Time Series Estimates of the Italian Consumer Confidence Indicator
AbstractThis work shows that Italian consumer confidence indicator (CCI) is non-stationary and, therefore, can be estimated with the time series methods. It is found that a long-run relationship exists between CCI, short-term interest rate, industrial production index and the difference between perceived and measured inflation. The use of time series methods to estimate CCI for Italy is a novelty in the literature.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 28395.
Date of creation: 15 Jan 2011
Date of revision:
Consumer confidence indicator; Short-term interest rate; Perceived rate of inflation; Cointegration.;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-02-05 (All new papers)
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