Paradiso, Antonio and Rao, B. Bhaskara and Margani, Patrizia (2011): Time Series Estimates of the Italian Consumer Confidence Indicator.
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This 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.
|Item Type:||MPRA Paper|
|Original Title:||Time Series Estimates of the Italian Consumer Confidence Indicator|
|Keywords:||Consumer confidence indicator, Short-term interest rate, Perceived rate of inflation, Cointegration.|
|Subjects:||C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models
D - Microeconomics > D1 - Household Behavior and Family Economics > D12 - Consumer Economics: Empirical Analysis
C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes
|Depositing User:||Antonio Paradiso|
|Date Deposited:||26. Jan 2011 18:49|
|Last Modified:||17. Feb 2013 13:13|
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