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  • Surveys and statistical programs – Documentation: 13-606-G201600114621
    Description:

    An explanation of the structure and concepts of Canada’s financial flow and national balance sheet accounts.

    Release date: 2016-11-30

  • Surveys and statistical programs – Documentation: 16-509-X
    Description:

    The Methodological Guide: Canadian System of Environmental-Economic Accounting provides readers with information on environmental-economic accounts at Statistics Canada. It provides links to produced data and publications and describes the concepts, sources, and methods used to compile them. Topics include ecosystem accounting, asset accounts (natural resources in physical and monetary terms), physical flow accounts (energy and water use, and waste and greenhouse gas emissions), environmental activity statistics (expenditures on environmental protection), and the applications and extensions of those accounts (attribution of physical flows to final demand and intensity measures).

    This user's guide has been developed by the Environmental Statistics Program to facilitate access to environmental-economic accounting information throughout Statistics Canada and to explain its linkage with international standards, the United Nations System of Environmental-Economic Accounting. This guide is continually being updated to maintain its relevance.

    Release date: 2016-04-22

  • Surveys and statistical programs – Documentation: 21F0005G
    Description:

    The Whole Farm Data Base (WFDB) is the product of a joint venture between Agriculture and Agri-Food Canada and Statistics Canada. It was developed with the intention to meet the increasing demands of users of agricultural statistics for more disaggregated data at the whole farm level. The WFDB provides the means for users to evaluate agricultural policies and programs as well as analyze the viability, stability, and competitiveness of various farm businesses.

    Integrating into one base the agricultural data, which are available from administrative and survey sources, is the essence of the WFDB. It can offer users access to a wider than ever range of disaggregated physical and financial data at the farm level.

    This reference manual will familiarize potential users of the WFDB with the structure of the data base and the quality of the data and give a description of the WFDB products and services that are currently available.

    Release date: 2011-12-23

  • Surveys and statistical programs – Documentation: 15-206-X2008018
    Description:

    Official data from statistical agencies are not always ideal for cross-country comparisons because of differences in data sources and methodology. Analysts who engage in cross-country comparisons need to carefully choose among alternatives and sometimes adapt data especially for their purposes. This paper develops comparable capital stock estimates to examine the relative capital intensity of Canada and the United States.

    To do so, the paper applies common depreciation rates to Canadian and U.S. assets to come up with comparable capital stock estimates by assets and by industry between the two countries. Based on common depreciation rates, it finds that capital intensity is higher in the Canadian business sector than in the U.S. business sector. This is the net result of quite different ratios at the individual asset level. Canada has as higher intensity of engineering infrastructure assets per dollar of gross domestic product produced. Canada has a lower intensity of information and communications technology (ICT) machinery and equipment (M&E). Non-ICT M&E and building assets intensities are more alike in the two countries.

    However, these results do not control for the fact that different asset-specific capital intensities between Canada and the United States may be the result of a different industrial structure. When both assets and industry structure are taken into account, the overall picture changes somewhat. Canada's business sector continues to have a higher intensity of engineering infrastructure and about the same intensity of building assets; however, it has a deficit in M&E that goes beyond ICT assets.

    Release date: 2008-07-10

  • Surveys and statistical programs – Documentation: 15-206-X2008016
    Description:

    This paper focuses on the role of investments in infrastructure in Canada. The size of infrastructure investments relative to other capital stock sets this country apart from most other Organisation for Economic Co-operation and Development countries. The paper reviews the approaches taken by other researchers to define infrastructure. It then outlines a taxonomy to define those assets that should be considered as infrastructure and that can be used to assess the importance of different types of capital investments. It briefly considers how to define the portion of infrastructure that should be considered 'public'. The final two parts of the paper apply the proposed classification system to data on Canada's capital stock, and ask the following questions: how much infrastructure does Canada have and in which sectors of the economy is this infrastructure located? Finally, the paper investigates how Canada's infrastructure has evolved over the last four decades, both in the commercial and non-commercial sectors, and compares these trends with the pattern that can be found in the United States.

    Release date: 2008-03-12

  • Surveys and statistical programs – Documentation: 13F0026M2007001
    Description:

    This guide will be of assistance when using the public use microdata file (PUMF) of the Survey of Financial Security (SFS) conducted by the Pensions and Wealth Surveys Section of the Income Statistics Division.

    Release date: 2007-09-04

  • Surveys and statistical programs – Documentation: 15-206-X2007005
    Description:

    This paper generates depreciation profiles for a diverse set of assets based on patterns of resale prices and retirements. In doing so, it explores the sensitivity of estimates of the growth in capital stock and capital services to alternate estimates of depreciation.

