Original scientific paper
https://doi.org/10.1080/1331677X.2018.1547205
Qualitative analysis of housing demand using Google trends data
Kun-Huang Huarng
Tiffany Hui-Kuang Yu
Maria Rodriguez-Garcia
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.
Keywords
Time series models; qualitative forecasting; housing demand
Hrčak ID:
229748
URI
Publication date:
9.2.2021.
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