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.

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doi.org/10.1016/j.ecosta.2016.11.009, hdl.handle.net/1765/132394
Econometric Institute Reprint Series
Econometrics and Statistics
Erasmus School of Economics

Segers, R, Franses, Ph.H.B.F, & de Bruijn, L.P. (2017). A new approach to measure consumer confidence. Econometrics and Statistics, 4(october), 121–129. doi:10.1016/j.ecosta.2016.11.009