Every quarter, the Bank of Canada conducts quarterly consultations with businesses across Canada, referred to as the Business Outlook Survey (BOS). A principal-component analysis conducted by Pichette and Rennison (2011) led to the development of the BOS indicator, which summarizes survey results and is used by the Bank as a gauge of overall business sentiment.
What’s Up with Unit Non-Response in the Bank of Canada’s Business Outlook Survey? The Effect of Staff TenureSince 1997, the Bank of Canada’s regional offices have been conducting the Business Outlook Survey (BOS), a quarterly survey of business conditions. Survey responses are gathered through face-to-face, confidential consultations with a sample of private sector firms representative of the various sectors, firm sizes and regions across Canada.
October 16, 2017Since the 2016 summer survey, the results from a question on future sales indicators (FSI) have been included in the Business Outlook Survey (BOS). This backgrounder briefly describes the question and presents the correlations between the responses and various measures of business activity.
April 6, 2015Starting with the 2015 spring survey, the results from a question on the intensity of labour shortages are being included in the Business Outlook Survey (BOS). This backgrounder briefly describes the question and presents the correlations between the responses and various measures of pressures on production capacity and labour market conditions.
Backgrounder on the Question in the Business Outlook Survey Concerning the Intensity of Labour Shortages
November 17, 2011 This article reviews recent work that uses principal-component analysis to extract information common to indicators from the Bank of Canada’s Business Outlook Survey (BOS). The authors use correlation analysis and an out-of-sample forecasting exercise to assess and compare the information content of the principal component with that of responses to key individual survey questions on growth in real gross domestic product and in real business investment. Results suggest that summarizing the common movements among BOS indicators may provide useful information for forecasting near-term growth in business investment. For growth in real gross domestic product, however, the survey’s balance of opinion on future sales growth appears to be more informative.
Since the autumn of 1997, the Bank of Canada's regional offices (located in Halifax, Montréal, Toronto, Calgary, and Vancouver) have conducted consultations with businesses across Canada on a quarterly basis. These consultations are now referred to as the Business Outlook Survey (BOS).
May 23, 2004 Since the autumn of 1997, the regional offices of the Bank of Canada have conducted quarterly consultations with businesses across Canada. Timed to feed into the process that precedes the Bank's fixed dates for announcing monetary policy decisions, the consultations (now referred to as the Business Outlook Survey) are structured around a questionnaire which is sent to 100 firms that reflect the Canadian economy in terms of region, type of business activity, and firm size. Martin describes both the consultation process and the questionnaire and makes an initial assessment of the data gathered during the business interviews. The article includes charts and correlation tables that illustrate the responses to the key questions included in the survey.
January 14, 2008Starting with the winter 2007–08 survey, the results of two additional questions became included in the Business Outlook Survey (BOS) publication: the balance of opinion on past sales and the balance of opinion on credit conditions. This backgrounder briefly describes the two questions and presents the correlations between the responses and relevant economic data.
Backgrounder on Questions in the Business Outlook Survey Concerning Past Sales and Credit Conditions
Computing the Accuracy of Complex Non-Random Sampling Methods: The Case of the Bank of Canada's Business Outlook SurveyA number of central banks publish their own business conditions survey based on non-random sampling methods. The results of these surveys influence monetary policy decisions and thus affect expectations in financial markets. To date, however, no one has computed the statistical accuracy of these surveys because their respective non-random sampling method renders this assessment non-trivial.
Staff Discussion Paper 2010-7 Daniel de MunnikWhile a number of central banks publish their own business conditions indicators that rely on non-random sampling, knowledge about their statistical accuracy has been limited.
October 22, 2005