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  • Journals and periodicals: 57-602-G
    Description:

    The objective of this document is to present a proposed Statistical Framework for Energy in Canada, which will help guide data providers and users in the development of a strategic plan for addressing priority elements of the proposed framework.

    The framework is intended to apply to energy statistics in Canada in general, with application across a broad range of stakeholders involved in the collection, dissemination and use of energy statistics, including provincial and territorial administrative and statistical agencies.

    Release date: 2016-02-19

  • Articles and reports: 12-001-X201500114149
    Description:

    This paper introduces a general framework for deriving the optimal inclusion probabilities for a variety of survey contexts in which disseminating survey estimates of pre-established accuracy for a multiplicity of both variables and domains of interest is required. The framework can define either standard stratified or incomplete stratified sampling designs. The optimal inclusion probabilities are obtained by minimizing costs through an algorithm that guarantees the bounding of sampling errors at the domains level, assuming that the domain membership variables are available in the sampling frame. The target variables are unknown, but can be predicted with suitable super-population models. The algorithm takes properly into account this model uncertainty. Some experiments based on real data show the empirical properties of the algorithm.

    Release date: 2015-06-29

  • Articles and reports: 12-001-X201500114160
    Description:

    Composite estimation is a technique applicable to repeated surveys with controlled overlap between successive surveys. This paper examines the modified regression estimators that incorporate information from previous time periods into estimates for the current time period. The range of modified regression estimators are extended to the situation of business surveys with survey frames that change over time, due to the addition of “births” and the deletion of “deaths”. Since the modified regression estimators can deviate from the generalized regression estimator over time, it is proposed to use a compromise modified regression estimator, a weighted average of the modified regression estimator and the generalised regression estimator. A Monte Carlo simulation study shows that the proposed compromise modified regression estimator leads to significant efficiency gains in both the point-in-time and movement estimates.

    Release date: 2015-06-29

  • Articles and reports: 12-001-X201500114173
    Description:

    Nonresponse is present in almost all surveys and can severely bias estimates. It is usually distinguished between unit and item nonresponse. By noting that for a particular survey variable, we just have observed and unobserved values, in this work we exploit the connection between unit and item nonresponse. In particular, we assume that the factors that drive unit response are the same as those that drive item response on selected variables of interest. Response probabilities are then estimated using a latent covariate that measures the will to respond to the survey and that can explain a part of the unknown behavior of a unit to participate in the survey. This latent covariate is estimated using latent trait models. This approach is particularly relevant for sensitive items and, therefore, can handle non-ignorable nonresponse. Auxiliary information known for both respondents and nonrespondents can be included either in the latent variable model or in the response probability estimation process. The approach can also be used when auxiliary information is not available, and we focus here on this case. We propose an estimator using a reweighting system based on the previous latent covariate when no other observed auxiliary information is available. Results on its performance are encouraging from simulation studies on both real and simulated data.

    Release date: 2015-06-29

  • Surveys and statistical programs – Documentation: 68-515-X
    Description:

    This overview document describes the conceptual underpinnings of the Integrated Business Statistics Program and explains how program components facilitate a more integrated approach to economic surveying at Statistics Canada.

    Release date: 2015-06-17

  • Surveys and statistical programs – Documentation: 87-542-X2011001
    Geography: Canada
    Description:

    The first issue of the series presents the Conceptual Framework for Culture Statistics 2011, a revision of the 2004 Canadian Framework for Culture Statistics.

    The conceptual framework contains an official statistical definition of culture and describes a set of culture domains that can be used to measure culture from creation to use.

    Release date: 2011-10-24

  • Surveys and statistical programs – Documentation: 87-542-X2011002
    Geography: Canada
    Description:

    The second issue of this series is a companion piece to the Conceptual Framework for Culture Statistics 2011, a revision to the 2004 Canadian Framework for Culture Statistics.

