Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption?
AbstractThis paper examines whether the disaggregation of consumer sentiment data into its sub-components improves the real-time capacity to forecast GDP and consumption. A Bayesian error correction approach augmented with the consumer sentiment index and permutations of the consumer sentiment sub-indexes is used to evaluate forecasting power. The forecasts are benchmarked against both composite forecasts and forecasts from standard error correction models. Using Australian data, we find that consumer sentiment data increases the accuracy of GDP and consumption forecasts, with certain components of consumer sentiment consistently providing better forecasts than aggregate consumer sentiment data.
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Bibliographic InfoPaper provided by Melbourne Institute of Applied Economic and Social Research, The University of Melbourne in its series Melbourne Institute Working Paper Series with number wp2008n03.
Length: 20 pages
Date of creation: Feb 2008
Date of revision:
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Postal: Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, Victoria 3010 Australia
Phone: +61 3 8344 2100
Fax: +61 3 8344 2111
Web page: http://www.melbourneinstitute.com/
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Bayesian; Composite forecast; Consumer sentiment; Cointegration.;
Other versions of this item:
- Chew Lian Chua & Sarantis Tsiaplias, 2009. "Can consumer sentiment and its components forecast Australian GDP and consumption?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 698-711.
- E27 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-04-15 (All new papers)
- NEP-FOR-2008-04-15 (Forecasting)
- NEP-MAC-2008-04-15 (Macroeconomics)
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- Bahram Adrangi & Joseph Macri, 2011. "Consumer Confidence and Aggregate Consumption Expenditures in the United States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 1-18, February.
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