Abstract

http://ssrn.com/abstract=1518748
 
 

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Testing Theories of Scarcity Pricing in the Airline Industry


Steven L. Puller


Texas A&M University

Anirban Sengupta


Analysis Group, Inc.

Steven N. Wiggins


Texas A&M University

December 2009

NBER Working Paper No. w15555

Abstract:     
This paper investigates why passengers pay substantially different fares for travel on the same airline between the same two airports. We investigate questions that are fundamentally different from those in the existing literature on airline price dispersion. We use a unique new dataset to test between two broad classes of theories regarding airline pricing. The first group of theories, as advanced by Dana (1999b) and Gale and Holmes (1993), postulates that airlines practice scarcity based pricing and predicts that variation in ticket prices is driven by differences between high demand and low demand periods. The second group of theories is that airlines practice price discrimination by using ticketing restrictions to segment customers by willingness to pay. We use a unique dataset, a census of ticket transactions from one of the major computer reservation systems, to study the relationships between fares, ticket characteristics, and flight load factors. The central advantage of our dataset is that it contains variables not previously available that permit a test of these theories. We find only mixed support for the scarcity pricing theories. Flights during high demand periods have slightly higher fares but exhibit no more fare dispersion than flights where demand is low. Moreover, the fraction of discounted advance purchase seats is only slightly higher on off-peak flights. However, ticket characteristics that are associated with second-degree price discrimination drive much of the variation in ticket pricing.

Number of Pages in PDF File: 51

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Date posted: December 8, 2009  

Suggested Citation

Puller, Steven L. and Sengupta, Anirban and Wiggins, Steven N., Testing Theories of Scarcity Pricing in the Airline Industry (December 2009). NBER Working Paper No. w15555. Available at SSRN: http://ssrn.com/abstract=1518748

Contact Information

Steven L. Puller (Contact Author)
Texas A&M University (TAMU) ( email )
College Station, TX 77843
United States
Anirban Sengupta
Analysis Group, Inc. ( email )
Boston
United States
Steven N. Wiggins
Texas A&M University (TAMU) ( email )
College Station, TX 77843
United States
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