[en] Measuring the degree of competition in markets is important for setting competition and regulatory policies as well as developing management strategies. Commonly used structural indices, such as the HHI, overlook the way in which firms compete and, hence, set their prices in markets. We propose a family of horizontal differentiation measures, which encapsulates firms’ portfolio of products as well as the degree of overlap and substitution between competing services. We term this family of measures Schedule Differentiation Metric or SDM. Applied to aviation markets, we illustrate one instance of SDM and demonstrate the significant importance of SDM in explaining price levels and structure. The information captured by SDM also explains fares across fare percentiles depending on the competing airlines’ business models.
Precision for document type :
Review article
Disciplines :
Production, distribution & supply chain management
Author, co-author :
MANTIN, Binyamin ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Economics and Management (DEM) > LCL
Gillen, David ; Sauder School of Business, University of British Columbia, Vancouver, Canada
Delibasi, Tuba Toru; NERA Economic Consulting, London, United Kingdom
External co-authors :
yes
Language :
English
Title :
Measuring the impact of scheduling overlap and market structure on prices: Evidence from the airline industry
Publication date :
May 2024
Journal title :
Transportation Research. Part A, Policy and Practice
We are indebted to Tom Ross for their helpful comments and suggestions. We thank the seminar participants at the Indian Institute for Management 2022, Southern Economic Association 2021 Conference, CRESSE 2018 conference, ATARD 2018 workshop, TSTE Conference 2018 Beijing-Jiaotong University and Bristol IO Workshop 2017. We are also indebted to two anonymous referees for suggestions that greatly improved the paper.
Anderson, S.P., Renault, R., Pricing, product diversity, and search costs: a Bertrand-Chamberlin-Diamond model. Rand J. Econ., 1999, 719–735.
Anderson, S.P., De Palma, A., Nesterov, Y., Oligopolistic competition and the optimal provision of products. Econometrica, 1995, 1281–1301.
Armantier, O., Richard, O., Domestic airline alliances and consumer welfare. Rand J. Econ. 39:3 (2008), 875–904.
Behrens, C., Leijsen, M. 2015. Measuring Competition Intensity; An Application to Air/HSR Transport Markets (No. 15-075/VIII). Tinbergen Institute Discussion Paper.
Belobaba, P., The airline planning process. Belobaba, P., Odoni, A., Barnhart, C., (eds.) 2009. The Global Airline Industry, 2009, John Wiley & Sons, 153–181.
Bloom, N., Schankerman, M., Van Reenen, J., Identifying technological spillovers and product market rivalry. Econometrica 81:4 (2013), 1347–1393.
Boone, J., A new way to measure competition. Econ. J. 118:531 (2008), 1245–1261.
Boone, J., van der Wiel, H., van Ours, J., 2007. How (not) to Measure Competition, CPB Discussion Paper 91, CPB Netherlands Bureau for Economic Policy Analysis.
Borenstein, S., Netz, J., Why do all the flights leave at 8 am?: Competition and departure-time differentiation in airline markets. Int. J. Ind Organiz 17:5 (1999), 611–640.
Borenstein, S., Rose, N.L., Competition and price dispersion in the US airline industry. J. Polit. Econ. 102:4 (1994), 653–683.
Brueckner, J.K., Luo, D., Measuring strategic firm interaction in product-quality choices: the case of airline flight frequency. Econ. Transp. 3:1 (2014), 102–115.
Caves, D., Christensen, L., Tretheway, M., Economies of density versus economies of scale: why trunk and local service airline costs differ. RAND J. Econ. 15:4 (1984), 471–489.
Church, J., Ware, R., Industrial Organization: A Strategic Approach. 2000, R.D. Irwin, Toronto.
Cowling, K., Waterson, M., Price–cost margins and industry structure. Econ. J. 43:171 (1976), 267–274.
de Palma, A., Criado, C.O., Randrianarisoa, L., When hotelling meets vickrey: service timing and spatial asymmetry in the airline industry. J. Urban Econ. 105 (2018), 88–106.
Dixit, A., A model of duopoly suggesting a theory of entry barriers. Bell J. Econ. 10:1 (1979), 20–32.
