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  • 1. The Canadian Immigrant Labour Market: Recent Trends from 2006 to 2017 Archived
    Articles and reports: 71-606-X2018001
    Description:

    This report uses immigrant data series from the Labour Force Survey to provide a description of immigrants' labour-market outcomes, from 2006 to 2017.

    Release date: 2018-12-24
  • 2. The Immigrant Labour Force Analysis Series
    Journals and periodicals: 71-606-X
    Geography: Canada
    Description:

    This series of analytical reports provides an overview of the Canadian labour market experiences of immigrants to Canada, based on data from the Labour Force Survey. These reports examine the labour force characteristics of immigrants, by reporting on employment and unemployment at the Canada level, for the provinces and large metropolitan areas. They also provide more detailed analysis by region of birth, as well as in-depth analysis of other specific aspects of the immigrant labour market.

    Release date: 2018-12-24
  • 3. Financial and Wealth Accounts on a from-whom-to-whom basis: selected financial instruments Archived
    Articles and reports: 13-605-X201800154970
    Description:

    The 2008 financial crisis demonstrated how quickly economic shocks can spread between sectors and countries, making it apparent that the existing set of macroeconomic statistics contained gaps for identifying such systemic issues. Users therefore require new products from the System of National Accounts that demonstrate the financial linkages between sectors in the economy. The Special Data Dissemination Plus (SDDS+) and G20 Data Gaps initiatives were established by the International Monetary Fund (IMF) to address some of these data gaps, and presented specific recommendations to G20 countries. One of these recommendations asks statistical agencies to begin compiling more detailed data on the interconnectedness of the economy by incorporating a "From-Whom-To-Whom" (FWTW) framework. This FWTW framework includes statistics that make counterparty information explicit, showing how various sectors of the economy are connected by financial interdependencies. In other words, the data presented on this new basis allows users to answer the question "whom is funding whom and with what financial instruments". In this visualisation tool, we present six instruments on a FWTW basis in a fully customizable pivot table.

    Release date: 2018-12-21
  • 4. A hundred years and more of statistics acts Archived
    Stats in brief: 89-20-00022018001
    Description:

    This article presents the history of statistical law in Canada.

    Release date: 2018-12-21
  • 5. Variance estimation under monotone non-response for a panel survey Archived
    Articles and reports: 12-001-X201800254952
    Description:

    Panel surveys are frequently used to measure the evolution of parameters over time. Panel samples may suffer from different types of unit non-response, which is currently handled by estimating the response probabilities and by reweighting respondents. In this work, we consider estimation and variance estimation under unit non-response for panel surveys. Extending the work by Kim and Kim (2007) for several times, we consider a propensity score adjusted estimator accounting for initial non-response and attrition, and propose a suitable variance estimator. It is then extended to cover most estimators encountered in surveys, including calibrated estimators, complex parameters and longitudinal estimators. The properties of the proposed variance estimator and of a simplified variance estimator are estimated through a simulation study. An illustration of the proposed methods on data from the ELFE survey is also presented.

    Release date: 2018-12-20
  • 6. Coordination of spatially balanced samples Archived
    Articles and reports: 12-001-X201800254953
    Description:

    Sample coordination seeks to create a probabilistic dependence between the selection of two or more samples drawn from the same population or from overlapping populations. Positive coordination increases the expected sample overlap, while negative coordination decreases it. There are numerous applications for sample coordination with varying objectives. A spatially balanced sample is a sample that is well-spread in some space. Forcing a spread within the selected samples is a general and very efficient variance reduction technique for the Horvitz-Thompson estimator. The local pivotal method and the spatially correlated Poisson sampling are two general schemes for achieving well-spread samples. We aim to introduce coordination for these sampling methods based on the concept of permanent random numbers. The goal is to coordinate such samples while preserving spatial balance. The proposed methods are motivated by examples from forestry, environmental studies, and official statistics.

