This paper models and estimates congestion prices and capacity for large hub airports with stochastic queues, time-varying traffic rates, and endogenous intertemporal adjustment of traffic in response to queuing delay and fees. Relative costs of queuing and schedule delays are estimated using data from Minneapolis-St. Paul. Simulations calculate equilibrium traffic patterns, queuing delays, schedule delays, congestion fees, airport revenues, airport capacity, and efficiency gains. The paper also investigates whether a dominant airline internalizes delays its aircraft impose. It tests game-theoretic specifications with atomistic, Nash-dominant, Stackelberg-dominant, and collusive-airline traffic. Copyright 1995 by The Econometric Society.
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Article provided by Econometric Society in its journal Econometrica.
Volume (Year): 63 (1995) Issue (Month): 2 (March) Pages: 327-70 Download reference. The following formats are available: HTML
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Jan K. Brueckner & Erik T. Verhoef, 2009.
"Manipulable Congestion Tolls,"
Working Papers
080915, University of California-Irvine, Department of Economics.
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