The Effect of Pricing on Cancelations at a High-End U.S. Hotel

Hotels that offer flexible cancelation terms often witness a high number of canceled bookings. A common assumption in the hotel industry is that cancelations are driven by random and exogenous factors beyond customers’ control. However, in transaction data obtained from a high-end U.S. hotel partner, we find that the cancelation rate increases substantially with the booking price. This points to the possibility that the booking price can be an important driver for cancelations. To investigate this relationship, we employ a hazard model and find empirical support. Specifically, a $50 increase in the booking price results in a 16% increase in the hazard of a cancelation. This finding is robust to several alternative model specifications, different subsets of the data, and an alternative operationalization of the booking price. Combining the reservation data with price data from competing hotels nearby, we test for customers’ continued price search after booking as a potential mechanism and show that it mediates 27% of the total effect of booking price on the hazard of a cancelation. Driven by this empirical evidence, we conduct a counterfactual analysis and find that the hotel may lose as much as 11% in revenue during high season by ignoring the effect of pricing on cancelation.

Authors

Institutions

Publication Details

Journal
Cornell Hospitality Quarterly
Published
2026-06-28
DOI
https://doi.org/10.1177/19389655261455346
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effect of Pricing on Cancelations at a High-End U.S. Hotel

Gloria Urrea, Dan Zhang, Xiao Huang
Cornell Hospitality Quarterly
Supply Chain and Inventory Management
article

The Effect of Pricing on Cancelations at a High-End U.S. Hotel

Gloria Urrea, Dan Zhang, Xiao Huang
article en

Abstract

Hotels that offer flexible cancelation terms often witness a high number of canceled bookings. A common assumption in the hotel industry is that cancelations are driven by random and exogenous factors beyond customers’ control. However, in transaction data obtained from a high-end U.S. hotel partner, we find that the cancelation rate increases substantially with the booking price. This points to the possibility that the booking price can be an important driver for cancelations. To investigate this relationship, we employ a hazard model and find empirical support. Specifically, a $50 increase in the booking price results in a 16% increase in the hazard of a cancelation. This finding is robust to several alternative model specifications, different subsets of the data, and an alternative operationalization of the booking price. Combining the reservation data with price data from competing hotels nearby, we test for customers’ continued price search after booking as a potential mechanism and show that it mediates 27% of the total effect of booking price on the hazard of a cancelation. Driven by this empirical evidence, we conduct a counterfactual analysis and find that the hotel may lose as much as 11% in revenue during high season by ignoring the effect of pricing on cancelation.

Cornell Hospitality Quarterly
University of Colorado Boulder (US), Concordia University (CA)
Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Supply Chain and Inventory Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.