    The guide maps the 2011 Canadian framework for culture statistics to the following Statistics Canada's standard classification systems: the North American Industry Classification System (NAICS) 2007, the North American Product Classification System (NAPCS) - Canada (Provisional Version 0.1), National Occupational Classification - Statistics (NOC-S) 2006 and Classification of Instructional Programs (CIP), Canada, 2000.

    It contains explanations, definitions and examples of how the classification codes are mapped to the conceptual framework. It also contains a series of tables that contain codes, by classification system, which help illustrate the framework domains and sub-domains, and flags those codes that do not map well to the framework.

    Release date: 2011-10-24

  • Articles and reports: 12-001-X201000211379
    Description:

    The number of people recruited by firms in Local Labour Market Areas provides an important indicator of the reorganisation of the local productive processes. In Italy, this parameter can be estimated using the information collected in the Excelsior survey, although it does not provide reliable estimates for the domains of interest. In this paper we propose a multivariate small area estimation approach for count data based on the Multivariate Poisson-Log Normal distribution. This approach will be used to estimate the number of firm recruits both replacing departing employees and filling new positions. In the small area estimation framework, it is customary to assume that sampling variances and covariances are known. However, both they and the direct point estimates suffer from instability. Due to the rare nature of the phenomenon we are analysing, counts in some domains are equal to zero, and this produces estimates of sampling error covariances equal to zero. To account for the extra variability due to the estimated sampling covariance matrix, and to deal with the problem of unreasonable estimated variances and covariances in some domains, we propose an "integrated" approach where we jointly model the parameters of interest and the sampling error covariance matrices. We suggest a solution based again on the Poisson-Log Normal distribution to smooth variances and covariances. The results we obtain are encouraging: the proposed small area estimation model shows a better fit when compared to the Multivariate Normal-Normal (MNN) small area model, and it allows for a non-negligible increase in efficiency.

    Release date: 2010-12-21

  • Articles and reports: 85-561-M2010021
    Geography: Canada
    Description:

    While trafficking in persons has become a worldwide concern, current data collection activities reveal that data are limited in scope, incomparable and insufficient to ascertain the true extent of the problem in Canada. This study was conducted by the Canadian Centre for Justice Statistics and funded by Public Safety and Emergency Preparedness Canada to examine the feasibility of developing a national data collection framework to measure trafficking in persons in Canada. Consultations were undertaken with key stakeholders from provincial and federal government departments, the police community, non-government organizations and academics. This report identifies a number of data collection and research strategies that could contribute to a better understanding of the nature and scope of human trafficking in Canada.

    Release date: 2010-06-10

  • Table: 82-401-X
    Geography: Province or territory
    Description:

    This Internet publication presents comparable health indicators for Canada, the provinces and territories. Indicators have been jointly selected by provincial and territorial health ministries, and Health Canada. Comparable Health Indicators address primary health care, home care, other programs and services, catastrophic drug coverage and pharmaceutical management, diagnostic and medical equipment, health human resources and healthy Canadians.

    Release date: 2009-05-25
Data (2)

Data (2) ((2 results))

  • Table: 82-401-X
    Geography: Province or territory
    Description:

    This Internet publication presents comparable health indicators for Canada, the provinces and territories. Indicators have been jointly selected by provincial and territorial health ministries, and Health Canada. Comparable Health Indicators address primary health care, home care, other programs and services, catastrophic drug coverage and pharmaceutical management, diagnostic and medical equipment, health human resources and healthy Canadians.

    Release date: 2009-05-25

  • Table: 89F0093X
    Geography: Canada
    Description:

    This document provides some principal findings of Reading the future: a portrait of literacy in Canada (catalogue no. 89-551-XPE); for example, literacy skills by province, educational attainment, immigrants, age, occupation and unemployment.

    Release date: 1997-09-08
Analysis (26)

Analysis (26) (0 to 10 of 26 results)

  • Journals and periodicals: 57-602-G
    Description:

    The objective of this document is to present a proposed Statistical Framework for Energy in Canada, which will help guide data providers and users in the development of a strategic plan for addressing priority elements of the proposed framework.

