Outlier detection methodologies for alternative data sources: International review of current practices
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Other versions of this item:
- Janine Boshoff & Xuxin Mao & Garry Young, 2020. "Outlier detection methodologies for alternative data sources: International review of current practices," National Institute of Economic and Social Research (NIESR) Discussion Papers 523, National Institute of Economic and Social Research.
References listed on IDEAS
- Diewert, W. Erwin & Fox, Kevin J. & de Haan, Jan, 2016. "A newly identified source of potential CPI bias: Weekly versus monthly unit value price indexes," Economics Letters, Elsevier, vol. 141(C), pages 169-172.
- repec:grz:wpaper:2016-13 is not listed on IDEAS
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More about this item
Keywords
consumer price index; multilateral indices; outlier detection; scanner data; web-scraped data;All these keywords.
JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-MAC-2020-11-09 (Macroeconomics)
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