Title

Do I Book at Exactly the Right Time? Airfare Forecast Accuracy Across Three Price-Prediction Platforms

Document Type

Article

Publication Date

4-30-2019

Publication Title

Journal of Revenue and Pricing Management

First page number:

1

Last page number:

10

Abstract

Customers are uncertain about the best time to get the lowest airfares due to the practice of dynamic pricing in revenue management. Even with the help of price-prediction platforms, the optimal time to buy the lowest-priced airfare remains unclear. This study compares airfare forecasts across the prediction outcomes suggested by Hopper, KAYAK, and FareHack. The data were recorded daily over a 77-day period, focusing on ten one-way route airfares during this time. The results show that, despite the importance of accurate forecasting, there is no best website for the optimal recommendation—prediction accuracy varies based on the number of days before the departure date.

Keywords

Forecast; Airfare; Prediction; Hopper; FareHack; KAYAK

Disciplines

Business Analytics | Technology and Innovation | Tourism and Travel

Language

English

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