In the aftermath of the COVID-19 pandemic, the dynamics of short-term rental demand, particularly on Airbnb, have seen pivotal shifts. Using Madrid as a case study, this research used strategic sampling to investigate changes in occupancy, housing attributes, and online reputation. Leveraging a sup-likelihood ratio test and a hedonic-type pooled panel-data Logit regression, we identified a marked structural break. Findings revealed a diminished demand-side bargaining power, resulting in increased rental prices and reduced information transparency. These results offered critical insights for tourism industry stakeholders, especially destination managers and Airbnb hosts.

中文翻译：

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COVID-19 是否改变了 Airbnb 住宿入住率的因素？马德里作为案例研究

在 COVID-19 大流行之后，短期租赁需求的动态（尤其是 Airbnb 上的需求）发生了关键变化。本研究以马德里为案例研究，使用战略抽样来调查入住率、住房属性和在线声誉的变化。利用超似然比检验和享乐型汇总面板数据 Logit 回归，我们发现了明显的结构断裂。调查结果显示，需求方议价能力减弱，导致租金价格上涨和信息透明度降低。这些结果为旅游业利益相关者，尤其是目的地管理者和 Airbnb 房东提供了重要的见解。