Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8919504 | Econometrics and Statistics | 2017 | 9 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Rene Segers, Philip Hans Franses, Bert de Bruijn,