Measuring weekly consumer confidence
This paper puts forward a data collection method to measure weekly 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, which is not possible for currently available monthly data collected by statistical agencies on the basis of repeated cross-sections. An application of the method to various waves of data for the Netherlands shows its merits. Upon temporal aggregation we also show the resemblance of our data with those collected by Statistics Netherlands.
|Date of creation:||31 Mar 2008|
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- Rene Segers & Philip Hans Franses, 2014.
"Panel design effects on response rates and response quality,"
Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 1-24, February.
- Seger, R. & Franses, Ph.H.B.F., 2007. "Panel design effects on response rates and response quality," Econometric Institute Research Papers EI 2007-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Erdem, Tulin & Sun, Baohong, 2001. "Testing for Choice Dynamics in Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 142-152, April.
- Franses,Philip Hans & Paap,Richard, 2010. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521143653, December.
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