{"title":"Airbnb的租金溢价和长期租赁的挤出","authors":"Robert J. Hill, Norbert Pfeifer, Miriam Steurer","doi":"10.1016/j.jhe.2023.101935","DOIUrl":null,"url":null,"abstract":"<div><p>Concerns about crowding out of long-term rentals have led many cities to impose limits on the days that properties can be let via Airbnb or similar platforms in a given year. However, so far, there has been little research into the effect of such measures. Using micro-level data on long-term rental and Airbnb contracts for Sydney, Australia, we first estimate how much more landlords can earn on Airbnb compared to the long-term rental market. We use three different methods to control for differences in the quality of Airbnb and long-term rentals (hedonic regression, switching model, and matching approach) and find that, on average the weekly Airbnb rent is nearly double that in the long-term market. This Airbnb rent premium reflects the higher costs borne by Airbnb landlords. Consistent with a spatial equilibrium, landlords require a higher Airbnb rent premium in postcodes with a higher average time since the last review (a proxy for the Airbnb vacancy rate). Similarly, we find that Airbnb rent premia and time-since-last-review are lower in cheaper postcodes. It is therefore important to recognize that the impact of day restrictions is likely to be felt more in the cheaper rather than more touristic areas of a city.</p></div>","PeriodicalId":51490,"journal":{"name":"Journal of Housing Economics","volume":"61 ","pages":"Article 101935"},"PeriodicalIF":1.4000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Airbnb rent premium and the crowding-out of long-term rentals\",\"authors\":\"Robert J. Hill, Norbert Pfeifer, Miriam Steurer\",\"doi\":\"10.1016/j.jhe.2023.101935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Concerns about crowding out of long-term rentals have led many cities to impose limits on the days that properties can be let via Airbnb or similar platforms in a given year. However, so far, there has been little research into the effect of such measures. Using micro-level data on long-term rental and Airbnb contracts for Sydney, Australia, we first estimate how much more landlords can earn on Airbnb compared to the long-term rental market. We use three different methods to control for differences in the quality of Airbnb and long-term rentals (hedonic regression, switching model, and matching approach) and find that, on average the weekly Airbnb rent is nearly double that in the long-term market. This Airbnb rent premium reflects the higher costs borne by Airbnb landlords. Consistent with a spatial equilibrium, landlords require a higher Airbnb rent premium in postcodes with a higher average time since the last review (a proxy for the Airbnb vacancy rate). Similarly, we find that Airbnb rent premia and time-since-last-review are lower in cheaper postcodes. It is therefore important to recognize that the impact of day restrictions is likely to be felt more in the cheaper rather than more touristic areas of a city.</p></div>\",\"PeriodicalId\":51490,\"journal\":{\"name\":\"Journal of Housing Economics\",\"volume\":\"61 \",\"pages\":\"Article 101935\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Housing Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1051137723000220\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Housing Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1051137723000220","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
The Airbnb rent premium and the crowding-out of long-term rentals
Concerns about crowding out of long-term rentals have led many cities to impose limits on the days that properties can be let via Airbnb or similar platforms in a given year. However, so far, there has been little research into the effect of such measures. Using micro-level data on long-term rental and Airbnb contracts for Sydney, Australia, we first estimate how much more landlords can earn on Airbnb compared to the long-term rental market. We use three different methods to control for differences in the quality of Airbnb and long-term rentals (hedonic regression, switching model, and matching approach) and find that, on average the weekly Airbnb rent is nearly double that in the long-term market. This Airbnb rent premium reflects the higher costs borne by Airbnb landlords. Consistent with a spatial equilibrium, landlords require a higher Airbnb rent premium in postcodes with a higher average time since the last review (a proxy for the Airbnb vacancy rate). Similarly, we find that Airbnb rent premia and time-since-last-review are lower in cheaper postcodes. It is therefore important to recognize that the impact of day restrictions is likely to be felt more in the cheaper rather than more touristic areas of a city.
期刊介绍:
The Journal of Housing Economics provides a focal point for the publication of economic research related to housing and encourages papers that bring to bear careful analytical technique on important housing-related questions. The journal covers the broad spectrum of topics and approaches that constitute housing economics, including analysis of important public policy issues.