pages 59-85, January.
    4. Bar, H & Lillard, D, 2010. "A Heap of Trouble? Accounting for Mismatch Bias in Retrospectively Collected Data on Smoking," Health, Econometrics and Data Group (HEDG) Working Papers 10/20, HEDG, c/o Department of Economics, University of York.
    5. Barros, Carlos Pestana & Butler, Richard & Correia, Antónia, 2010. "The length of stay of golf tourism: A survival analysis," Tourism Management, Elsevier, vol. 31(1), pages 13-21.
    6. Myers Bret R., 2012. "A Proposed Decision Rule for the Timing of Soccer Substitutions," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-24, March.
    7. Gong, Bingnan & Zhou, Changjing & Gómez, Miguel-Ángel & Buldú, J.M., 2023. "Identifiability of Chinese football teams: A complex networks approach," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    8. Carlos Pestana Barros & Bernd Frick & Jose Passos, 2009. "Coaching for survival: the hazards of head coach careers in the German 'Bundesliga'," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3303-3311.

  15. Alvarez, Antonio & del Corral, Julio & Perez, Jose Antonio & Solis, Daniel, 2007. "Efecto de la intensificacion sobre la eficiencia de las explotaciones lecheras," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 7(13), pages 1-16.

    Cited by:

    1. Agüeros Manuel & Casares-Hontañón Pedro & Coto-Millán Pablo & Ángel Pesquera Miguel, 2015. "Technical Efficiency of the Generation of Knowledge in the European Union (2003-2010)," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 27(27), pages 7-16, March.
    2. Daniel Solís & Boris E. Bravo-Ureta & Ricardo E. Quiroga, 2007. "Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 491-510, December.

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