Cement Survey
Detailed information for November 2007
Status:
Inactive
Frequency:
Monthly
Record number:
2140
The monthly survey, Cement, measures quantities of domestic cement that are produced and shipped by Canadian manufacturers. The survey also measures sales of domestic and imported cement by region as well as quantities that are exported.
Data release - January 11, 2008
Description
This survey measures, on a monthly basis, the quantities of domestic cement that are produced and shipped by Canadian manufacturers. The survey also measures sales of domestic and imported cement by region as well as quantities are are exported.
The quantities of cement produced, shipped and sold are used as an indicator of the economic condition of the cement manufacturing industry, as an input to 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, trade associations (including the Cement Association of Canada), federal and provincial departments and international organizations.
Reference period: Month
Collection period: During the month following the reference month.
Subjects
- Construction
- Construction materials
- Manufacturing
- Non-metallic mineral and metal
Data sources and methodology
Target population
The target population for this survey includes manufacturers of cement in Canada as defined in the Standard Classification of Goods (SCG,that report this product 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 cement producers 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 was developed in collaboration with the Cement Association of Canada. Regular dialogue is maintained with the association and the respondents, and every effort is made to ensure that the questions asked are relevant and can be answered by the manufacturers.
Sampling
This survey is a census with a cross-sectional design.
Data are collected for all units of the target population, therefore, no sampling is done.
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 circumstances, data are collected, captured, edited, tabulated and published within 6 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 from 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. Imputed data are revised in the following months if the non-response situation is resolved.
Estimation
This methodology type does not apply to this statistical program.
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 Monthly Survey of Manufacturing or MSM (record number 2101), the media, other government organizations, and industry associations are also used in the validation process.
Disclosure control
Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. 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.
Direct disclosure may occur when the value in a tabulation cell is composed of a few responses or when the cell is dominated by a few companies. Residual disclosure may occur when confidential information can be derived indirectly by piecing together information from different sources or data series.
Revisions and seasonal adjustment
Data may be revised to include amended information or reports from respondents that are received after the end of the collection cycle. Revisions are disseminated in a subsequent period and reflected in the CANSIM series.
Data accuracy
The methodology of this survey has been designed to promote data accuracy. Since data are collected from all Canadian producers of cement, as defined in the target population, the resulting estimates are not subject to sampling error. However, the results are still subject to the non-sampling errors associated with coverage, non-response, inaccurate reporting, and processing. Errors relating to coverage and non-response can be measured. All attempts are made to control inaccurate reporting and processing errors.
Coverage error
There is a degree of under coverage (referred to as coverage error) in the survey results as there is generally a lag between the time a new business comes into existence and when it is included in the universe of this sub-annual survey. This is due to the fact that the list of companies surveyed is derived from the latest available survey results of the ASML which are not available until 15 months after the reference period.
This error is kept at a minimum by also using advance information from the ASML, feedback from the MSM and other sources such as the Cement Association of Canada, trade journals and newspaper articles, to identify new survey units.
Coverage error based on ASML 2006 (most recent survey results) is estimated at 0%.
Non-response error
Some respondents may be unable to provide data for numerous reasons (i.e. fire, theft, strike, economic hardship, etc.), while others may be late in responding. To minimize non-response, delinquent respondents are followed up rigorously by phone or fax. Data for non-responding units are imputed using industry trend and other related information. Data are revised at a later date, if completed questionnaires are received after the end of a collection cycle.
Non-response error is calculated using the number of non-responses in the year, divided by the number of total expected responses in the year. The average non-response error for the Cement survey was estimated at 9% for 2006 (the last completed cycle).
Inaccurate response
Inaccuracy may result from poor questionnaire design or an inability on the part of respondents to provide the requested information or from misinterpretation of the survey questions. To reduce such errors the format and wording in the questionnaire are reviewed from time to time and modified based on feedback from survey respondents and data users. Respondents are also reminded of the importance of their contribution and of the accuracy of reported information.
Processing errors
These errors may occur at various stages in the processing of survey data such as data entry, verification, editing and tabulation. Data are examined for such errors using automated edits along with an analytical review by subject matter experts. Several checks are performed on the collected data to verify internal consistency and comparability over time.
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