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

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  • Antonis A. Michis

    (Central Bank of Cyprus)

Abstract

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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    File URL: https://www.centralbank.cy/images/media/pdf/NPWPE_No9_102010_.pdf
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    References listed on IDEAS

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    Cited by:

    1. Gric, Zuzana & Ehrenbergerova, Dominika & Hodula, Martin, 2022. "The power of sentiment: Irrational beliefs of households and consumer loan dynamics," Journal of Financial Stability, Elsevier, vol. 59(C).

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    More about this item

    Keywords

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

    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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