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1. Technical Guide on Demographic Estimates at Statistics Canada
Surveys and statistical programs – Documentation: 91-528-X
Description: The Technical Guide on Demographic Estimates at Statistics Canada provides detailed descriptions of the most current data sources and methods used by the Centre for demography at Statistics Canada to produce demographic estimates as part of the Demographic estimates program. They comprise postcensal and intercensal population estimates; base population; births and deaths; immigrants; emigrants; returning emigrants; non-permanent residents; interprovincial migration; subprovincial estimates of population and intraprovincial migration; population estimates by age and gender; and census family estimates. A glossary of commonly used terms is available at the end of the guide.
Release date: 2025-12-17
2. The 2006 Canadian Birth-Census Cohort Archived
Articles and reports: 82-003-X201600114306
Description:
This article is an overview of the creation, content, and quality of the 2006 Canadian Birth-Census Cohort Database.
Release date: 2016-01-20
3. A tailored approach strategy for young moroccans and turks for the Dutch Family and Fertility Survey Archived
Articles and reports: 11-522-X20040018653
Description:
This paper discusses the development of the tailored approach strategy, the pre-test, the sample design of the Dutch Family and Fertility Survey, the embedded experiment and its results.
Release date: 2005-10-27
4. A causal event history approach to interrelated family events Archived
Articles and reports: 11-522-X20020016742
Geography: Canada
Description:
One of the most important advances brought about by life course and event history studies is the use of parallel or interdependent processes as explaining factors in transition rate models. The purpose of this paper is to demonstrate a causal approach to the study of interrelated family events. Various types of interdependent processes are described first, followed by two event history perspectives: the 'system' and 'causal' approaches. The authors assert that the causal approach is more appropriate from an analytical point of view as it provides a straightforward solution to simultaneity, cause-effect lags, and temporal shapes of effects. Based on comparative cross-national applications in West and East Germany, Canada, Latvia and the Netherlands, the usefulness of the causal approach is demonstrated by analysing two highly interdependent family processes: entry into marriage (for individuals who are in a consensual union) as the dependent process, and first pregnancy/childbirth as the explaining one. Both statistical and theoretical explanations are explored emphasizing the need for conceptual reasoning.
Release date: 2004-09-13
5. Data detectives: uncovering systematic errors Archived
Articles and reports: 11-522-X20010016237
Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Secondary users of health information often assume that administrative data provides a relatively sound basis for making important planning and policy decisions. If errors are evenly or randomly distributed, this assumption may have little impact on these decisions. However, when information sources contain systematic errors, or when systematic errors are introduced during the creation of master files, this assumption can be damaging.
The most common systematic errors involve underreporting activities for a specific population; inaccurate re-coding of spatial information; and differences in data entry protocols, which have raised questions about the consistency of data submitted by different tracking agencies. The Central East Health Information Partnership (CEHIP) has identified a number of systematic errors in administrative databases and has documented many of these in reports distributed to partner organizations.
This paper describes how some of these errors were identified and notes the processes that give rise to the loss of data integrity. The conclusion addresses some of the impacts these problems have for health planners, program managers and policy makers.
Release date: 2002-09-12
6. Census coverage error: A demographic evaluation Archived
Articles and reports: 12-001-X20000015177
Description:
The 1996 Canadian Census is adjusted for coverage error as estimated primarily through the Reverse Record Check (RRC). In this paper, we will show how there is a wealth of additional information from the 1996 Reverse Record Check of direct value to population estimation. Beyond its ability to estimate coverage error, it is possible to extend the Reverse Record Check classification results to obtain an alternative estimate of demographic growth - potentially decomposed by component. This added feature of the Reverse Record Check provides promise in the evaluation of estimated census coverage error as well as insight as to possible problems in the estimation of selected components in the population estimates program.
Release date: 2000-08-30
7. Validation Study for a Record Linkage of Births and Infant Deaths in Canada Archived
Journals and periodicals: 84F0013X
Geography: Canada, Province or territory
Description:
This study was initiated to test the validity of probabilistic linkage methods used at Statistics Canada. It compared the results of data linkages on infant deaths in Canada with infant death data from Nova Scotia and Alberta. It also compared the availability of fetal deaths on the national and provincial files.
Release date: 1999-10-08
8. Sampling and maintenance of a stratified panel of fixed size Archived
Articles and reports: 12-001-X19970023618
Description:
Statistical agencies often constitute their business panels by Poisson sampling, or by stratified sampling of fixed size and uniform probabilities in each stratum. This stampling corresponds to algorithms which use permanent numbers following a uniform distribution. Since the characteristics of the units change over time, it is necessary to periodically conduct resamplings while endeavouring to conserve the maximum number of units. The solution by Poisson sampling is the simplest and provides the maximum theoretical coverage, but with the disadvantage of a random sample size. On the other hand, in the case of stratified sampling of fixed size, the changes in strata cause difficulties precisely because of these fixed size constraints. An initial difficulty is that the finer the stratification, the more the coverage is decreased. Indeed, this is likely to occur if births constitute separate strata. We show how this effect can be corrected by rendering the numbers equidistant before resampling. The disadvantage, a fairly minor one, is that in each stratum the sampling is no longer a simple random sampling, which makes the estimation of the variance less rigorous. Another difficulty is reconciling the resampling with an eventual rotation of the units in the sample. We present a type of algorithm which extends after resampling the rotation before resampling. It is based on transformations of the random numbers used for the sampling, so as to return to resampling without rotation. These transformations are particularly simple when they involve equidistant numbers, but can also be carried out with the numbers following a uniform distribution.
Release date: 1998-03-12

