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The technical efficiency of US Airlines

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  • Barros, Carlos P.
  • Liang, Qi Bin
  • Peypoch, Nicolas

Abstract

This paper applies the B-convex model in order to investigate the technical efficiency of a representative sample of US airlines over the period 1998–2010. The results are mixed and reveal that US airlines’ efficiency can be influenced by the size of the airline, mergers and acquisitions, and by time. Policy implications are derived.

Suggested Citation

  • Barros, Carlos P. & Liang, Qi Bin & Peypoch, Nicolas, 2013. "The technical efficiency of US Airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 139-148.
    • Handle: RePEc:eee:transa:v:50:y:2013:i:c:p:139-148
    DOI: 10.1016/j.tra.2013.01.019
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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    3. Greer, Mark, 2009. "Is it the labor unions' fault? Dissecting the causes of the impaired technical efficiencies of the legacy carriers in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 779-789, November.
    4. R. E. Caves & M. E. Porter, 1977. "From Entry Barriers to Mobility Barriers: Conjectural Decisions and Contrived Deterrence to New Competition," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(2), pages 241-261.
    5. David Good & M. Nadiri & Lars-Hendrik Röller & Robin Sickles, 1993. "Efficiency and productivity growth comparisons of European and U.S. Air carriers: A first look at the data," Journal of Productivity Analysis, Springer, vol. 4(1), pages 115-125, June.
    6. Léopold Simar & Paul W. Wilson, 2011. "Performance of the Bootstrap for DEA Estimators and Iterating the Principle," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 241-271, Springer.
    7. Adler, Nicole & Golany, Boaz, 2001. "Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe," European Journal of Operational Research, Elsevier, vol. 132(2), pages 260-273, July.
    8. Henry Tulkens & Philippe Eeckaut, 2006. "Non-Frontier Measures of Efficiency, Progress and Regress for Time Series Data," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 373-394, Springer.
    9. Tim Coelli & Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2003. "A Primer on Efficiency Measurement for Utilities and Transport Regulators," World Bank Publications - Books, The World Bank Group, number 15149, December.
    10. Barbot, Cristina & Costa, Ã lvaro & Sochirca, Elena, 2008. "Airlines performance in the new market context: A comparative productivity and efficiency analysis," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 270-274.
    11. Dresner, Martin & Windle, Robert & Zhou, Ming, 2002. "Regional jet services: supply and demand," Journal of Air Transport Management, Elsevier, vol. 8(5), pages 267-273.
    12. Ehrlich, Isaac & Georges Gallais-Hamonno & Zhiqiang Liu & Randall Lutter, 1994. "Productivity Growth and Firm Ownership: An Analytical and Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 1006-1038, October.
    13. I. Ehrlich & Georges Gallais-Hamonno & Zh Liu & R. Lutter, 1994. "Productivy Growth & Firm Ownership : an Analytical & Empirical Investigation," Post-Print halshs-00276861, HAL.
    14. Tarun Khanna & Krishna Palepu, 2000. "Is Group Affiliation Profitable in Emerging Markets? An Analysis of Diversified Indian Business Groups," Journal of Finance, American Finance Association, vol. 55(2), pages 867-891, April.
    15. Purvez F. Captain & Robin C. Sickles, 1997. "Competition and market power in the European airline industry: 1976-90," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 18(3), pages 209-225.
    16. Inglada, Vicente & Rey, Belen & Rodri­guez-Alvarez, Ana & Coto-Millan, Pablo, 2006. "Liberalisation and efficiency in international air transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 95-105, February.
    17. Oum, Tae Hoon & Park, Jong-Hun, 1997. "Airline alliances: current status, policy issues, and future directions," Journal of Air Transport Management, Elsevier, vol. 3(3), pages 133-144.
    18. Sjögren, Stefan & Söderberg, Magnus, 2011. "Productivity of airline carriers and its relation to deregulation, privatisation and membership in strategic alliances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 228-237, March.
    19. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    20. Tim Coelli & Sergio Perelman & Elliot Romano, 1999. "Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines," Journal of Productivity Analysis, Springer, vol. 11(3), pages 251-273, June.
