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The one-shot nature of most theoretical models of strategic investment, especially those based on asymmetric information, limits our ability to test whether they can fit the data. We develop a dynamic version of the classic Milgrom and Roberts (1982) model of limit pricing, where a monopolist incumbent has incentives to repeatedly signal information about its costs to a potential entrant by setting prices below monopoly levels. The model has a unique Markov Perfect Bayesian Equilibrium under a standard form of refinement, and equilibrium strategies can be computed easily, making it well suited for empirical work. We provide reduced-form evidence that our model can explain why incumbent airlines cut prices when Southwest becomes a potential entrant into airport-pair route markets, and we also calibrate our model to show that it can generate the large price declines that are observed in the data.

In the last two decades, airline alliances were not only successful in extending the size of their networks, but also received approvals by public authorities to intensify their ooperation through to merger-like revenue-sharing joint ventures (JVs). We empirically investigate the impact of the implementation of such joint ventures on both the respective airlines’ competitive strategies as well as productive efficiency. Using U.S. DOT T100 International Segment data and applying airline-market fixed effects models, we find that joint ventures – compared to services with a lower degree of cooperation – lead to a 3-5 percent increase in capacity between the respective partner airlines’ hub airports; however, this is done at the expense of services elsewhere in the network. Productive efficiency, as measured by load factors, is found to be 0.5-5 percent lower for joint venture routes compared to routes operated under antitrust immunity only. We use our empirical results to discuss implications for the balancing of competition and cooperation in transatlantic airline markets.

Although the aviation industry is increasingly becoming important for Africa's economic development and integration, the ability of airlines to access foreign markets remains hindered by restrictive regulatory policies. Attempts have been made to fully liberalize the intra-African air transport market. Except for general assertions about the merits/demerits of liberalization, our empirical understanding of the welfare effects of such polices in Africa remains rudimentary. This study empirically measures the economic effects of air transport liberalization, mainly on two supply side variables: fare and service quality, measured as departure frequency. The results show up to 40 % increase in departure frequency in routes that experienced some type of liberalization compared to those governed by restrictive bilateral air service agreements. While the effect of liberalization is substantial in improving service quality, there is no evidence of its fare reducing effect.

In recent years the European airline industry has undergone critical restructuring. It has evolved from a highly regulated market predominantly operated by national airlines to a dynamic, liberalized industry where airline firms compete freely on prices, routes, and frequencies. Although several studies have analyzed performance issues for European airlines using a variety of efficiency measurement methods, virtually none of them has considered two-stage alternatives – not only in this particular European context but in the airline industry in general. We extend the aims of previous contributions by considering a network Data Envelopment Analysis (network DEA) approach which comprises two sub-technologies that can share part of the inputs. Results show that, in general, most of the inefficiencies are generated in the first stage of the analysis. However, when considering different types of carriers several differences emerge – most of the low-cost carriers’ inefficiencies are confined to the first stage. Results also show a dynamic component, since performance differed across types of airlines during the decade 2000–2010. We thank the comments and suggestions by the referees and the Editor. Diego Prior and Emili Tortosa-Ausina acknowledge the financial support of Ministerio de Ciencia e Innovación (ECO2013-44115-P and ECO2014-55221-P). Emili Tortosa-Ausina also acknowledges the financial support of Generalitat Valenciana (PROMETEOII/2014/046 and ACOMP/2014/283) and Universitat Jaume I (P1.1B2014-17). The usual disclaimer applies.

We find that congressional influences affect the amount of airport subsidies that a congressional district receives from the Essential Air Service (EAS) program. The EAS program was passed with the goal of helping to continue commercial air service to rural communities following the deregulation of the airline industry. Using subsidy data from 1998-2014, we find strong evidence that subsidies are higher in districts having congressional representation on the House Transportation Committee. Representation on the House Appropriations Committee is also associated with higher subsidies. Our empirical results, combined with news reports, are consistent with the EAS serving private as well as public interests.

