A novel approach to measuring consumer confidence
Rene Segers (),
Philip Hans Franses and
Bert de Bruijn
Econometrics and Statistics, 2017, vol. 4, issue C, 121-129
A new data collection method is put forward to measure daily consumer confidence at the individual level. The data thus obtained allow to statistically analyze the dynamic correlation of such a consumer confidence indicator and to draw inference on transition rates. The latter is not possible for currently available monthly data collected by statistical agencies on the basis of repeated cross-sections. In an application to measuring Dutch consumer confidence, results show that the incremental information content in the novel indicator helps to better forecast consumption.
Keywords: Consumer confidence; Randomized sampling; Markov transition model; Consumption (search for similar items in EconPapers)
JEL-codes: C33 C42 C81 E20 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only. Contains open access articles
Working Paper: A Novel Approach to Measuring Consumer Confidence (2014)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecosta:v:4:y:2017:i:c:p:121-129
Access Statistics for this article
Econometrics and Statistics is currently edited by E.J. Kontoghiorghes, H. Van Dijk and A.M. Colubi
More articles in Econometrics and Statistics from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().