Application of VAR Model to Determine Sustainability of Short-Term Rental Accommodation
dc.contributor.author | Guth, Karel | |
dc.contributor.author | Aišmannová, Tereza | |
dc.contributor.author | Benešová, Irena | |
dc.contributor.other | Ekonomická fakulta | cs |
dc.date.accessioned | 2023-09-27T12:41:06Z | |
dc.date.available | 2023-09-27T12:41:06Z | |
dc.description.abstract | Platforms like Airbnb have fundamentally reshaped the hospitality sector as we have known it. With its distinctive model, short-term rentals (STR) have gained significant popularity among tourists and property owners alike. As the popularity of STR continues to grow, questions arise regarding its implications for sustainable tourism. In this paper, we investigate the impact of short-term rental accommodation on residential housing prices in the centre of Prague by employing an econometric analysis of time series. For this purpose, we apply the vector autoregressive (VAR) model. In the modelling, we use data on the numbers and locations of Airbnb listings alongside data on the average housing price per square meter. Other variables did not prove to be statistically significant in the equations. Firstly, the variables need to be tested for stationarity. Based on the detection of non-stationarity in the time series, the data are then transformed using the first differences. Finally, the variables are suitable for the estimation of their parameters. Subsequently, we present an impulse response analysis and plot a forecast. The prediction is then subject to the ex-post comparison, which visualises how the prognosis of the VAR model correlates with the real values. | en |
dc.format | text | |
dc.identifier.doi | 10.15240/tul/009/lef-2023-57 | |
dc.identifier.isbn | 978-80-7494-627-1 | |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/172873 | |
dc.language.iso | en | |
dc.publisher | Technická Univerzita v Liberci | cs |
dc.publisher | Technical university of Liberec, Czech Republic | en |
dc.publisher.abbreviation | TUL | |
dc.relation.isbasedon | BARRON, K., E. KUNG, & D. PROSERPIO. (2021). The effect of home-sharing on house prices and rents: Evidence from Airbnb. Marketing Science, 2021, 40(1): 23-47. https://doi.org/10.1287/mksc.2020.1227 | |
dc.relation.isbasedon | BIAGI, B., M. G. BRANDANO, & S. B. CAUDILL. (2016). Tourism and house prices in Italy: a latent class approach. TourismEconomics, 2016, 22(5): 964-978. https://doi.org/10.5367/te.2015.0470 | |
dc.relation.isbasedon | DICKEY, D. A. & W. A. FULLER. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 1981, 49(4): 1057−1072. https://doi.org/10.2307/1912517 | |
dc.relation.isbasedon | FRANCO, S. F., & C. D. SANTOS. (2021). The impact of Airbnb on residential property values and rents: Evidence from Portugal. Regional Science and Urban Economics, 2021, 88, 103667. https://doi.org/10.2139/ssrn.3387341 | |
dc.relation.isbasedon | GARCIA-LÓPEZ, M. À., J. JOFRE-MONSENY, R. MARTÍNEZ-MAZZA, & M. SEGÚ. (2020). Do short-term rental platforms affect housing markets? Evidence from Airbnb in Barcelona. Journal of Urban Economics, 2020, 119, 103278. https://doi.org/10.2139/ssrn.3428237 | |
dc.relation.isbasedon | GRANGER, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Crossspectral Methods. Econometrica, 1969, 37(3): 424–438. https://doi.org/10.2307/1912791 | |
dc.relation.isbasedon | HORN, K., & M. MERANTE. (2017). Is home sharing driving up rents? Evidence from Airbnb in Boston. Journal of Housing Economics, 2017, 38: 14-24. https://doi.org/10.1016/j.jhe.2017.08.002 | |
dc.relation.isbasedon | INSIDE AIRBNB. (2022). Prague, Czech Republic. [cit. 2023-01-06]. Available at: http://insideairbnb. com/prague/. | |
dc.relation.isbasedon | KLJUČNIKOV, A., V. KRAJČÍK, & Z. VINCÚROVÁ. (2018). International Sharing Economy: the Case of Airbnb in the Czech Republic. Economics & Sociology, 2018, 11(2). https://doi.org/10.14254/2071 | |
dc.relation.isbasedon | KOSTER, H. R., J. VAN OMMEREN, & N. VOLKHAUSEN. (2021). Short-term rentals and the housing market: Quasi-experimental evidence from Airbnb in Los Angeles. Journal of Urban Economics, 2021, 124, 103356. https://doi.org/10.1016/j.jue.2021.103356 | |
dc.relation.isbasedon | KRAJCIK, V., A. KLJUCNIKOV, & E. RIHOVA. (2019). Innovative Sharing Economy’s Business Models in Tourism: Case of Airbnb in Prague. Marketing and Management of Innovations, 2019, 2: 108-117. https://doi.org/10.21272/mmi.2019.2-10 | |
dc.relation.isbasedon | SEGÚ, M. (2018). Do short-term rent platforms affect rents? Evidence from Airbnb in Barcelona. MPRA Paper No. 84369. [cit. 2022-12-27]. Availalbe at: https://mpra.ub.uni-muenchen.de/84369/1/MPRA_paper_84369.pdf | |
dc.relation.isbasedon | SIMS, C. A. (1980). Macroeconomics and Reality. Econometrica, 1980, 48(1): 1–48. https://doi.org/10.2307/1912017 | |
dc.relation.isbasedon | SHEPPARD, S. & A. UDELL. (2016). Do Airbnb properties affect house prices. Williams College Department of Economics Working Papers, 2016, 3(1): 43. | |
dc.relation.ispartof | Liberecké ekonomické fórum 2023 | cs |
dc.relation.ispartof | Liberec Economic Forum 2023 | en |
dc.subject | Airbnb | en |
dc.subject | sharing economy | en |
dc.subject | housing market | en |
dc.subject | real estate price | en |
dc.subject | tourism | en |
dc.subject.classification | C32 | |
dc.subject.classification | E37 | |
dc.subject.classification | R31 | |
dc.title | Application of VAR Model to Determine Sustainability of Short-Term Rental Accommodation | en |
dc.type | proceeding paper | en |
local.access | open | |
local.citation.epage | 547 | |
local.citation.spage | 539 | |
local.faculty | Faculty of Economics | |
local.fulltext | yes | |
local.relation.abbreviation | LEF | cs |
local.relation.abbreviation | LEF | en |
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