    21. Bhadra, Dipasis, 2009. "Race to the bottom or swimming upstream: Performance analysis of US airlines," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 227-235.
    22. Zinan Liu & E. L. Lynk, 1999. "Evidence on market structure of the deregulated US airline industry," Applied Economics, Taylor & Francis Journals, vol. 31(9), pages 1083-1092.
    23. Gregor Andrade & Mark Mitchell & Erik Stafford, 2001. "New Evidence and Perspectives on Mergers," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 103-120, Spring.
    24. Baltagi, Badi H & Griffin, James M & Rich, Daniel P, 1995. "Airline Deregulation: The Cost Pieces of the Puzzle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(1), pages 245-260, February.
    25. Sickles, Robin C. & Good, David & Johnson, Richard L., 1986. "Allocative distortions and the regulatory transition of the U.S. airline industry," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 143-163.
    26. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    27. Dominique Deprins & Léopold Simar & Henry Tulkens, 2006. "Measuring Labor-Efficiency in Post Offices," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 285-309, Springer.
    28. Barros, Carlos Pestana & Peypoch, Nicolas, 2009. "An evaluation of European airlines' operational performance," International Journal of Production Economics, Elsevier, vol. 122(2), pages 525-533, December.
    29. Lai, Sue Ling & Lu, Whei-Li, 2005. "Impact analysis of September 11 on air travel demand in the USA," Journal of Air Transport Management, Elsevier, vol. 11(6), pages 455-458.
    30. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    31. Briec, Walter & Liang, Qi Bin, 2011. "On some semilattice structures for production technologies," European Journal of Operational Research, Elsevier, vol. 215(3), pages 740-749, December.
    32. Alvarez, Roberto & Crespi, Gustavo, 2003. "Determinants of Technical Efficiency in Small Firms," Small Business Economics, Springer, vol. 20(3), pages 233-244, May.
    33. Scheraga, Carl A., 2004. "Operational efficiency versus financial mobility in the global airline industry: a data envelopment and Tobit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 383-404, June.
    34. Good, David H. & Roller, Lars-Hendrik & Sickles, Robin C., 1995. "Airline efficiency differences between Europe and the US: Implications for the pace of EC integration and domestic regulation," European Journal of Operational Research, Elsevier, vol. 80(3), pages 508-518, February.
    35. Merkert, Rico & Hensher, David A., 2011. "The impact of strategic management and fleet planning on airline efficiency - A random effects Tobit model based on DEA efficiency scores," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 686-695, August.
    36. Ouellette, Pierre & Petit, Patrick & Tessier-Parent, Louis-Philippe & Vigeant, Stéphane, 2010. "Introducing regulation in the measurement of efficiency, with an application to the Canadian air carriers industry," European Journal of Operational Research, Elsevier, vol. 200(1), pages 216-226, January.
    37. Veronique Distexhe & Sergio Perelman, 1994. "Technical Efficiency and Productivity Growth in an Era of Deregulation: the Case of Airlines," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(IV), pages 669-689, December.
    38. Pitfield, D.E. & Caves, R.E. & Quddus, M.A., 2010. "Airline strategies for aircraft size and airline frequency with changing demand and competition: A simultaneous-equations approach for traffic on the north Atlantic," Journal of Air Transport Management, Elsevier, vol. 16(3), pages 151-158.
    39. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    40. Greer, Mark R., 2008. "Nothing focuses the mind on productivity quite like the fear of liquidation: Changes in airline productivity in the United States, 2000-2004," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 414-426, February.
    41. Oum, Tae Hoon & Yu, Chunyan, 1995. "A productivity comparison of the world's major airlines," Journal of Air Transport Management, Elsevier, vol. 2(3), pages 181-195.
    42. Douglas W. Caves & Laurits R. Christensen & Michael W. Tretheway, 1984. "Economies of Density versus Economies of Scale: Why Trunk and Local Service Airline Costs Differ," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 471-489, Winter.
    43. Richard P. Rumelt, 1991. "How much does industry matter?," Strategic Management Journal, Wiley Blackwell, vol. 12(3), pages 167-185, March.
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