住宿市场中房东弹性供给的价值——以Airbnb为例

Zihan Wang, Baoying Zhang
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引用次数: 0

摘要

在过去十年中,共享经济对住宿行业产生了深远的影响。最广为人知的是Airbnb,它允许客户随时分享闲置的房产,只要他们愿意接受现行的租金。利用从airbnb收集的数据,我们探讨了边际效应和政策对收入的影响,并估计了旅行者对平台上房源属性的需求偏好。运用logistic回归、梯度提升和支持向量机预测房东的行为,计算房东的激励费用。我们的研究结果表明,旅行者更喜欢中等评价的房源,特别是那些入住率高、商务类型和方便预订的房源。如果要求提供更灵活的时间,房东的预期收入应该保证工作日每晚至少254,周末每晚至少260。
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The Value of Landlord's Flexible Supply in Accommodation Market: The Case of Airbnb
The sharing economy had a profound impact on the accommodation industry in the past decade. Most widely known is Airbnb which allows its clients sharing their idle properties anytime they are willing to accept prevailing rental prices. Using the data collected from Airbnb.com, we explore the marginal effects and the polices effects on revenue and we estimate the traveler's demand preference for listings attributes on platform. We calculate the incentive fees by predicting landlords’ behavior with logistic regression, gradient boosting and SVM. Our results indicate that moderately rated listings are more preferred by travelers, especially those which are high occupancy rate, business type and convenient to book. If required to supply more flexible time on home sharing, landlords’ expected revenue should be guaranteed at least 254 per night on weekday and 260 per night on weekend.
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