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Patterns and Effects of Entry in U.S. Airline Markets

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Abstract

We use T-100 traffic data and DB1B fare data from the U.S. Department of Transportation to identify patterns and effects of entry by network carriers and low-cost carriers in non-stop U.S. airline markets. For the sample period from 1996 to 2009, we find that entry activity of low-cost carriers did not only experience significant absolute increases but also led to substantial fare reductions. As route entries by network carriers do not have comparable effects, the existence and expansion of low-cost carriers must be considered as the main driver of competition in the domestic U.S. airline industry.

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Notes

  1. The following carriers are classified as LCCs: Southwest Airlines, AirTran Airways, JetBlue Airways, Allegiant Air, Frontier Airlines, Spirit Airlines, Sun Country Airlines and Virgin America. All other (non-regional) airlines in the T-100 Domestic Segment database were classified as NWCs. The group of NWCs is typically supported by a larger group of regional airlines. Most of those smaller airlines operate in small feeder traffic markets and often assist one particular network carrier in the operation of its hub-and-spoke network. Although most of these regional carriers are legally independent, their economic existence is often tied to a large network carrier. For example, in most instances, regional carriers do not issue their own tickets but refer to the network carrier for all flight bookings. In the empirical analysis of entry patterns and effects of entry, regional airlines are excluded from the analysis.

  2. Although there are good reasons for applying both market delineation concepts—airport-pairs and city-pairs—we follow the more conservative approach of airport-pairs. Every effect found on an airport-pair level is expected to be even more pronounced on a city-pair level. For a detailed discussion of airport-pairs vs. city-pairs, see Brueckner et al. (2010).

  3. Although the focus of this article is on the role of market entry, there is no doubt that market exit can be a closely related phenomenon. For example, entry into one market can demand exit in another market as, e.g., a particular airplane can be operated more efficiently on the new route. Furthermore, any reorganisation of the flight network typically triggers waves of entry and exit. For example, airline mergers often lead to market exits either through the elimination of overlapping parts of both networks or by the decommissioning of entire hubs of one of the merging airlines.

  4. The calculation and interpretation of survival rates offers various degrees of freedom. With respect to calculation, Bamberger and Carlton (2006), for example, decided to count an entry as ‘survived’ if the airline was still active on the respective route one year after entry. Consequently, they find on average higher survival rates than reported in Fig. 2 (based on a ‘two-year’ definition of survival). With respect to interpretation, the general results reported in Fig. 2 could be specified by analysing survival rates for specific carriers or even specific route types of specific carriers (e.g., routes to/from their respective hubs versus other routes).

  5. The number of departures can also be interpreted as a measure of quality as—with a growing number of departures—the traveller has more choices between different travel times over the day and is therefore able to reach a better fit of the transportation needs with the general work (or leisure) schedule.

  6. It is important to remind at this point that our analysis concentrates on the effects of entry in existing markets only. Any study that aims at calculating the entire (consumer) welfare effect of entry, however, has to include the (consumer) welfare created by entry into new markets (i.e., markets which did not have a direct connection prior to the entry of a specific carrier).

  7. In the sample period, on average, 64% of all U.S. domestic passengers travelled in the TOP 500 markets.

  8. The numerical values of the short-term effects of entry for the group of LCCs are summarized in Table 3 in the Appendix.

  9. The numerical values of the short-term effects of entry for the group of NWCs are summarized in Table 3 in the Appendix.

  10. For each carrier, we investigate those markets i in which the carrier actually entered between 1996 and 2009.

  11. The complete regressions are provided in Tables 5 to 12 in the Appendix on an airline-by-airline basis.

  12. The post-deregulation era has seen several attempts by network carriers to launch their own low-cost carriers. For example, Delta founded Delta Express in 1996. The airline operated a hub at Orlando airport and focused particularly on leisure routes. In order to be able to compete on price, Delta Express’ fleet consisted of only one aircraft type with an all coach class configuration. No in-flight entertainment or meal service was offered. Delta Express ceased operations in 2003 and was replaced by Song as the new low-fare brand of Delta. Song, however, ceased operations in 2006 and was reintegrated into its parent company. Comparably unsuccessful launches of low-fare brands were experienced by United (Ted, 2004–2009) and US Airways (MetroJet, 1998–2001). From an analytical perspective, T-100 data does not provide an easy solution to separate between entries of the respective network carrier and entries by its respective low-cost branch as the respective airline codes for both carriers are identical. However, the length and breadth of our data set together with the rather short, rather small and rather unsuccessful low-cost endeavours of the network carriers make it unlikely that they affect our results to a larger degree.

  13. For example, between 2000 and 2009, JetBlue entered 131 domestic markets. On average, 40% of all entries created new routes, with 14% in 2005 and 83% in 2002 delineating the spectrum. However, despite the significance of entry into new markets, in 2009, only 30% of the 20 million JetBlue passengers traveled in new markets while the remaining 70% flew in existing markets.

  14. An example for such an increase in the likelihood of entry could be the announcement of Southwest or JetBlue to include a new airport into their route network. Given the (partly sunk) investments in new airport presence together with the possibilities to exploit network economies makes it very likely that the respective carrier will extent its number of connections from the respective airport.

  15. One example of such fierce competitive interaction was JetBlue and Song (the former low-fare brand of Delta) on flights to Florida (which both carriers picked as key region in their respective entry strategies).

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Acknowledgments

We would like to thank three anonymous referees and the audiences at the 2011 ATRS Annual Conference in Sydney, the 2011 GARS Workshop in Melbourne and seminars in Auckland, Nice and Sydney for very valuable comments and suggestions which substantially improved the article. We are especially indebted to Volodymyr Bilotkach for his advice during the construction of the data set.

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Correspondence to Kai Hüschelrath.

Appendix

Appendix

Tables 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12

Table 3 Average value and percentage changes for yield, passengers, departures, and seats from the quarter before entry (t-1) to the quarter after entry (t + 1)
Table 4 Description and summary statistics of all variables used in fixed effects regressions
Table 5 Fixed effects regressions for Southwest Airlines
Table 6 Fixed effects regressions for JetBlue Airways
Table 7 Fixed effects regressions for AirTran Airways
Table 8 Fixed effects regressions for Spirit Airlines
Table 9 Fixed effects regressions for American Airlines
Table 10 Fixed effects regressions for Delta Air Lines
Table 11 Fixed effects regressions for United Airlines
Table 12 Fixed effects regressions for US Airways

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Hüschelrath, K., Müller, K. Patterns and Effects of Entry in U.S. Airline Markets. J Ind Compet Trade 13, 221–253 (2013). https://doi.org/10.1007/s10842-011-0115-4

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