    The framework is intended to apply to energy statistics in Canada in general, with application across a broad range of stakeholders involved in the collection, dissemination and use of energy statistics, including provincial and territorial administrative and statistical agencies.

    Release date: 2016-02-19

  • Articles and reports: 12-001-X201500114149
    Description:

    This paper introduces a general framework for deriving the optimal inclusion probabilities for a variety of survey contexts in which disseminating survey estimates of pre-established accuracy for a multiplicity of both variables and domains of interest is required. The framework can define either standard stratified or incomplete stratified sampling designs. The optimal inclusion probabilities are obtained by minimizing costs through an algorithm that guarantees the bounding of sampling errors at the domains level, assuming that the domain membership variables are available in the sampling frame. The target variables are unknown, but can be predicted with suitable super-population models. The algorithm takes properly into account this model uncertainty. Some experiments based on real data show the empirical properties of the algorithm.

    Release date: 2015-06-29

  • Articles and reports: 12-001-X201500114160
    Description:

    Composite estimation is a technique applicable to repeated surveys with controlled overlap between successive surveys. This paper examines the modified regression estimators that incorporate information from previous time periods into estimates for the current time period. The range of modified regression estimators are extended to the situation of business surveys with survey frames that change over time, due to the addition of “births” and the deletion of “deaths”. Since the modified regression estimators can deviate from the generalized regression estimator over time, it is proposed to use a compromise modified regression estimator, a weighted average of the modified regression estimator and the generalised regression estimator. A Monte Carlo simulation study shows that the proposed compromise modified regression estimator leads to significant efficiency gains in both the point-in-time and movement estimates.

    Release date: 2015-06-29

  • Articles and reports: 12-001-X201500114173
    Description:

    Nonresponse is present in almost all surveys and can severely bias estimates. It is usually distinguished between unit and item nonresponse. By noting that for a particular survey variable, we just have observed and unobserved values, in this work we exploit the connection between unit and item nonresponse. In particular, we assume that the factors that drive unit response are the same as those that drive item response on selected variables of interest. Response probabilities are then estimated using a latent covariate that measures the will to respond to the survey and that can explain a part of the unknown behavior of a unit to participate in the survey. This latent covariate is estimated using latent trait models. This approach is particularly relevant for sensitive items and, therefore, can handle non-ignorable nonresponse. Auxiliary information known for both respondents and nonrespondents can be included either in the latent variable model or in the response probability estimation process. The approach can also be used when auxiliary information is not available, and we focus here on this case. We propose an estimator using a reweighting system based on the previous latent covariate when no other observed auxiliary information is available. Results on its performance are encouraging from simulation studies on both real and simulated data.

    Release date: 2015-06-29

  • Articles and reports: 12-001-X201000211379
    Description:

    The number of people recruited by firms in Local Labour Market Areas provides an important indicator of the reorganisation of the local productive processes. In Italy, this parameter can be estimated using the information collected in the Excelsior survey, although it does not provide reliable estimates for the domains of interest. In this paper we propose a multivariate small area estimation approach for count data based on the Multivariate Poisson-Log Normal distribution. This approach will be used to estimate the number of firm recruits both replacing departing employees and filling new positions. In the small area estimation framework, it is customary to assume that sampling variances and covariances are known. However, both they and the direct point estimates suffer from instability. Due to the rare nature of the phenomenon we are analysing, counts in some domains are equal to zero, and this produces estimates of sampling error covariances equal to zero. To account for the extra variability due to the estimated sampling covariance matrix, and to deal with the problem of unreasonable estimated variances and covariances in some domains, we propose an "integrated" approach where we jointly model the parameters of interest and the sampling error covariance matrices. We suggest a solution based again on the Poisson-Log Normal distribution to smooth variances and covariances. The results we obtain are encouraging: the proposed small area estimation model shows a better fit when compared to the Multivariate Normal-Normal (MNN) small area model, and it allows for a non-negligible increase in efficiency.

