Productivity Differences in the Airline Industry: Partial Deregulation versus Short-Run Protection

The paper specifies and estimates a production function for the airline industry, identifying firms' network characteristics and efficiency as the main determinants of their productivity. The application of this analysis to the European market shows that productivity differences among flag carriers could explain the governments' different views about deregulation at the beginning of the eighties. The introduction of liberal bilateral agreements by some European government has given their flag carriers incentives to start adjusting their structure in anticipation of future liberalization in the European market while other European flag carriers have delayed this adjustment.

[1]  J. Richmond Estimating the Efficiency of Production , 1974 .

[2]  William N. Evans,et al.  STRUCTURE, CONDUCT, AND PERFORMANCE IN THE DEREGULATED AIRLINE INDUSTRY. , 1993 .

[3]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[4]  C. Lovell,et al.  On the estimation of technical inefficiency in the stochastic frontier production function model , 1982 .

[5]  P. Schmidt,et al.  Production frontiers with cross-sectional and time-series variation in efficiency levels , 1990 .

[6]  P. Schmidt,et al.  Production Frontiers and Panel Data , 1984 .

[7]  C. Lovell,et al.  A survey of frontier production functions and of their relationship to efficiency measurement , 1980 .

[8]  G. Battese,et al.  Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data , 1988 .

[9]  C. Lovell,et al.  Estimating stochastic production and cost frontiers when technical and allocative inefficiency are correlated , 1980 .

[10]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[11]  David Encaoua,et al.  Liberalizing European airlines: Cost and factor productivity evidence , 1991 .

[12]  Subal C. Kumbhakar,et al.  Production Frontiers and Panel Data: An Application to U.S. Class 1 Railroads , 1987 .

[13]  Robin C. Sickles,et al.  A nonlinear multivariate error components analysis of technology and specific factor productivity growth with an application to the U.S. Airlines , 1985 .

[14]  Pedro L. Marin,et al.  COMPETITION IN EUROPEAN AVIATION: PRICING POLICY AND MARKET STRUCTURE. IN: AIR TRANSPORT , 1995 .

[15]  S. Kumbhakar Production frontiers, panel data, and time-varying technical inefficiency , 1990 .

[16]  D. Aigner,et al.  P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? , 1977 .

[17]  L. R. Christensen,et al.  Economies of Density versus Economies of Scale: Why Trunk and Local Service Airline Costs Differ , 1984 .

[18]  W. Greene On the estimation of a flexible frontier production model , 1980 .