헤도닉가격모형을 이용한 에어비엔비 숙박가격 결정요인 분석
Analyzing Determinants of Airbnb accommodation Price Using the Hedonic Price Model
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The purpose of this study was to estimate determinants of Airbnb accommodation price through empirical analysis using a hedonic price model. For this purpose, the secondary data collected 696 samples through a web crawling method during August 1st to 30th, 2018 from the Airbnb website and the proposed accommodation prices were based on Seoul. According to the results from the completed data, there were independent variables that showed significant influence on the accommodation price that were as follows; overall satisfaction, number of bedrooms, number of beds, weekend price, separated bathroom, house, free internet, smoke detector and kids with family attributes indicated a significantly positive (+) result, relative guesthouse and share house attributes indicated a significantly negative (-) impact on accommodation price. However, there were other variables which did not significantly affect the accommodation price which were as follows; number of reviews, cleaning fee, extra people allowed, pet allowed and kitchen facility. The results of this study, it would help out users' selections of accommodation also give a guide to hosts when design and maintenance accommodation sharing platform through the price determinants.
Abstract
The purpose of this study was to estimate determinants of Airbnb accommodation price through empirical analysis using a hedonic price model. For this purpose, the secondary data collected 696 samples through a web crawling method during August 1st to 30th, 2018 from the Airbnb website and the proposed accommodation prices were based on Seoul. According to the results from the completed data, there were independent variables that showed significant influence on the accommodation price that were as follows; overall satisfaction, number of bedrooms, number of beds, weekend price, separated bathroom, house, free internet, smoke detector and kids with family attributes indicated a significantly positive (+) result, relative guesthouse and share house attributes indicated a significantly negative (-) impact on accommodation price. However, there were other variables which did not significantly affect the accommodation price which were as follows; number of reviews, cleaning fee, extra people allowed, pet allowed and kitchen facility. The results of this study, it would help out users' selections of accommodation also give a guide to hosts when design and maintenance accommodation sharing platform through the price determinants.
참고문헌 (34)
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