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:||30. Dec 2015 22:48|
Dion, D. P. (2007) Does consumer confidence forecast household spending? The Euro Area case, MPRA Paper No. 911.
Dreger, C. and Kholodilin, K. (2010) Forecasting private consumption by consumer surveys, DIW Berlin Discussion Paper No. 1066.
European Commission (2007) The joint hanrmonised EU programme of business and consumer surveys, User guide.
Golinelli, R. and Parigi, G. (2005) Le famiglie italiane e l’introduzione dell’euro: storia di uno shock annunciato, Politica Economica, anno XVI, 201-226.
Malgarini, M. and Margani P. (2007) Psychology, consumer sentiment and household expenditures, Applied Economics, 39, 1719-1729.
Mueller, E. (1963) Ten years of consumer attitudes surveys: Their forecasting record, Journal of the American Statistical Association, 58, 899-917.
Park, J. Y. (1992) Canonical cointegrating regression, Econometrica, 60, 119-143.
Philips, P. C. and Hansen, B. E. (1990) Statistical inference in instrumental variables regression with I(1) processes, Review of Economic Studies, 57, 99-125.
Praet, P. and Vuchelen, J. (1989) The contribution of consumer confidence indexes in forecasting the effects of oil prices on private consumption, International Journal of Forecasting, 5, 393-397.
Saikkonen, P. and Lutkepohl, H. (2000a) Test for the cointegrating rank of a VAR process with an intercept, Econometric Theory, 16, 373-406.
Saikkonen, P. and Lutkepohl, H. (2000b) Test for the cointegrating rank of a VAR process with structural shift, Journal of Business & Economic Statistics, 18, 451-464.
Saikkonen, P. and Lutkepohl, H. (2000c) Trend adjustment prior to testing for the cointegrating rank of vector autoregressive process, Journal of Time Series Analysis, 21, 435-456.
Schwert, G. W. (1989) Tests for unit-roots: A Monte Carlo investigation, Journal of Business and Economic Statistics, 7, 147-159.
Stock, J. and Watson, M. (1993) A simple estimator of cointegratinf vectors in higher order integrated systems, Econometrica, 61, 783-820.