    Release date: 2018-12-20
  • 7. Using balanced sampling in creel surveys Archived
    Articles and reports: 12-001-X201800254954
    Description:

    These last years, balanced sampling techniques have experienced a recrudescence of interest. They constrain the Horvitz Thompson estimators of the totals of auxiliary variables to be equal, at least approximately, to the corresponding true totals, to avoid the occurrence of bad samples. Several procedures are available to carry out balanced sampling; there is the cube method, see Deville and Tillé (2004), and an alternative, the rejective algorithm introduced by Hájek (1964). After a brief review of these sampling methods, motivated by the planning of an angler survey, we investigate using Monte Carlo simulations, the survey designs produced by these two sampling algorithms.

    Release date: 2018-12-20
  • 8. Sample-based estimation of mean electricity consumption curves for small domains Archived
    Articles and reports: 12-001-X201800254955
    Description:

    Many studies conducted by various electric utilities around the world are based on the analysis of mean electricity consumption curves for various subpopulations, particularly geographic in nature. Those mean curves are estimated from samples of thousands of curves measured at very short intervals over long periods. Estimation for small subpopulations, also called small domains, is a very timely topic in sampling theory.

    In this article, we will examine this problem based on functional data and we will try to estimate the mean curves for small domains. For this, we propose four methods: functional linear regression; modelling the scores of a principal component analysis by unit-level linear mixed models; and two non-parametric estimators, with one based on regression trees and the other on random forests, adapted to the curves. All these methods have been tested and compared using real electricity consumption data for households in France.

    Release date: 2018-12-20
  • 9. Small area estimation for unemployment using latent Markov models Archived
    Articles and reports: 12-001-X201800254956
    Description:

    In Italy, the Labor Force Survey (LFS) is conducted quarterly by the National Statistical Institute (ISTAT) to produce estimates of the labor force status of the population at different geographical levels. In particular, ISTAT provides LFS estimates of employed and unemployed counts for local Labor Market Areas (LMAs). LMAs are 611 sub-regional clusters of municipalities and are unplanned domains for which direct estimates have overly large sampling errors. This implies the need of Small Area Estimation (SAE) methods. In this paper, we develop a new area level SAE method that uses a Latent Markov Model (LMM) as linking model. In LMMs, the characteristic of interest, and its evolution in time, is represented by a latent process that follows a Markov chain, usually of first order. Therefore, areas are allowed to change their latent state across time. The proposed model is applied to quarterly data from the LFS for the period 2004 to 2014 and fitted within a hierarchical Bayesian framework using a data augmentation Gibbs sampler. Estimates are compared with those obtained by the classical Fay-Herriot model, by a time-series area level SAE model, and on the basis of data coming from the 2011 Population Census.

    Release date: 2018-12-20
  • 10. How to decompose the non-response variance: A total survey error approach Archived
    Articles and reports: 12-001-X201800254957
    Description:

    When a linear imputation method is used to correct non-response based on certain assumptions, total variance can be assigned to non-responding units. Linear imputation is not as limited as it seems, given that the most common methods – ratio, donor, mean and auxiliary value imputation – are all linear imputation methods. We will discuss the inference framework and the unit-level decomposition of variance due to non-response. Simulation results will also be presented. This decomposition can be used to prioritize non-response follow-up or manual corrections, or simply to guide data analysis.

    Release date: 2018-12-20
Stats in brief (104)

Stats in brief (104) (60 to 70 of 104 results)

  • 61. Cancer Screening, 2017 Archived
    Stats in brief: 82-625-X201800154977
    Description:

    This is a Health fact sheet about cancer screening among Canadians. The results shown are based on data from the Canadian Community Health Survey.

    Release date: 2018-06-26
  • 62. Functional Difficulties: Washington Group, 2017 Archived
    Stats in brief: 82-625-X201800154978
    Description:

    This is a Health fact sheet about functional difficulties among Canadians aged 18 and older. The results shown are based on data from the Canadian Community Health Survey.

    Release date: 2018-06-26
  • 63. A detailed look at residential properties in Ontario Archived
    Stats in brief: 11-627-M2018017
    Description:

    The second release of data from the Canadian Housing Statistics Program (CHSP) presents demographic characteristics of residential property owners in Ontario. The owner information presented in the analysis is restricted to owners who are individuals, residents of Canada, and solely own one property.

