Extracting Information from the Business Outlook Survey Using Statistical Approaches
Abstract
Since the autumn of 1997, the regional offices of the Bank of Canada have conducted quarterly consultations with businesses across Canada. These consultations, summarized in the Business Outlook Survey (BOS), are structured around a survey questionnaire that covers topics of importance to the Bank, notably business activity, pressures on production capacity, prices and inflation, and credit conditions. The author aims to enhance our understanding of the survey’s information content by extending the early work of Martin and Papile (2004) in two key ways. First, since all BOS questions are designed to capture some aspect of economic activity and are therefore interrelated, various approaches were considered to extract the common underlying variations among the indicators: a subjective approach (a simple average), principal-component analysis and factor analysis. Second, the information content of these common movements is assessed, using regression analysis and a forecasting assessment. The results suggest that all approaches to extract the information from the BOS provide very similar measures of underlying common variations. This underlying variable appears to be a useful indicator of economic activity, particularly for providing information on investment spending. However, the balance of opinion on future sales growth remains a better indicator than any measures of common movements for the growth of real GDP.Download Info
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Paper provided by Bank of Canada in its series Discussion Papers with number 12-8.Length: 27 pages
Date of creation: 2012
Date of revision:
Handle: RePEc:bca:bocadp:12-8
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Related research
Keywords: Business fluctuations and cycles; Regional economic developments;Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-01-07 (All new papers)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lise Pichette & Lori Rennison, 2011. "Extracting Information from the Business Outlook Survey: A Principal-Component Approach," Bank of Canada Review, Bank of Canada, vol. 2011(Autumn), pages 21-28.
- Paul Jenkins & David Longworth, 2002. "Monetary Policy and Uncertainty," Bank of Canada Review, Bank of Canada, vol. 2002(Summer), pages 3-10.
- Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
- Graeme Chamberlin, 2007. "Forcasting GDP using external data sources," Economic and Labour Market Review, Palgrave Macmillan, vol. 1(8), pages 18-23, August.
- Giancarlo Bruno & Marco Malgarini, 2002.
"An Indicator of Economic Sentiment for the Italian Economy,"
ISAE Working Papers
28, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
- Bruno, Giancarlo & Malgarini, Marco, 2002. "An Indicator of Economic Sentiment for the Italian Economy," MPRA Paper 42331, University Library of Munich, Germany.
- Hansson, Jesper & Jansson, Per & Löf, Mårten, 2003.
"Business Survey Data: Do They Help in Forecasting the Macro Economy?,"
Working Paper Series
151, Sveriges Riksbank (Central Bank of Sweden).
- Hansson, Jesper & Jansson, Per & Löf, Mårten, 2003. "Business Survey Data: Do They Help in Forecasting the Macro Economy?," Working Paper 84, National Institute of Economic Research.
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