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University of Florida
Levin College of Law

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Monday, June 18, 2012

Dynamic Pricing, Advance Sales, and Aggregate Demand Learning in Airlines

Posted by D. Daniel Sokol

Diego Escobari, The University of Texas - Pan American Dynamic Pricing, Advance Sales, and Aggregate Demand Learning in Airlines.

ABSTRACT: This paper uses a unique U.S. airlines panel data set to empirically study the dynamic pricing of inventories with uncertain demand over a finite horizon. I estimate a dynamic pricing equation and a dynamic demand equation that jointly characterize the adjustment process between prices and sales as the flight date nears. I find that the price increases as the inventory decreases, and decreases as there is less time to sell. Consistent with aggregate demand learning and price adjustment, demand shocks have a positive and much larger effect on prices than the positive effect of anticipated sales.

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