Production and Disposition of Tobacco Products
Detailed information for October 2003
Status:
Active
Frequency:
Monthly
Record number:
2142
The monthly survey, Production and Disposition of Tobacco products, measures quantities of tobacco products that are produced and sold by Canadian manufacturers.
Data release - December 1, 2003
Description
This survey measures on a monthly basis, the quantities of tobacco products that are produced and sold by Canadian manufacturers.
The quantities of tobacco products produced and sold are used as an indicator of the economic condition of the tobacco products manufacturing industry; as an input into Canada's Gross Domestic Product and as an input into macro- and micro-economic studies to determine market shares and industry trends. Data are used by the business community, federal and provincial departments and international organizations.
Reference period: Month
Collection period: During the month following the reference month.
Subjects
- Food, beverage and tobacco
- Manufacturing
Data sources and methodology
Target population
The target population for this survey includes manufacturers in Canada of tobacco products as defined in the Standard Classification of Goods (SCG) that report these products to the Annual Survey of Manufacturing and Logging Industries or ASML (record number 2103). This means that estimates from this monthly survey do not cover the entire universe of producers of tobacco products in Canada, because the ASML does not survey all businesses. Instead, the ASML uses administrative data to cover the small and medium-sized establishments. These manufacturers are not part of this monthly survey.
Instrument design
The questionnaire for this survey has remained stable over the years, although the format and wording has been modified to maintain its relevance based on feedback from survey respondents and data users.
Sampling
This survey is a census with a cross-sectional design.
This methodology does not apply.
Data sources
Responding to this survey is mandatory.
Data are collected directly from survey respondents.
Data are collected each month from survey respondents using a mail-out / mail-back process. Data capture and preliminary editing are performed simultaneously to ensure validity of the data. Businesses from whom no response has been received or whose data may contain errors are followed-up by telephone or fax.
Under normal circumstance, data are collected, captured, edited, tabulated and published within 4 weeks after the reference month.
View the Questionnaire(s) and reporting guide(s) .
Error detection
In order to detect errors and internal inconsistencies, automated edits are applied to captured data to verify that totals equal the sum of components and that the data are consistent with the previous month's data. Data that fail the edits are subject to manual inspection and possible corrective action.
In addition, subject matter experts analyze the data at a more aggregate level to detect and verify any large month-to-month or year-over-year changes for the industry.
Imputation
Missing data for the current month are imputed automatically by applying to the previous month's value, the month-to-month change observed for the same period in the previous year, for the unit in question. However, an option exists for analysts to manually override this imputation with a better estimate based on pertinent knowledge about the industry or the business.
Quality evaluation
Survey results are analyzed to ensure comparability with patterns observed in the historical data series and the economic condition of the industry. Information available from other sources such as the media and other government organizations are also used in the validation process.
Disclosure control
Statistics Canada is prohibited by law from releasing any data which would divulge information obtained under the Statistics Act that relates to any identifiable person, business or organization without the prior knowledge or the consent in writing of that person, business or organization. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.
Confidentiality analysis includes the detection of possible "direct disclosure", which occurs when the value in a tabulation cell is composed of a few respondents or when the cell is dominated by a few companies.
Revisions and seasonal adjustment
The monthly estimates of the production and disposition of cigarettes are seasonally adjusted using the X-11 ARIMA program.
Data accuracy
Based on the 1998 Annual Survey of Manufactures, this survey accounts for 100% of the total production of tobacco and the degree of estimation for non-response was 0%.
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