Weighting bias and inflation in the time of COVID-19: evidence from Swiss transaction data
Pascal Seiler
Swiss Journal of Economics and Statistics, 2020, vol. 156, issue 1, 1-11
Abstract:
Abstract Sharp changes in consumer expenditure may bias inflation during the COVID-19 pandemic. Using public data from debit card transactions, I quantify these changes in consumer spending, update CPI basket weights and construct an alternative price index to measure the effect of the COVID-induced weighting bias on the Swiss consumer price index. I find that inflation was higher during the lock-down than suggested by CPI inflation. The annual inflation rate of the COVID price index was −0.4% by April 2020, compared to −1.1% of the equivalent CPI. Persistent “low-touch” consumer behavior can further lead to inflation being underestimated by more than a quarter of a percentage point until the end of 2020.
Keywords: Inflation; Consumption expenditure; Card transaction data; High-frequency data; COVID-19 (search for similar items in EconPapers)
JEL-codes: C43 E21 E31 E37 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://link.springer.com/10.1186/s41937-020-00057-7 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sjecst:v:156:y:2020:i:1:d:10.1186_s41937-020-00057-7
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/41937
DOI: 10.1186/s41937-020-00057-7
Access Statistics for this article
Swiss Journal of Economics and Statistics is currently edited by Marius Brülhart
More articles in Swiss Journal of Economics and Statistics from Springer, Swiss Society of Economics and Statistics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().