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Time Series Estimates of the Italian Consumer Confidence Indicator

Author

Listed:
  • Paradiso, Antonio
  • Rao, B. Bhaskara
  • Margani, Patrizia

Abstract

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.

Suggested Citation

  • Paradiso, Antonio & Rao, B. Bhaskara & Margani, Patrizia, 2011. "Time Series Estimates of the Italian Consumer Confidence Indicator," MPRA Paper 28395, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:28395
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    File URL: https://mpra.ub.uni-muenchen.de/28395/1/MPRA_paper_28395.pdf
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    References listed on IDEAS

    as
    1. Park, Joon Y, 1992. "Canonical Cointegrating Regressions," Econometrica, Econometric Society, vol. 60(1), pages 119-143, January.
    2. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 99-125.
    3. Saikkonen, Pentti & L tkepohl, Helmut, 2000. "Testing For The Cointegrating Rank Of A Var Process With An Intercept," Econometric Theory, Cambridge University Press, vol. 16(03), pages 373-406, June.
    4. Christian Dreger & Konstantin Arkadievich Kholodilin, 2013. "Forecasting Private Consumption by Consumer Surveys," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(1), pages 10-18, January.
    5. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    6. Saikkonen, Pentti & Lutkepohl, Helmut, 2000. "Testing for the Cointegrating Rank of a VAR Process with Structural Shifts," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(4), pages 451-464, October.
    7. Praet, Peter & Vuchelen, Jef, 1989. "The contribution of consumer confidence indexes in forecasting the effects of oil prices on private consumption," International Journal of Forecasting, Elsevier, vol. 5(3), pages 393-397.
    8. Marco Malgarini & Patrizia Margani, 2007. "Psychology, consumer sentiment and household expenditures," Applied Economics, Taylor & Francis Journals, vol. 39(13), pages 1719-1729.
    9. Dion, David Pascal, 2006. "Does Consumer Confidence Forecast Household Spending? The Euro Area Case," MPRA Paper 911, University Library of Munich, Germany.
    10. Roberto Golinelli & Giuseppe Parigi, 2005. "Le famiglie italiane e l'introduzione dell'euro: storia di uno shock annunciato," Politica economica, Società editrice il Mulino, issue 2, pages 201-226.
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    Cited by:

    1. Gagea Mariana, 2012. "The Contribution Of Business Confidence Indicators In Short-Term Forecasting Of Economic Development," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 617-623, July.

    More about this item

    Keywords

    Consumer confidence indicator; Short-term interest rate; Perceived rate of inflation; Cointegration.;

    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; State Space Models
    • 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; Diffusion Processes

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