Host type and pricing on Airbnb: Seasonality and perceived market power

Casamatta, Georges; Giannoni, Sauveur; Brunstein, Daniel; Jouve, Johan

doi:10.1016/j.tourman.2021.104433

Cited by 35 publications

(45 citation statements)

References 34 publications

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“…Despite the positive inclinations and several advantages to the traditional enterprise for providing accommodation of the short stay sector. There's a little bit of negativity on anything really on change but there's a bit of negativity around short stay but I just think it's a very small part of the community and probably just divided by the lack of formal regulation [14].…”

Section: Increased Economic Transformation Local Market and Regulationmentioning

confidence: 99%

Social drivers of short stay market in a regional Australia: A local development perspective

Ndaguba

Brown

Jogulu

2022

Preprint

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Discourse on microentrepreneurs research on short stay accommodation was not in existence before 2008. After 2009, several concepts and constructs were developed and a few till date have been empirically tested, but a majority of those that have been tested relate to economics, leaving the social, cultural, and environmental perspective backward. Thus, this study aims to identify and assess social factors influencing short-stay market economy in a regional area. 16 interview sessions with 18 participants of a face-to-face interview conducted, and the Leximancer software was employed for its analysis. The study shows that the social drivers to SSA are not generic, but pluralistic, multidimensional, and dynamic, and that limiting regulatory clauses to borrowed concepts of limitation or prohibition, the council demonstrates a lack of digital leadership. Despite ample opportunities provided by SSM in regional area, there are few encumbrances that cannot be overlooked.

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Section: Increased Economic Transformation Local Market and Regulationmentioning

confidence: 99%

Social drivers of short stay market in a regional Australia: A local development perspective

Ndaguba

Brown

Jogulu

2022

Preprint

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“…The classification proposed in this study of the Airbnb accommodations of Barcelona allows us to conclude that the main variables affecting their survaivability are those that also define quite well the prices on hedonic models that are generally used to determine the factors defining the prices of this kind of accommodations. (Casamatta et al 2022). In particular, the most touristic neighborhoods and the most densely populated with housing are going to be what suffer the most during non-normal stages.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

Understanding the effects of Covid-19 on P2P hospitality: Comparative classification analysis for Airbnb-Barcelona.

Martínez

Pina

2022

4th International Conference on Advanced Research Methods and Analytics (CARMA 2022)

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The Covid-19 pandemic has produced significant changes in tourism markets around the world. The large amount of data available on the Airbnb platform, one of the world's largest hosting services, makes it an ideal prospecting place to try to find out what the aftermath of this event has been. This paper explores the entire Airbnb housing stock in the city of Barcelona with the aim of identifying the key characteristics of the homes that have remained operational during the 2019-2021 period. We carried out this analysis by using two classification methods, the random forest and logistic regression with elastic net. The objective is to classify the houses that have remained on the platform against those that have not. Finally, we analyze the results obtained and compare both the general performance of the models and the individual information of each variable through partial dependence plots (PDP). We found a better performance of Random Forest over logistic regression, but not significant differences in the relevant variables chosen by each method. It is worth noting the importance of the geographical location, the number of amenities in the home or the price in the survival of the homes.

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“…In addition to those studies, much evidence suggests that, compared to professional hosts, nonprofessional hosts use potentially ineffective pricing systems, including insufficient price adjustments and inadequate responses to well-known demand shocks [3,21] that determine pricing choices for tourist rental accommodations. Researchers have demonstrated that a price differential exists between professional and opportunistic sellers, and seasonality in demand impacts the size and direction of this price differential [22].…”

Section: Price Issues In the Accommodation-sharing Marketmentioning

confidence: 99%

“…The role of price is frequently debated in economics [21,25,26]. Particularly in the field of hospitality and airline transportation management, price is the most important criteria across hospitality choices [22,27]. The importance attributed to pricing decisions mainly arises from the intrinsic nature of the tourism product as a perishable and unstorable service [26], considering the near-zero marginal cost [28].…”

Section: Price Interactions Between Professional and Nonprofessional Decision Makers And Market Outcomementioning

confidence: 99%

Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome

Jia

Wang

2021

Sustainability

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Nonprofessional hosts in the P2P accommodation-sharing markets have been demonstrated to be inferior in pricing. The sharing market is increasingly recruiting more professional hosts but is bothered by the disharmony from nonprofessionals’ feelings of being cast aside in this drive. To respond to this practice and disharmony, we develop a modeling framework with price-sensitive customers and earning-based hosts to investigate how varying ratios of professional and nonprofessional hosts affect pricing and impact sharing-market outcomes according to contemporary and long-term success indicators. This study is one of the first attempts to examine whether more professional hosts as supply decision makers is more beneficial to the sharing market. Numerical experiments for model analysis led to two primary managerial implications. A high ratio of professional hosts does not necessarily maximize indicators of hosts’ earnings, platform’s profit, or supply size, indicators that measure the accommodation-sharing market’s contemporary and long-term success. In addition, the market improves with magnified differences in the unique features of two types of hosts and they can cater to customers’ experiences and expectations, differentiating the market positioning of the two types of hosts.

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Host type and pricing on Airbnb: Seasonality and perceived market power

Cited by 35 publications

References 34 publications

Social drivers of short stay market in a regional Australia: A local development perspective

Social drivers of short stay market in a regional Australia: A local development perspective

Understanding the effects of Covid-19 on P2P hospitality: Comparative classification analysis for Airbnb-Barcelona.

Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome

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