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    • Articles and reports: 75F0002M2023001
      Description: This discussion paper describes the work being achieved and undertaken by Statistics Canada, in partnership with the Treasury Board of Canada Secretariat, the Department of Finance Canada and the Privy Council Office, on developing the Quality of Life Framework for Canada and related outputs, including an online Hub. This is the first paper in a series that will provide updates on the progress of work relating to the Framework.
      Release date: 2023-04-19

    • Articles and reports: 36-28-0001202300100003
      Description: Quality of life and well-being research often involves survey content that is subjective in nature, for example questions pertaining to life satisfaction. Two phenomena impacting responses to self-reported life satisfaction are studied across a range of social surveys: the framing effect, where a respondent’s answer is influenced by the theme of the survey or its content; and the mode effect, where a respondent’s answer is influenced by the method in which survey data is collected (with an interviewer, through an online collection portal, etc.). The objective of this paper is to document the effect that survey collection and survey content have on Canadians’ self-reported satisfaction with their lives. The impact of these effects on life satisfaction responses is measured across three Statistics Canada survey series: the General Social Survey, the Canadian Community Health Survey, and the Canadian Social Survey.
      Release date: 2023-01-25

    • Articles and reports: 11-26-0004
      Description:

      The Canadian Indicator Framework for the Sustainable Development Goals presents the indicators that will be used to track progress on the 31 Government of Canada Ambitions and priorities towards meeting the Sustainable Development Goals in Canada. Data for these indicators are available through the Canadian Indicator Framework for the Sustainable Development Goals Data Hub.

      Release date: 2021-06-22

    • Stats in brief: 11-629-X2019004
      Description:

      This video explains the Necessity and Proportionality Framework, which assesses data sensitivity and gathering in a more integrated way while ensuring the data needs of Canadians are met.

      Release date: 2019-11-26

    • 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
    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 (30)

    Analysis (30) (20 to 30 of 30 results)

    • Articles and reports: 88F0017M2001009
      Geography: Canada
      Description:

      This paper examines the call for an international effort to co-ordinate the measuring of biotechnology so that the ensuing statistics and indicators maintain some level of international comparability.

      Release date: 2001-02-15

    • Articles and reports: 15-204-X19990005495
      Description:

      This chapter examines productivity growth in manufacturing by size of establishment and by whether it is Canadian- or foreign-owned.

      Release date: 2001-02-14

    • Articles and reports: 12-001-X19990024875
      Geography: Canada
      Description:

      Dr. Fellegi considers the challenges facing government statistical agencies and strategies to prepare for these challenges. He first describes the environment of changing information needs and the social, economic and technological developments driving this change. He goes on to describe both internal and external elements of a strategy to meet these evolving needs. Internally, a flexible capacity for survey taking and information gathering must be developed. Externally, contacts must be developed to ensure continuing relevance of statistical programs while maintaining non-political objectivity.

      Release date: 2000-03-01

    • Articles and reports: 11F0019M2000118
      Geography: Canada
      Description:

      This study uses data to study differences in labour productivity gains across domestic and foreign-controlled establishments in the manufacturing sector for the period 1973 to 1993. In doing so, it also examines the extent to which labour productivity differences exist between small and large establishments and across industry sectors and how they have been changing over time.

      The analysis consists of three parts. In the first section, the connection between labour usage and output is examined. This analysis investigates differences in marginal labour propensities for the different subgroups in the short and long-run. Here volatility is seen to be lower for foreign-controlled establishments. The second section examines the difference between the growth in average labour productivity for the same groups. Here foreign-controlled establishments are seen to have the highest growth rates. The third section investigates whether any trend can be found in the rates of growth for large and small, domestic and foreign establishments and finds that these differences have been increasing over time.

      Release date: 2000-03-01

    • Journals and periodicals: 61-526-X
      Geography: Canada
      Description:

      This study investigates the determinants of failure for new Canadian firms. It explores the role that certain factors play in conditioning the likelihood of survival - factors related to industry structure, firm demographics and macroeconomic cycles. It asks whether the determinants of failure are different for new start-ups than for firms that have reached adolescence, and if the magnitude of these differences is economically significant. It examines whether, after controlling for certain influences, failure rates differ across industries and provinces.

      Two themes figure prominently in this analysis. The first is the impact that certain industry characteristics - such as average firm size and concentration - have on the entry/exit process, either through their influence on failure costs or on the intensity of competition. The second centres on how the dimensions of failure evolve over time as new firms gain market experience.

