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.

Consumer confidence, Randomized sampling, Markov transition model, Consumption
Models with Panel Data (jel C33), Survey Methods (jel C42), Methodology for Collecting, Estimating, and Organizing Microeconomic Data (jel C81), Consumption, Saving, Production, Employment, and Investment: General (jel E20)
dx.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