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Empirical Analysis of the Codeshare Effect on Airline Market Competition and Product Quality

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  • KO Ryuya
  • OHASHI Hiroshi

Abstract

This paper examines the economic consequences of code-sharing agreements (CSA) in the airline market. CSA can be viewed as a vertical contract between airlines, which sometimes co-own the code-shared flights. Our structural model aims to understand how and to what extent CSA distorts market competition among airlines. With an application to Japanese domestic airlines, structural estimates of our demand and supply models indicate that CSA would significantly lessen market competition, by sharing increased revenues from raised fares. We further extend our model to consider endogenous product quality. Although the loss of consumer welfare due to CSA is alleviated by enhanced product quality, the anti-competitive effect of CSA is persistent.

Suggested Citation

  • KO Ryuya & OHASHI Hiroshi, 2022. "Empirical Analysis of the Codeshare Effect on Airline Market Competition and Product Quality," Discussion papers 22080, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:22080
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    References listed on IDEAS

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    3. Céline Bonnet & Pierre Dubois, 2010. "Inference on vertical contracts between manufacturers and retailers allowing for nonlinear pricing and resale price maintenance," RAND Journal of Economics, RAND Corporation, vol. 41(1), pages 139-164, March.
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    5. Philip G. Gayle, 2008. "An Empirical Analysis of the Competitive Effects of the Delta/Continental/Northwest Code-Share Alliance," Journal of Law and Economics, University of Chicago Press, vol. 51(4), pages 743-766, November.
    6. Doi, Naoshi & Ohashi, Hiroshi, 2019. "Market structure and product quality: A study of the 2002 Japanese airline merger," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 158-193.
    7. Caixia Shen, 2017. "The effects of major U.S. domestic airline code sharing and profit sharing rule," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(3), pages 590-609, September.
    8. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
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