2018
DOI: 10.2139/ssrn.3296073
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Online Price Index with Product Replacement: The Closest-Match Approach

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“…This means that a price change of an identical item, occurring along with a change in the scanner data barcode of that item, would not be captured by the unit value (von Auer, 2016). Machine learning techniques may help solve that problem (Chessa, 2019a;Bertolotto, 2019). 102 These biases typically increase over time and can occur for fixed weight indices chained and reweighted at a high frequency as well as for chain-linked superlative indices with monthly weights (de Haan and van der Grient, 2009;von Auer, 2019).…”
Section: Quality Adjustment Biasmentioning
confidence: 99%
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“…This means that a price change of an identical item, occurring along with a change in the scanner data barcode of that item, would not be captured by the unit value (von Auer, 2016). Machine learning techniques may help solve that problem (Chessa, 2019a;Bertolotto, 2019). 102 These biases typically increase over time and can occur for fixed weight indices chained and reweighted at a high frequency as well as for chain-linked superlative indices with monthly weights (de Haan and van der Grient, 2009;von Auer, 2019).…”
Section: Quality Adjustment Biasmentioning
confidence: 99%
“…107 If implicit methods are used in situations when their underlying assumptions are not met or if explicit methods are not correctly specified(Boskin et al, 1996, p. 27). Further examples can be found inSchultze (2003),Dalén and Tarassiouk (2013),Keating and Murtagh (2018),Goldhammer et al (2019) andBertolotto (2019).108 For an overview, seeDESTATIS (2009), Chapter 5, pp. 29-43, and Eurostat (2018), Chapter 6, pp.…”
mentioning
confidence: 99%