    Release date: 2018-06-25
  • 64. A detailed look at residential properties in British Columbia Archived
    Stats in brief: 11-627-M2018018
    Geography: Province or territory
    Description:

    The second release of data from the Canadian Housing Statistics Program (CHSP) presents demographic characteristics of residential property owners in British Columbia. The owner information presented in the analysis is restricted to owners who are individuals, residents of Canada, and solely own one property.

    Release date: 2018-06-25
  • 65. Annual Aircraft Movements: Small airports - Airports Without NAV CANADA Towers or Flight Service Stations, 2017 Archived
    Stats in brief: 51-004-X2018010
    Description:

    This report presents monthly aircraft movements for Canadian airports without NAV CANADA air traffic control towers or NAV CANADA flight service stations.

    Release date: 2018-06-14
  • 66. First Nations, Métis and Inuit Statistics: The Way Forward Archived
    Stats in brief: 11-631-X2018005
    Description:

    This presentation will highlight available statistical information for First Nations, Métis and Inuit in a wide variety of fields, including education, labour, health, and justice. It will also discuss some of the unique challenges and opportunities in the field of Aboriginal statistics, and how Statistics Canada is working to better represent the lives and conditions of First Nations people, Métis and Inuit.

    Release date: 2018-06-13
  • 67. Canada’s Trade with G7 Countries Archived
    Stats in brief: 11-627-M2018016
    Description:

    Canada assumed the G7 Presidency on January 1st, 2018, and is hosting the annual G7 Summit from June 8-9 in Charlevoix, Quebec.

    To mark this occasion, Statistics Canada has created an infographic to provide an overview of Canada’s trade and investment position with its G7 partners.

    Release date: 2018-06-08
  • 68. Making time for creative activities Archived
    Stats in brief: 11-627-M2018010
    Description:

    The purpose of the 2016 General Social Survey on Canadians at Work and Home is to explore the lifestyle behaviour of Canadians at work and at home. The section on creative activities and hobbies, in the infographic, highlights the proportion of Canadians who actively participate in these activities, the most popular creative pursuits and the characteristics of people who take part in these activities.

    Release date: 2018-06-05
  • 69. Government spending on environmental protection in Canada 2008-2016 Archived
    Stats in brief: 16-508-X2018002
    Description: This factsheet looks at Canadian government expense relating to environmental protection between 2008 and 2016. The data is based on the Canadian Classification of Functions of Government (CCOFOG).
    Release date: 2018-06-05
  • 70. A Canada-U.S. Comparison of Employment and Wages Archived
    Stats in brief: 11-627-M2018013
    Description:

    This infographic provides information on the employment rates and wages of Canadian and American workers aged 25 to 54 who did not have a bachelor’s degree or a higher level of education in 2017.

    Release date: 2018-06-04
Articles and reports (176)

Articles and reports (176) (0 to 10 of 176 results)

  • 1. The Canadian Immigrant Labour Market: Recent Trends from 2006 to 2017 Archived
    Articles and reports: 71-606-X2018001
    Description:

    This report uses immigrant data series from the Labour Force Survey to provide a description of immigrants' labour-market outcomes, from 2006 to 2017.

    Release date: 2018-12-24
  • 2. Financial and Wealth Accounts on a from-whom-to-whom basis: selected financial instruments Archived
    Articles and reports: 13-605-X201800154970
    Description:

    The 2008 financial crisis demonstrated how quickly economic shocks can spread between sectors and countries, making it apparent that the existing set of macroeconomic statistics contained gaps for identifying such systemic issues. Users therefore require new products from the System of National Accounts that demonstrate the financial linkages between sectors in the economy. The Special Data Dissemination Plus (SDDS+) and G20 Data Gaps initiatives were established by the International Monetary Fund (IMF) to address some of these data gaps, and presented specific recommendations to G20 countries. One of these recommendations asks statistical agencies to begin compiling more detailed data on the interconnectedness of the economy by incorporating a "From-Whom-To-Whom" (FWTW) framework. This FWTW framework includes statistics that make counterparty information explicit, showing how various sectors of the economy are connected by financial interdependencies. In other words, the data presented on this new basis allows users to answer the question "whom is funding whom and with what financial instruments". In this visualisation tool, we present six instruments on a FWTW basis in a fully customizable pivot table.