    Release date: 2010-12-21

  • Articles and reports: 85-561-M2010021
    Geography: Canada
    Description:

    While trafficking in persons has become a worldwide concern, current data collection activities reveal that data are limited in scope, incomparable and insufficient to ascertain the true extent of the problem in Canada. This study was conducted by the Canadian Centre for Justice Statistics and funded by Public Safety and Emergency Preparedness Canada to examine the feasibility of developing a national data collection framework to measure trafficking in persons in Canada. Consultations were undertaken with key stakeholders from provincial and federal government departments, the police community, non-government organizations and academics. This report identifies a number of data collection and research strategies that could contribute to a better understanding of the nature and scope of human trafficking in Canada.

    Release date: 2010-06-10

  • Articles and reports: 12-001-X200700210493
    Description:

    In this paper, we study the problem of variance estimation for a ratio of two totals when marginal random hot deck imputation has been used to fill in missing data. We consider two approaches to inference. In the first approach, the validity of an imputation model is required. In the second approach, the validity of an imputation model is not required but response probabilities need to be estimated, in which case the validity of a nonresponse model is required. We derive variance estimators under two distinct frameworks: the customary two-phase framework and the reverse framework.

    Release date: 2008-01-03

  • Articles and reports: 82-003-S200700010361
    Description:

    This article summarizes the background, history and rationale for the Canadian Health Measures Survey, and provides an overview of the objectives, methods and analysis plans.

    Release date: 2007-12-05

  • Articles and reports: 11-522-X20050019453
    Description:

    The UK's Office for National Statistics (ONS) is starting a development programme for business surveys to meet the recommendations of a recent government report calling for improvements to economic statistics, in particular regional economic statistics.

    Release date: 2007-03-02

  • Articles and reports: 11-522-X20050019454
    Geography: Canada
    Description:

    The goal of the BR Redesign Project is to simplify, optimize, and harmonize its processes and methods. This paper provides an overview of the BR Redesign with emphasis on the issues that affect the methodology of business surveys.

    Release date: 2007-03-02
Reference (8)

Reference (8) ((8 results))

  • Surveys and statistical programs – Documentation: 68-515-X
    Description:

    This overview document describes the conceptual underpinnings of the Integrated Business Statistics Program and explains how program components facilitate a more integrated approach to economic surveying at Statistics Canada.

    Release date: 2015-06-17

  • Surveys and statistical programs – Documentation: 87-542-X2011001
    Geography: Canada
    Description:

    The first issue of the series presents the Conceptual Framework for Culture Statistics 2011, a revision of the 2004 Canadian Framework for Culture Statistics.

    The conceptual framework contains an official statistical definition of culture and describes a set of culture domains that can be used to measure culture from creation to use.

    Release date: 2011-10-24

  • Surveys and statistical programs – Documentation: 87-542-X2011002
    Geography: Canada
    Description:

    The second issue of this series is a companion piece to the Conceptual Framework for Culture Statistics 2011, a revision to the 2004 Canadian Framework for Culture Statistics.

    The guide maps the 2011 Canadian framework for culture statistics to the following Statistics Canada's standard classification systems: the North American Industry Classification System (NAICS) 2007, the North American Product Classification System (NAPCS) - Canada (Provisional Version 0.1), National Occupational Classification - Statistics (NOC-S) 2006 and Classification of Instructional Programs (CIP), Canada, 2000.

    It contains explanations, definitions and examples of how the classification codes are mapped to the conceptual framework. It also contains a series of tables that contain codes, by classification system, which help illustrate the framework domains and sub-domains, and flags those codes that do not map well to the framework.

