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¿Son las aerolíneas latinoamericanas más ineficientes? Estimaciones con fronteras estocásticas

Author

Listed:
  • Gustavo Ferro
  • Pablo Daniel Monterubbianesi

Abstract

Este trabajo se propone responder las siguientes preguntas: ¿cuál es el nivel medio de eficiencia en el transporte de pasajeros de una muestra de aerolíneas que operan en el Hemisferio Occidental? ¿Cómo se posicionan aerolíneas latinoamericanas puestas en perspectiva con otras de países desarrollados que operan en las Américas? ¿Hay diferencias de eficiencia así definida entre las aerolíneas de la muestra? ¿A qué se deben? Para contestarlas, se emplean técnicas de frontera estocástica. Son novedades a estudios preexistentes el uso de una amplia gama de alternativas de estimación y el estudio específico de las aerolíneas latinoamericanas junto con las norteamericanas. This study aims to answer the following questions: which is the average efficiency level in passenger transportation of an airline sample operating in the Western Hemisphere? How do Latin American airlines perform in comparison with American ones? Are there technical efficiency differences between airlines of the sample? Why? To answer, we employ stochastic frontier methods and we add to precedent studies the usage of an ample set of alternative techniques and the specific consideration to Latin American airlines.

Suggested Citation

  • Gustavo Ferro & Pablo Daniel Monterubbianesi, 2016. "¿Son las aerolíneas latinoamericanas más ineficientes? Estimaciones con fronteras estocásticas," CEMA Working Papers: Serie Documentos de Trabajo. 594, Universidad del CEMA.
    • Handle: RePEc:cem:doctra:594
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    References listed on IDEAS

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    1. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    2. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    3. Boon Lee & Andrew Worthington, 2011. "Operational performance of low-cost carriers and international airlines: New evidence using a bootstrap truncated regression," School of Economics and Finance Discussion Papers and Working Papers Series 271, School of Economics and Finance, Queensland University of Technology.
    4. Park, B. U. & Sickles, R. C. & Simar, L., 1998. "Stochastic panel frontiers: A semiparametric approach," Journal of Econometrics, Elsevier, vol. 84(2), pages 273-301, June.
    5. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    6. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    7. 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.
    8. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    9. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    10. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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    More about this item

    Keywords

    stochastic frontiers; airlines; efficiency;
    All these keywords.

    JEL classification:

    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

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