Can we explain airport performance? A case study of selected New York airports using a stochastic frontier model

Tony Diana

Journal of Air Transport Management, 2010, vol. 16, issue 6, 310-314

Abstract: This paper uses stochastic frontier models to assess whether technical efficiency at Newark Liberty International, New York John F. Kennedy International, and New York LaGuardia airports improved from June to August 2008 compared with the summers of 2000 and 2007. An airport is efficient if it can handle operations on-time by minimizing overall demand and maximizing available airport capacity. Granger-causality tests determined the factors that may cause changes in key components and indicators of airport performance. Compared with the other airports, JFK experienced the greatest improvement in technical efficiency. The Granger-causality tests stressed the significance of airport operations and en route factors in supporting efficiency.

Keywords: Airport benchmarking; New York Airports; Stochastic frontiers; DEA analysis (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:16:y:2010:i:6:p:310-314

DOI: 10.1016/j.jairtraman.2010.03.006

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