NDLI: Qualitative analysis of housing demand using Google trends data

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Qualitative analysis of housing demand using Google trends data

Content Provider	Scilit
Author	Huarng, Kun-Huang Yu, Tiffany Hui-Kuang Rodriguez-Garcia, Maria
Copyright Year	2019
Description	Journal: Economic Research-Ekonomska Istraživanja 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.
Related Links	https://www.tandfonline.com/doi/pdf/10.1080/1331677X.2018.1547205?needAccess=true
Ending Page	2017
Page Count	11
Starting Page	2007
ISSN	1331677X
e-ISSN	18489664
DOI	10.1080/1331677x.2018.1547205
Journal	Economic Research-Ekonomska Istraživanja
Issue Number	1
Volume Number	33
Language	English
Publisher	Informa UK Limited
Publisher Date	2019-06-13
Access Restriction	Open
Subject Keyword	Journal: Economic Research-Ekonomska Istraživanja Information and Library Science Urban and Regional Planning Time Series Models Qualitative Forecasting Housing Demand
Content Type	Text
Subject	Economics and Econometrics

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