Qualitative analysis of housing demand using Google trends data
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Qualitative analysis of housing demand using Google trends data

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Qualitative analysis of housing demand using Google trends data

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dc.contributor.author Kun Huang, Huarng
dc.contributor.author Hui-Kuang Yub, Tiffany
dc.contributor.author Rodríguez García, María
dc.date.accessioned 2021-04-21T09:55:51Z
dc.date.available 2021-04-21T09:55:51Z
dc.date.issued 2019
dc.identifier.uri https://hdl.handle.net/10550/78864
dc.description.abstract Big data analytics often refer to the breakdown of huge amounts of data into a more readable and useful format. This study utilises Google Trends big data as a proxy for an analysis of housing demand. We employ a qualitative method (fuzzy set/Qualitative Comparative Analysis, fsQCA), instead of a quantitative method, for our estimate and forecast. The empirical results show that fsQCA successfully forecasts seasonal time series, even though the dataset is small in size. Our findings fill the gap in the qualitative and time series forecasting literature, and the forecasting procedure herein also offers a good standard for industry.
dc.relation.ispartof Economic Research-Ekonomska Istrazivanja, 2019, vol. 33, num. 1, p. 409-4019
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Kun Huang, Huarng Hui-Kuang Yub, Tiffany Rodríguez García, María 2019 Qualitative analysis of housing demand using Google trends data Economic Research-Ekonomska Istrazivanja 33 1 409 4019
dc.subject Sèries temporals Anàlisi
dc.title Qualitative analysis of housing demand using Google trends data
dc.type info:eu-repo/semantics/article
dc.date.updated 2021-04-21T09:55:52Z
dc.identifier.doi https://doi.org/10.1080/1331677X.2018.1547205
dc.identifier.idgrec 145275

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