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Denoised Least Squares Forecasting of GDP Changes Using Indexes of Consumer and Business Sentiment


  • Antonis A. Michis

    () (Central Bank of Cyprus)


Indexes of consumer and business sentiment are frequently characterized by measurement errors and short-term cyclical fluctuations that can distort their predictive accuracy for GDP changes. While measurement errors arise due to the survey sampling procedures that characterize these surveys, short-term cyclical fluctuations are generally linked with various exogenous and irregular factors that are not necessarily related to the economy. This paper shows, using data on the US economy, that applying wavelet denoising on indexes of consumer and business sentiment in the context of the linear regression model can overcome these limitations and can provide: (a) efficient coefficient estimates in models that explain consumer sentiment index variation; and (b) consistent coefficient estimates and predictions in models for GDP changes when using consumer and business sentiment indexes as predictors.

Suggested Citation

  • Antonis A. Michis, 2010. "Denoised Least Squares Forecasting of GDP Changes Using Indexes of Consumer and Business Sentiment," Working Papers 2010-9, Central Bank of Cyprus.
  • Handle: RePEc:cyb:wpaper:2010-9

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    References listed on IDEAS

    1. Garner, C. Alan, 1981. "Economic determinants of consumer sentiment," Journal of Business Research, Elsevier, vol. 9(2), pages 205-220, June.
    2. Easaw, Joshy Z. & Garratt, Dean & Heravi, Saeed M., 2005. "Does consumer sentiment accurately forecast UK household consumption? Are there any comparisons to be made with the US?," Journal of Macroeconomics, Elsevier, vol. 27(3), pages 517-532, September.
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    6. Garcia-Ferrer, Antonio & Bujosa-Brun, Marcos, 2000. "Forecasting OECD industrial turning points using unobserved components models with business survey data," International Journal of Forecasting, Elsevier, vol. 16(2), pages 207-227.
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    9. Oller, Lars-Erik & Tallbom, Christer, 1996. "Smooth and timely business cycle indicators for noisy Swedish data," International Journal of Forecasting, Elsevier, vol. 12(3), pages 389-402, September.
    10. E. Philip Howrey, 2001. "The Predictive Power of the Index of Consumer Sentiment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 175-216.
    11. Miquel Clar & Juan-Carlos Duque & Rosina Moreno, 2007. "Forecasting business and consumer surveys indicators-a time-series models competition," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2565-2580.
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    More about this item


    Consumer sentiment index; denoised least squares; index of homebuilders’sentiment; index of manufacturing activity; measurement errors.;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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