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Analysis of prices of accommodation establishments in Kiev: determinants, dynamics and parity

Author

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  • Stanislav Ivanov
  • Kateryna Piddubna

Abstract

The paper analyses the determinants of prices of 150 accommodation establishments in Kiev, their price dynamics and rate parity across three distribution channels. Six hedonic pricing models are developed with data for a weekend and a weekday check-in date from hotels' websites, Booking.com and Expedia.com. Location, category, Booking.com rating, chain affiliation, air-conditioning, conference rooms, number of rooms, F%B outlets and number of days before check-in have significant impacts on prices, while parking and swimming pool are not good predictors of prices. Central hotels, 5-star hotels, chain affiliated properties, those with over 100 rooms and with Booking.com rating above 8.0 have larger and positive percentage change in their prices than non-central, low category, independent, small and mid-sized properties with low customer rating. We find lack of rate parity across the distribution channels - prices on accommodation establishments' websites were lower than on the OTAs' websites. Managerial implications, limitations and directions for future research are also discussed.

Suggested Citation

  • Stanislav Ivanov & Kateryna Piddubna, 2016. "Analysis of prices of accommodation establishments in Kiev: determinants, dynamics and parity," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 9(4), pages 221-251.
    • Handle: RePEc:ids:ijrevm:v:9:y:2016:i:4:p:221-251
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    Cited by:

    1. Wasfi Alrawabdeh, 2022. "Seasonal balancing of revenue and demand in hotel industry: the case of Dubai City," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 36-49, February.
    2. Aldric Vives & Marta Jacob & Marga Payeras, 2018. "Revenue management and price optimization techniques in the hotel sector," Tourism Economics, , vol. 24(6), pages 720-752, September.

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