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1. The 2006 Canadian Birth-Census Cohort Archived
Articles and reports: 82-003-X201600114306
Description:
This article is an overview of the creation, content, and quality of the 2006 Canadian Birth-Census Cohort Database.
Release date: 2016-01-20
2. A tailored approach strategy for young moroccans and turks for the Dutch Family and Fertility Survey Archived
Articles and reports: 11-522-X20040018653
Description:
This paper discusses the development of the tailored approach strategy, the pre-test, the sample design of the Dutch Family and Fertility Survey, the embedded experiment and its results.
Release date: 2005-10-27
3. A causal event history approach to interrelated family events Archived
Articles and reports: 11-522-X20020016742
Geography: Canada
Description:
One of the most important advances brought about by life course and event history studies is the use of parallel or interdependent processes as explaining factors in transition rate models. The purpose of this paper is to demonstrate a causal approach to the study of interrelated family events. Various types of interdependent processes are described first, followed by two event history perspectives: the 'system' and 'causal' approaches. The authors assert that the causal approach is more appropriate from an analytical point of view as it provides a straightforward solution to simultaneity, cause-effect lags, and temporal shapes of effects. Based on comparative cross-national applications in West and East Germany, Canada, Latvia and the Netherlands, the usefulness of the causal approach is demonstrated by analysing two highly interdependent family processes: entry into marriage (for individuals who are in a consensual union) as the dependent process, and first pregnancy/childbirth as the explaining one. Both statistical and theoretical explanations are explored emphasizing the need for conceptual reasoning.
Release date: 2004-09-13
4. Data detectives: uncovering systematic errors Archived
Articles and reports: 11-522-X20010016237
Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Secondary users of health information often assume that administrative data provides a relatively sound basis for making important planning and policy decisions. If errors are evenly or randomly distributed, this assumption may have little impact on these decisions. However, when information sources contain systematic errors, or when systematic errors are introduced during the creation of master files, this assumption can be damaging.
The most common systematic errors involve underreporting activities for a specific population; inaccurate re-coding of spatial information; and differences in data entry protocols, which have raised questions about the consistency of data submitted by different tracking agencies. The Central East Health Information Partnership (CEHIP) has identified a number of systematic errors in administrative databases and has documented many of these in reports distributed to partner organizations.
This paper describes how some of these errors were identified and notes the processes that give rise to the loss of data integrity. The conclusion addresses some of the impacts these problems have for health planners, program managers and policy makers.
Release date: 2002-09-12
5. Census coverage error: A demographic evaluation Archived
Articles and reports: 12-001-X20000015177
Description:
The 1996 Canadian Census is adjusted for coverage error as estimated primarily through the Reverse Record Check (RRC). In this paper, we will show how there is a wealth of additional information from the 1996 Reverse Record Check of direct value to population estimation. Beyond its ability to estimate coverage error, it is possible to extend the Reverse Record Check classification results to obtain an alternative estimate of demographic growth - potentially decomposed by component. This added feature of the Reverse Record Check provides promise in the evaluation of estimated census coverage error as well as insight as to possible problems in the estimation of selected components in the population estimates program.
Release date: 2000-08-30
6. Validation Study for a Record Linkage of Births and Infant Deaths in Canada Archived
Journals and periodicals: 84F0013X
Geography: Canada, Province or territory
Description:
This study was initiated to test the validity of probabilistic linkage methods used at Statistics Canada. It compared the results of data linkages on infant deaths in Canada with infant death data from Nova Scotia and Alberta. It also compared the availability of fetal deaths on the national and provincial files.
Release date: 1999-10-08
7. Sampling and maintenance of a stratified panel of fixed size Archived
Articles and reports: 12-001-X19970023618
Description:
Statistical agencies often constitute their business panels by Poisson sampling, or by stratified sampling of fixed size and uniform probabilities in each stratum. This stampling corresponds to algorithms which use permanent numbers following a uniform distribution. Since the characteristics of the units change over time, it is necessary to periodically conduct resamplings while endeavouring to conserve the maximum number of units. The solution by Poisson sampling is the simplest and provides the maximum theoretical coverage, but with the disadvantage of a random sample size. On the other hand, in the case of stratified sampling of fixed size, the changes in strata cause difficulties precisely because of these fixed size constraints. An initial difficulty is that the finer the stratification, the more the coverage is decreased. Indeed, this is likely to occur if births constitute separate strata. We show how this effect can be corrected by rendering the numbers equidistant before resampling. The disadvantage, a fairly minor one, is that in each stratum the sampling is no longer a simple random sampling, which makes the estimation of the variance less rigorous. Another difficulty is reconciling the resampling with an eventual rotation of the units in the sample. We present a type of algorithm which extends after resampling the rotation before resampling. It is based on transformations of the random numbers used for the sampling, so as to return to resampling without rotation. These transformations are particularly simple when they involve equidistant numbers, but can also be carried out with the numbers following a uniform distribution.
Release date: 1998-03-12

Reference (1)

Reference (1) ((1 result))

1. Technical Guide on Demographic Estimates at Statistics Canada
Surveys and statistical programs – Documentation: 91-528-X
Description: The Technical Guide on Demographic Estimates at Statistics Canada provides detailed descriptions of the most current data sources and methods used by the Centre for demography at Statistics Canada to produce demographic estimates as part of the Demographic estimates program. They comprise postcensal and intercensal population estimates; base population; births and deaths; immigrants; emigrants; returning emigrants; non-permanent residents; interprovincial migration; subprovincial estimates of population and intraprovincial migration; population estimates by age and gender; and census family estimates. A glossary of commonly used terms is available at the end of the guide.
Release date: 2025-12-17

Date modified:: 2026-08-13