scholarly journals Analysis of price determinants in the case of Airbnb listings

Author(s):  
Valentin Toader ◽  
Adina Letiţia Negrușa ◽  
Oana Ruxandra Bode ◽  
Rozalia Veronica Rus
Keyword(s):  
2020 ◽  
Vol 16 (4) ◽  
pp. 584-601
Author(s):  
Chunwei Chang ◽  
Shengli Li

This research aims to identify price determinants for sharing economy-based accommodation services and to further use the identified price determinants to predict accommodation prices. A dataset drawn from Airbnb.com, was collected for analysis. We identify price determinants from five categories. The top five price determinants are identified as room type, city, distance to tourist attractions, number of pictures posted, and number of amenities provided. More importantly, we find that interaction effects between variables can also significantly influence price. Finally, a series of price prediction models are built based on the identified price determinants.


Author(s):  
Sindija Balode ◽  
Uldis Kamols

Abstract The research focuses on the rental housing market in Riga and reveals that among factors that affect the rent level in neighbourhoods of Riga the most are distance from the city centre, neighbourhood safety, quality of housing and transport infrastructure, access to shopping malls, and employment opportunities. The aim of the research is to analyse the housing market in Riga, by putting a special focus on price determinants and lesson keys of Helsinki. Quantitative and qualitative research methods are used in the paper with the biggest contribution being extraction and analysis of data about more than 1800 rental apartments in Riga from the largest Latvian online real estate advertisement platform. Quantitative analysis is based on investigating relationships between average rent levels in different neighbourhoods of Riga and index values of 23 urban environment factors. In addition, the rental housing market in Helsinki is researched, emphasising few guidelines for rental housing market improvements in Riga, such as introducing government subsidies.


2021 ◽  
Vol 37 (1) ◽  
Author(s):  
Muhammad Abdullah ◽  
Syed Attaullah Shah ◽  
Khurram Nawaz Saddozai ◽  
Jahangir Khan ◽  
Mohammad Fayaz ◽  
...  

2018 ◽  
Vol 54 (1) ◽  
pp. 61-84 ◽  
Author(s):  
Matthew Gnagey ◽  
Ryan Tans

2009 ◽  
Vol 12 (3) ◽  
pp. 193-220
Author(s):  
Karol Jan Borowiecki ◽  

This paper studies the Swiss housing price determinants. The Swiss housing economy is reproduced by employing a macro- series from the last seventeen years and constructing a vector-autoregressive model. Conditional on a comparatively broad set of fundamental determinants considered, i.e. wealth, banking, demographic and real estate specific variables, the following findings are made: 1) real house price growth and construction activity dynamics are most sensitive to changes in population and construction prices, whereas real GDP, in contrary to common empirical findings in other countries, turns out to have only a minor impact in the short-term, 2) exogenous house price shocks have no long-term impacts on housing supply and vice versa, and 3) despite the recent substantial price increases, worries of overvaluation are unfounded. Furthermore, based on a self-constructed quality index, evidence is provided for a positive impact of quality improvements in supplied dwellings on house prices.


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