Choice-Based Dynamic Pricing for Vacation Rentals

References

• Anderson CK, Xie X (2016) Dynamic pricing in hospitality: Overview and opportunities. Internat. J. Revenue Management 9(2–3):165–174.Google Scholar
• Coretjens ML, Gautschi DA (1983) Formal choice models in marketing. Marketing Sci. 2(1):19–56.Link, Google Scholar
• Elmaghraby W, Keskinocak P (2003) Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions. Management Sci. 49(10):1287–1309.Link, Google Scholar
• Gallego G, Ratliff RM, Shebalov S (2015) A general attraction model and sales-based linear program for network revenue management under customer choice. Oper. Res. 63(1):212–232.Link, Google Scholar
• Garrow LA, Koppelman FS (2004) Multinomial and nested logit models of airline passengers’ no-show and standby behaviour. J. Revenue Pricing Management 3:237–253.Google Scholar
• Gibbs C, Guttentag D, Gretzel U, Morton J, Goodwill A (2018) Pricing in the sharing economy: A hedonic pricing model applied to Airbnb listings. J. Travel Tourism Marketing 35(1):46–56.Google Scholar
• Kwok L, Xie KL (2019) Pricing strategies on Airbnb: Are multi-unit hosts revenue pros? Internat. J. Hospitality Management 82:252–259.Google Scholar
• Magno F, Cassia F, Ugolini MM (2018) Accommodation prices on Airbnb: Effects of host experience and market demand. TQM J. 30(5):608–620.Google Scholar
• McFadden DL (1973) Conditional logit analysis of qualitative choice behavior. Zarembka P, ed. Frontiers in Econometrics (Academic Press, New York), 105–142.Google Scholar
• Orkin EB (1988) Boosting your bottom line with yield management. Cornell Hospitality Quart. 28(4):52–56.Google Scholar
• Talluri KT, van Ryzin GJ (2004) The Theory and Practice of Revenue Management (Springer Science and Business Media, Inc., Boston).Google Scholar
• Ye P, Qian J, Chen J, Chen-Hung W, Zhou Y, De Mars S, Yang F, Zhang L (2018) Customized regression model for Airbnb dynamic pricing. Guo Y, Farooq F, eds. Proc. 24th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 932–940.Google Scholar