KDI 한국개발연구원 - 경제정책정보 - 발간처별 목록 - 국외 경제사회연구원 - NIESR - Outlier detection methodologies for alternative data sources: International review of current practices

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Outlier detection methodologies for alternative data sources: International review of current practices

NIESR 2020.12.03
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The construction of consumer price indexes (CPI) has historically relied on manually and centrally collected price data. As point of sale (POS) scanner data and web-scraped data become more accessible, these alternative data represent a rich new source of information to produce consumer price information. While outlier detection methodologies are well established for traditional data sources, more research is required to better understand the unique quality and format of the alternative data. Several national statistical institutions (NSIs) have already started to conduct research into alternative data source and the outlier detection methodologies that are necessary before these data can be incorporated into CPI calculations. This project reviews the outlier detection methodologies adopted by NSIs that have started to incorporate alternative data sources in their calculation of CPI.

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