    Release date: 2018-12-21
  • 3. Variance estimation under monotone non-response for a panel survey Archived
    Articles and reports: 12-001-X201800254952
    Description:

    Panel surveys are frequently used to measure the evolution of parameters over time. Panel samples may suffer from different types of unit non-response, which is currently handled by estimating the response probabilities and by reweighting respondents. In this work, we consider estimation and variance estimation under unit non-response for panel surveys. Extending the work by Kim and Kim (2007) for several times, we consider a propensity score adjusted estimator accounting for initial non-response and attrition, and propose a suitable variance estimator. It is then extended to cover most estimators encountered in surveys, including calibrated estimators, complex parameters and longitudinal estimators. The properties of the proposed variance estimator and of a simplified variance estimator are estimated through a simulation study. An illustration of the proposed methods on data from the ELFE survey is also presented.

    Release date: 2018-12-20
  • 4. Coordination of spatially balanced samples Archived
    Articles and reports: 12-001-X201800254953
    Description:

    Sample coordination seeks to create a probabilistic dependence between the selection of two or more samples drawn from the same population or from overlapping populations. Positive coordination increases the expected sample overlap, while negative coordination decreases it. There are numerous applications for sample coordination with varying objectives. A spatially balanced sample is a sample that is well-spread in some space. Forcing a spread within the selected samples is a general and very efficient variance reduction technique for the Horvitz-Thompson estimator. The local pivotal method and the spatially correlated Poisson sampling are two general schemes for achieving well-spread samples. We aim to introduce coordination for these sampling methods based on the concept of permanent random numbers. The goal is to coordinate such samples while preserving spatial balance. The proposed methods are motivated by examples from forestry, environmental studies, and official statistics.

    Release date: 2018-12-20
  • 5. Using balanced sampling in creel surveys Archived
    Articles and reports: 12-001-X201800254954
    Description:

    These last years, balanced sampling techniques have experienced a recrudescence of interest. They constrain the Horvitz Thompson estimators of the totals of auxiliary variables to be equal, at least approximately, to the corresponding true totals, to avoid the occurrence of bad samples. Several procedures are available to carry out balanced sampling; there is the cube method, see Deville and Tillé (2004), and an alternative, the rejective algorithm introduced by Hájek (1964). After a brief review of these sampling methods, motivated by the planning of an angler survey, we investigate using Monte Carlo simulations, the survey designs produced by these two sampling algorithms.

    Release date: 2018-12-20
  • 6. Sample-based estimation of mean electricity consumption curves for small domains Archived
    Articles and reports: 12-001-X201800254955
    Description:

    Many studies conducted by various electric utilities around the world are based on the analysis of mean electricity consumption curves for various subpopulations, particularly geographic in nature. Those mean curves are estimated from samples of thousands of curves measured at very short intervals over long periods. Estimation for small subpopulations, also called small domains, is a very timely topic in sampling theory.

    In this article, we will examine this problem based on functional data and we will try to estimate the mean curves for small domains. For this, we propose four methods: functional linear regression; modelling the scores of a principal component analysis by unit-level linear mixed models; and two non-parametric estimators, with one based on regression trees and the other on random forests, adapted to the curves. All these methods have been tested and compared using real electricity consumption data for households in France.