Douglas, G., Miller, J. III, Economic Regulation of Domestic Air Transport: Theory and Policy. 1974, Brookings Institution.
Evans, W.N., Froeb, L.M., Werden, G.J., Endogeneity in the concentration-price relationship: causes, consequences, and cures. J. Ind. Econ. 61:4 (1993), 431–438.
Forbes, S.J., Lederman, M., Adaptation and vertical integration in the airline industry. Am. Econ. Rev. 99:5 (2009), 1831–1849.
Gerardi, K.S., Shapiro, A.H., Does competition reduce price discrimination? New evidence from the airline industry. J. Polit. Econ. 117:1 (2009), 1–37.
Gillen, D., Hasheminia, H., Jiang, C., Strategic considerations behind the network-regional airline tie ups – a theoretical and empirical study. Transp. Res. B: Methodol. 72 (2015), 93–111.
Givoni, M., Rietveld, P., The environmental implications of airlines' choice of aircraft size. J. Air Transp. Manag. 16:3 (2010), 159–167.
Granot, D., Granot, F., Raviv, T., On competitive sequential location in a network with a decreasing demand intensity. Eur. J. Oper. Res. 205:2 (2010), 301–312.
Hannan, T.H., Market share inequality, the number of competitors and the HHI: an examination of bank pricing. Rev. Ind. Organ. 12:1 (1997), 23–35.
Hausman, J., Leonard, G., Zona, J.D., A proposed method for analyzing competition among differentiated products. Antitrust Law J. 60 (1992), 889–900.
Hausman, J., Leonard, G., Zona, J.D., Competitive analysis with differentiated products. Ann. Econ. Statist., 1994, 159–180.
Ivaldi, M., Sokullu, S., Toru, T., 2015. Airport Prices in a Two-Sided Market Setting: Major US Airports (June 2015). CEPR Discussion Paper No. DP10658. Available at SSRN: http://ssrn.com/abstract=2619233.
Klophaus, R., Conrady, R., Fichert, F., Low cost carriers going hybrid: evidence from Europe. J. Air Transp. Manag. 23 (2012), 54–58.
Lijesen, M., Adjusting the Herfindahl index for close substitutes: an application to pricing in civil aviation. Transp. Res. E: Logist. Transp. Rev. 40:2 (2004), 123–134.
Martín, J.C., Román, C., Espino, R., Willingness to pay for airline service quality. Transp. Rev. 28:2 (2008), 199–217.
McElroy, M.B., Goodness of fit for seemingly unrelated regressions: Glahn's R2y, x and Hooper's R∼2. J. Econ. 6:3 (1977), 381–387.
OECD, 2014. Airline Competition –Note by Egypt– DAF/COMP/WD(2014)32, Directorate for Financial and Enterprise Affairs Competition Committee.
Peeters, P., Rietveld, P., Schipper, Y., Deregulation in Europe aviation and the evolution of hub-and-spoke networks: impacts on the environment. Atzema, O.A.L.C., Rietveld, P., Shefer, D., (eds.) 2005. Regions, Land Consumption and Sustainable Growth: Assessing the Impact of the Public and Private Sectors, 2005, 137–153.
Pesaran, M.H., Smith, R.J., A generalized R2 criterion for regression models estimated by the instrumental variables’ method. Econometrica, 1994, 705–710.
Richard, O., Flight frequency and mergers in airline markets. Int. J. Ind. Organiz. 21:6 (2003), 907–922.
Tirole, J., The Theory of Industrial Organization. 1988, MIT Press, Cambridge.
Wei, W., Hansen, M., Cost economies of aircraft size. J. Transp. Econ. Policy 37:Part 2 (May) (2003), 279–296.
Wei, W., Hansen, M., Impact of aircraft size and seat availability on airlines’ demand and market share in duopoly markets. Transp. Res. E: Logist. Transp. Rev. 41:4 (2005), 315–327.
Wei, W., Hansen, M., An aggregate demand model for air passenger traffic in the hub-and-spoke network. Transp. Res. A 40:10 (2006), 841–851.