      Release date: 2000-02-16

    • Articles and reports: 88F0006X1999010
      Description:

      This second edition of R&D tax treatment in Canada: a provincial comparison, uses a method developed by the Conference Board of Canada to compare the tax incentives to do research and development (R&D) in each of the provinces. The results contribute to the analysis of regional differences in science and technology activity in Canada, as part of the work of the Science, Innovation and Electronic Information Division of Statistics Canada.

      An example of a regional difference is the tax incentive to do R&D in a province. There is the federal Scientific Research and Experimental Development tax programme, which has regional variations. Six out of ten provinces have their own incentive programmes and tax rates which differ from province to province. The B-Index analysis of the Conference Board provides a means of comparing tax incentives and of providing an indicator.

      Release date: 1999-12-30

    • Articles and reports: 88F0006X1999001
      Description:

      The linkages between university research and its contribution to national and regional economies are not well understood. During the summer of 1998, Statistics Canada conducted a pilot survey of intellectual property (IP) commercialization in the higher education sector to begin to measure some of the contributions. The voluntary questionnaire was sent to 81 universities and degree-granting colleges, of which 74 responded. The results show that most universities participate in a wide variety of activities including identifying, protecting, promoting and commercializing IP.

      Release date: 1999-03-11

    • Articles and reports: 88F0017M1996001
      Geography: Canada
      Description:

      This paper takes stock of the state of the indicators used in the main Organisation for Economic Co-Operation and Development (OECD) countries. It reviews, defines, describes and then briefly evaluates the indicators.

      Release date: 1998-10-30

    • Articles and reports: 11F0019M1997097
      Geography: Canada
      Description:

      A framework for the dynamic analysis of unemployment is presented, and applied to Canadian and U.S. data. The focus of the analysis is upon the distinctionbetween being unemployed and becoming unemployed, that is, between the stock and the flow of unemployment. The share of a particular group in the stock ofunemployed will differ from its share in the flow into unemployment to the extent that the average duration of unemployment for the group differs from the economywide average. An analysis of Canadian and U.S. data leads to a series of stylized facts that permit a deeper understanding of unemployment in the two countries, andof the differences between them. Significant differences in the average duration of unemployment imply that stock shares are not good indicators of flow shares,changes in the stock share of some groups are due to changes in the flow share, while for others they are due to changes in the length of unemployment spells.Explanations of the Canada - U.S. unemployment rate gap should try to accommodate at least three facts uncovered by the analysis: (1) that employer initiatedpermanent separations are the primary means of entry into unemployment in Canada, while labour force entry plays a more important role in the US; (2)unemployment spells are significantly longer in Canada than in the U.S. because of longer spells for most groups regardless of reason for unemployment, not becauseof a compositional difference in the make up of the unemployed; and (3) that longer spell duration and a higher incidence of unemployment contribute about equallyto the trend increase in the Canada - U.S. unemployment differential during the 1980s.

      Release date: 1996-09-30

    • Articles and reports: 11F0019M1995081
      Geography: Canada
      Description:

      Users of socio-economic statistics typically want more and better information. Often, these needs can be met simply by more extensive data collections, subject to usual concerns over financial costs and survey respondent burdens. Users, particularly for public policy purposes, have also expressed a continuing, and as yet unfilled, demand for an integrated and coherent system of socio-economic statistics. In this case, additional data will not be sufficient; the more important constraint is the absence of an agreed conceptual approach.

      In this paper, we briefly review the state of frameworks for social and economic statistics, including the kinds of socio-economic indicators users may want. These indicators are motivated first in general terms from basic principles and intuitive concepts, leaving aside for the moment the practicalities of their construction. We then show how a coherent structure of such indicators might be assembled.

      A key implication is that this structure requires a coordinated network of surveys and data collection processes, and higher data quality standards. This in turn implies a breaking down of the "stovepipe" systems that typify much of the survey work in national statistical agencies (i.e. parallel but generally unrelated data "production lines"). Moreover, the data flowing from the network of surveys must be integrated. Since the data of interest are dynamic, the proposed method goes beyond statistical matching to microsimulation modeling. Finally, these ideas are illustrated with preliminary results from the LifePaths model currently under development in Statistics Canada.

      Release date: 1995-07-30
    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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