    Release date: 2011-10-24

  • Surveys and statistical programs – Documentation: 13-604-M2007052
    Description:

    This Canadian Tourism Satellite Account Handbook developed by Statistics Canada is intended as a guide to how the Canadian Tourism Satellite Account (CTSA) is compiled. The Tourism Satellite Account (TSA) has become the internationally recognized framework and a vital tool by which to measure tourism activity in an economy. The goal of this handbook is to make the CTSA and its inner workings as transparent as possible by bringing previous internal documentation into the public realm along side previously published documents and new documentation. By sharing the Canadian practical experiences in development of the TSA, it should benefit other countries and other interested practitioners in the process of developing and understanding TSAs.

    This handbook covers information on the relevant tourism and national accounting concepts and definitions related to the CTSA. Detailed explanations of the various survey data sources and the methods used to move this data into the TSA framework are discussed.

    Release date: 2007-12-14

  • Surveys and statistical programs – Documentation: 81-595-M2007056
    Geography: Canada
    Description:

    This handbook discusses the collection and interpretation of statistical data on Canada's trade in culture services.

    Release date: 2007-10-31

  • Surveys and statistical programs – Documentation: 81-595-M2004021
    Geography: Canada
    Description:

    This paper presents a conceptual basis for defining culture using Statistics Canada's classification systems. The 2004 Canadian Framework for Culture Statistics has been revised. A new publication series on the Canadian Framework for Culture Statistics 2011 (Catalogue 87-542-X) is now available.

    Release date: 2004-08-23

  • Surveys and statistical programs – Documentation: 81-588-X
    Description:

    The Youth in Transition Survey (YITS) is a longitudinal survey designed to provide policy-relevant information about school-work transitions and factors influencing pathways. YITS will provide vehicle for future research and analysis of major transitions in young people's lives, particularly those between education, training and work. Information obtained from, and research based on, the survey will help clarify the nature and causes of short and long-term challenges young people face in school-work transitions and support policy planning and decision making to help prevent or remedy these problems.

    Objectives of the Youth in Transition Survey were developed after an extensive consultation with stakeholders with an interest in youth and school-work transitions. Content includes measurement of major transitions in young people's lives including virtually all formal educational experiences and most labour-market experiences. Factors influencing transitions are also included family background, school experiences, achievement, aspirations and expectations, and employment experiences.

    The implementation plan encompasses a longitudinal survey for each of two age cohorts, to be surveyed every two years. Data from a cohort entering at age 15 will permit analysis of long-term school-work transition patterns. Data from a cohort entering at ages18-20 will provide more immediate, policy-relevant information on young adults in the labour market.

    Cycle one for the cohort aged 15 will include information collected from youth, their parents, and school principals. The sample design is a school-based frame that allows the selection of schools, and then individuals within schools. This design will permit analysis of school effects, a research domain not currently addressed by other Statistics Canada surveys. Methods of data collection include a self-completed questionnaire for youth and school principals, a telephone interview with parents, and assessment of youth competency in reading, science and mathematics as using self-completed test booklets provided under the integration of YITS with the OECD Programme for International Student Assessment (PISA). A pilot survey was conducted in April 1999 and the main survey took place in April-May 2000. Interviews were conducted with 30,000 students aged 15 from 1,000 schools in Canada. A telephone interview with parents of selected students took place in June 2000.

    The sample design for the cohort aged 18-20 is similar to that of the Labour-Force survey. The method of data collection is computer-assisted telephone interviewing. The pilot survey was conducted in January 1999. In January-February 2000, 23, 000 youth participated in the main survey data collection.

    Data from both cohorts is expected to be available in 2001. Following release of the first international report by the OECD/PISA project and the first national report, data will be publically available, permitting detailed exploration of content themes.

    Release date: 2001-04-11

  • Surveys and statistical programs – Documentation: 15F0077G
    Description:

    This publication provides a description of the data sources and methods used to compile the input-output tables at constant prices. It includes a brief description of the accounting framework, an overview of the methods used for the major components of the tables and an outline of the techniques applied to each group of goods and services. It also distinguishes between the derivation of the gross domestic product by industry for the business sector and that of the non-business sector. Finally, it discusses some of the critical contemporary issues that are being addressed at the time of writing.

    Release date: 2001-02-15
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