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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

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.

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)
Date: 2017
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Working Paper: A Novel Approach to Measuring Consumer Confidence (2014) Downloads
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