Autori
Guizzardi, Andrea
Ballestra, Luca Vincenzo
D`Innocenzo, Enzo

Titolo
Reverse engineering the last-minute on-line pricing practices: an application to hotels
Periodico
Journal of the Italian statistical society
Anno: 2024 - Volume: 33 - Fascicolo: 3 - Pagina iniziale: 943 - Pagina finale: 971

We suggest a nonlinear time series methodology to model the (last-minute) price adjustments that hotels active in the online market make to adapt their early-booking rates in response to unpredictable fluctuations in demand. We use this approach to reverse-engineer the pricing strategies of six hotels in Milan, Italy, each with different features and services. The results reveal that the hotels’ ability to align last-minute adjustments with early-booking decisions and account for stochastic demand seasonality varies depending on factors such as size, star rating, and brand affiliation. As a primary empirical finding, we show that the autocorrelations of the first four moments of the last-minute price adjustment can be used to gain crucial insights into the hoteliers’ pricing strategies. Scaling up this approach has the potential to equip policymakers in smart destinations with a reliable and transparent tool for the real-time monitoring of demand dynamics.



SICI: 1121-9130(2024)33:3<943:RETLOP>2.0.ZU;2-

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