    Release date: 2018-12-20
  • 7. Small area estimation for unemployment using latent Markov models Archived
    Articles and reports: 12-001-X201800254956
    Description:

    In Italy, the Labor Force Survey (LFS) is conducted quarterly by the National Statistical Institute (ISTAT) to produce estimates of the labor force status of the population at different geographical levels. In particular, ISTAT provides LFS estimates of employed and unemployed counts for local Labor Market Areas (LMAs). LMAs are 611 sub-regional clusters of municipalities and are unplanned domains for which direct estimates have overly large sampling errors. This implies the need of Small Area Estimation (SAE) methods. In this paper, we develop a new area level SAE method that uses a Latent Markov Model (LMM) as linking model. In LMMs, the characteristic of interest, and its evolution in time, is represented by a latent process that follows a Markov chain, usually of first order. Therefore, areas are allowed to change their latent state across time. The proposed model is applied to quarterly data from the LFS for the period 2004 to 2014 and fitted within a hierarchical Bayesian framework using a data augmentation Gibbs sampler. Estimates are compared with those obtained by the classical Fay-Herriot model, by a time-series area level SAE model, and on the basis of data coming from the 2011 Population Census.

    Release date: 2018-12-20
  • 8. How to decompose the non-response variance: A total survey error approach Archived
    Articles and reports: 12-001-X201800254957
    Description:

    When a linear imputation method is used to correct non-response based on certain assumptions, total variance can be assigned to non-responding units. Linear imputation is not as limited as it seems, given that the most common methods – ratio, donor, mean and auxiliary value imputation – are all linear imputation methods. We will discuss the inference framework and the unit-level decomposition of variance due to non-response. Simulation results will also be presented. This decomposition can be used to prioritize non-response follow-up or manual corrections, or simply to guide data analysis.

    Release date: 2018-12-20
  • 9. Measuring uncertainty associated with model-based small area estimators Archived
    Articles and reports: 12-001-X201800254958
    Description:

    Domains (or subpopulations) with small sample sizes are called small areas. Traditional direct estimators for small areas do not provide adequate precision because the area-specific sample sizes are small. On the other hand, demand for reliable small area statistics has greatly increased. Model-based indirect estimators of small area means or totals are currently used to address difficulties with direct estimation. These estimators are based on linking models that borrow information across areas to increase the efficiency. In particular, empirical best (EB) estimators under area level and unit level linear regression models with random small area effects have received a lot of attention in the literature. Model mean squared error (MSE) of EB estimators is often used to measure the variability of the estimators. Linearization-based estimators of model MSE as well as jackknife and bootstrap estimators are widely used. On the other hand, National Statistical Agencies are often interested in estimating the design MSE of EB estimators in line with traditional design MSE estimators associated with direct estimators for large areas with adequate sample sizes. Estimators of design MSE of EB estimators can be obtained for area level models but they tend to be unstable when the area sample size is small. Composite MSE estimators are proposed in this paper and they are obtained by taking a weighted sum of the design MSE estimator and the model MSE estimator. Properties of the MSE estimators under the area level model are studied in terms of design bias, relative root mean squared error and coverage rate of confidence intervals. The case of a unit level model is also examined under simple random sampling within each area. Results of a simulation study show that the proposed composite MSE estimators provide a good compromise in estimating the design MSE.

    Release date: 2018-12-20
  • 10. Optimizing a mixed allocation Archived
    Articles and reports: 12-001-X201800254959
    Description:

    This article proposes a criterion for calculating the trade-off in so-called “mixed” allocations, which combine two classic allocations in sampling theory. In INSEE (National Institute of Statistics and Economic Studies) business surveys, it is common to use the arithmetic mean of a proportional allocation and a Neyman allocation (corresponding to a trade-off of 0.5). It is possible to obtain a trade-off value resulting in better properties for the estimators. This value belongs to a region that is obtained by solving an optimization program. Different methods for calculating the trade-off will be presented. An application for business surveys is presented, as well as a comparison with other usual trade-off allocations.

    Release date: 2018-12-20
Journals and periodicals (7)

Journals and periodicals (7) ((7 results))

  • 1. The Immigrant Labour Force Analysis Series
    Journals and periodicals: 71-606-X
    Geography: Canada
    Description:

    This series of analytical reports provides an overview of the Canadian labour market experiences of immigrants to Canada, based on data from the Labour Force Survey. These reports examine the labour force characteristics of immigrants, by reporting on employment and unemployment at the Canada level, for the provinces and large metropolitan areas. They also provide more detailed analysis by region of birth, as well as in-depth analysis of other specific aspects of the immigrant labour market.