The effect of corruption on airport productive efficiency is analyzed using an unbalanced panel data of major European airports from 2003 to 2009. We first compute the residual (or net) variable factor productivity using the multilateral index number method and then apply robust cluster random effects model in order to evaluate the importance of corruption. We find strong evidence that corruption has negative impacts on airport operating efficiency; and the effects depend on the ownership form of the airport. The results suggest that airports under mixed public–private ownership with private majority achieve lower levels of efficiency when located in more corrupt countries. They even operate less efficiently than fully and/or majority government owned airports in high corruption environment. We control for economic regulation, competition level and other airports’ characteristics. Our empirical results survive several robustness checks including different control variables, three alternative corruption measures: International Country Risk Guide (ICRG) corruption index, Corruption Perception Index (CPI) and Control of Corruption Index (CCI). The empirical findings have important policy implications for management and ownership structuring of airports operating in countries that suffer from higher levels of corruption.

We develop a method to measure the intensity of competition between firms. Our method, which we call the Best Response Measure (BRM), is related to the conduct parameter method, but avoids the main problems associated with that method. The BRM relies on a very general framework and limited data requirements. Moreover, we show that it provides valuable information in determining the relevant market. We illustrate how the BRM can be used in markets with imperfect substitutes and apply the method to aviation markets in the North Sea area. This also enables us to establish to what extent the high speed rail link between London and the European mainland affects the supply by air carriers.

This paper analyzes the rationale of airport business models. First, it provides evidence that the airports should be considered as two sided markets because of significant network externalities between the airlines and the passengers. This result invalidates the traditional approach where the airport-airline-passenger relationship is considered as vertically integrated, taking passengers as final consumers. Second, a testing procedure aimed at eliciting the real business model of airports demonstrates that the major U.S. airports do not internalize the externalities existing between airlines and passengers. We find that these airports set profit maximizing prices for the non-aeronautical services to passengers and Ramsey prices for the aeronautical services to airlines. Given these results, we conduct a welfare analysis by simulating the implementation of profit maximizing prices when an airport fully accounts for the two-sidedness of its activities. In particular, we show that the impact on social welfare is not independent on the specific features of each airport and that the privatization of airports cannot be considered as the only solution for airports.

Analysts of air travel markets, which include antitrust authorities, are interested in understanding the extent to which the presence of intermediate stop(s) products influences the pricing of nonstop products. This paper uses a structural econometric model to investigate the potential pricing interdependence between these two product types in domestic air travel markets. Counterfactual experiments using the estimated model suggest that in many (but far from a majority) markets the current prices of nonstop products are at least 5% lower than they would otherwise be owing to the presence of intermediate-stop(s) products.

Most airports operate under public ownership, while some are privatized and economically regulated. Only a few airports are privately owned and experience little or no ex-ante regulation of airport charges. On the other hand, airports nowadays earn as much revenue from transport-related activities as from commercially-oriented business activities. Taken together, these two observations lead to a natural question: How to optimally integrate profits derived from commercial activities into the regulation of airport infrastructure charges? This question is addressed in this paper. We discuss basic issues that are relevant for the design of regulatory regimes for airports and how these issues can be tackled by using airport profits derived from commercial activities for infrastructure cost recovery. The main insights are summarized at the end of each section and then are further summarized in the conclusions section.

Frequent Flier Programs (FFPs) are said to impact airline consumer behaviour such that revenue of sponsoring airlines increases. Prior research relies on aggregate industry data to study FFPs. We examine the impact of FFPs on individual consumer behaviour in a quasi-natural experimental set-up using a combined discrete choice and count data model. We exploit an unanticipated change in the FFP to avoid self-selection bias. We derive the causal effect of redesigning a frequency reward program into a customer tier program on average transaction size, purchase frequency, revenues of the sponsoring airline, and compensating variation. We find that, on average, revenues increased by 8$ per member over a 16 month period. The welfare impact is small but positive. We find that, on average, consumer surplus increased by 5$ per member over a 16 month period. The results vary su bstantially across individuals. In line with previous studies, our results suggest that moderate buyers increase their average transaction size and purchase frequency most due to the introduction of the customer tier program.