    Release date: 2018-12-24
  • 2. Health Research Working Paper Series
    Journals and periodicals: 82-622-X
    Geography: Canada
    Description:

    The Health Research Working Paper Series publishes: analytical work-in-progress; background documentation for specific research projects (e.g methodological papers); lengthy reports intended for specific clients, and; compendiums of data tables. Publication in this series does not preclude publication of specific aspects of the work in a peer-reviewed journal.

    Release date: 2018-12-14
  • 3. Standing on the shoulders of giants History of Statistics Canada: 1970 to 2008
    Journals and periodicals: 89-20-0001
    Description:

    Historical works allow readers to peer into the past, not only to satisfy our curiosity about “the way things were,” but also to see how far we’ve come, and to learn from the past. For Statistics Canada, such works are also opportunities to commemorate the agency’s contributions to Canada and its people, and serve as a reminder that an institution such as this continues to evolve each and every day.

    On the occasion of Statistics Canada’s 100th anniversary in 2018, Standing on the shoulders of giants: History of Statistics Canada: 1970 to 2008, builds on the work of two significant publications on the history of the agency, picking up the story in 1970 and carrying it through the next 36 years, until 2008. To that end, when enough time has passed to allow for sufficient objectivity, it will again be time to document the agency’s next chapter as it continues to tell Canada’s story in numbers.

    Release date: 2018-12-03
  • 4. Provincial and Territorial Economic Accounts Review
    Journals and periodicals: 13-016-X
    Geography: Province or territory
    Description: This publication presents an overview of recent economic developments in the provinces and territories. The overview covers several broad areas: 1) gross domestic product (GDP) by income and by expenditure, 2) GDP by industry, 3) labour productivity and other related variables.

    The publication examines trends in the major aggregates that comprise GDP, both income- and expenditure-based, as well as prices and the financing of economic activity by institutional sector. GDP is also examined by industry. The productivity estimates are meant to assist in the analysis of the short-run relationship among the fluctuations of output, employment, compensation and hours worked. Some issues also contain more technical articles, explaining national accounts methodology or analysing a particular aspect of the economy.

    This publication carries the detailed analyses, charts and statistical tables that, prior to its first issue, were released in The Daily (11-001-XIE) under the headings Provincial Economic Accounts and Provincial Gross Domestic Product by industry.

    Release date: 2018-11-08
  • 5. Women in Canada: A Gender-based Statistical Report
    Journals and periodicals: 89-503-X
    Description:

    Understanding the role of women in Canadian society and how it has changed over time is dependent on having information that can begin to shed light on the diverse circumstances and experiences of women. Women in Canada provides an unparalleled compilation of data related to women's family status, education, employment, economic well-being, unpaid work, health, and more.

    Women in Canada allows readers to better understand the experience of women compared to that of men. Recognizing that women are not a homogenous group and that experiences differ not only across gender but also within gender groups, Women in Canada includes chapters on immigrant women, women in a visible minority, Aboriginal women, senior women, and women with participation and activity limitations.

    Release date: 2018-07-30
  • 6. Concentrations of selected environmental chemicals in the Canadian population
    Journals and periodicals: 82-627-X
    Description:

    The publication provides data users, health professionals and individual Canadians with geometric means and selected percentiles of blood and urine concentrations of selected environmental chemicals for the Canadian population by sex and age group. The results presented in this publication were collected during cycle 4 of the Canadian Health Measures Survey from January 2014 to December 2015.

    Release date: 2018-02-22
  • 7. Canadian Megatrends
    Journals and periodicals: 11-630-X
    Description: In 2018, Statistics Canada will celebrate its 100th anniversary. As we count down to this important milestone, we would like to use our data to highlight some of the sweeping changes that have had a lasting impact on Canadian society and economy.
    Release date: 2018-02-21
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