    In the first instance, survival analysis techniques are used to estimate changes in valuation of assets over the course of their service life. In the second instance, a two-step procedure is utilized that first estimates the discard function for used assets (assets discarded at zero prices) and then uses the resulting estimates to correct for selection bias that arises when just positive used-asset prices are employed to estimate age-price profiles to produce depreciation rates. For the third method, a discard function and an asset efficiency function are jointly specified and estimated.

    These three different methods produce depreciation profiles that follow convex patterns. Accelerated profiles are apparent for many individual assets in the machinery and equipment and structures classes.

    We also compare the ex post estimates of length of life that are based on outcomes to ex ante expected lives and find they are much the same. We therefore choose ex ante lives along with information from the ex post rates on the rate of decline in an asset's value to generate a set of depreciation rates for use in the productivity accounts.

    We then use our depreciation model to produce estimates of the growth in capital stock and capital services over the 1961 to 1996 period. We find that the resulting estimates of capital stock and capital services are quite similar to those previously produced.

    Release date: 2007-02-12

  • Surveys and statistical programs – Documentation: 13F0026M2003001
    Description:

    This guide will be of assistance in understanding the concepts, methodology and data quality of the surveys conducted as well as the data analysed by the Pensions and Wealth Surveys Section of the Income Statistics Division. It covers the following surveys/programs:- Pension Plans in Canada;- Trusteed Pension Funds (Census and Quarterly);- Survey of Financial Security; and- Pension adjustment/registered retirement savings plans data file provided by Canada Customs and Revenue Agency.

    Release date: 2003-02-14

  • Surveys and statistical programs – Documentation: 85-217-X
    Geography: Province or territory
    Description:

    This publication describes the structure and administration of provincial/territorial legal aid services in Canada. It also includes information on legislation, organization, coverage, eligibility, duty counsel and tariffs.

    Release date: 2002-05-24

  • Surveys and statistical programs – Documentation: 13F0026M2001001
    Description:

    This document briefly describes the Survey of Financial Security and presents the questionnaire used for the interview. The Survey of Financial Security (SFS) was conducted during May and June of 1999. The information was collected by personal interview, using a paper questionnaire. Introductory material was sent to the respondent prior to the first contact by the interviewer.

    Approximately 23,000 dwellings were selected for the sample, most using the Labour Force Survey frame. The high-income sample was drawn from geographic areas with a larger concentration of high-income households.

    The survey collected the following type of information: (1) general demographic information on all members of the family, (2) more detailed information on the education, employment, income, etc., on those family members 15 years of age and older, and, (3) asset and debt information on the family as a whole.

    Release date: 2001-01-24
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Reference (14)

Reference (14) (0 to 10 of 14 results)

  • Surveys and statistical programs – Documentation: 13-606-G201600114621
    Description:

    An explanation of the structure and concepts of Canada’s financial flow and national balance sheet accounts.

    Release date: 2016-11-30

  • Surveys and statistical programs – Documentation: 16-509-X
    Description:

    The Methodological Guide: Canadian System of Environmental-Economic Accounting provides readers with information on environmental-economic accounts at Statistics Canada. It provides links to produced data and publications and describes the concepts, sources, and methods used to compile them. Topics include ecosystem accounting, asset accounts (natural resources in physical and monetary terms), physical flow accounts (energy and water use, and waste and greenhouse gas emissions), environmental activity statistics (expenditures on environmental protection), and the applications and extensions of those accounts (attribution of physical flows to final demand and intensity measures).

    This user's guide has been developed by the Environmental Statistics Program to facilitate access to environmental-economic accounting information throughout Statistics Canada and to explain its linkage with international standards, the United Nations System of Environmental-Economic Accounting. This guide is continually being updated to maintain its relevance.

    Release date: 2016-04-22

  • Surveys and statistical programs – Documentation: 21F0005G
    Description:

    The Whole Farm Data Base (WFDB) is the product of a joint venture between Agriculture and Agri-Food Canada and Statistics Canada. It was developed with the intention to meet the increasing demands of users of agricultural statistics for more disaggregated data at the whole farm level. The WFDB provides the means for users to evaluate agricultural policies and programs as well as analyze the viability, stability, and competitiveness of various farm businesses.

    Integrating into one base the agricultural data, which are available from administrative and survey sources, is the essence of the WFDB. It can offer users access to a wider than ever range of disaggregated physical and financial data at the farm level.

    This reference manual will familiarize potential users of the WFDB with the structure of the data base and the quality of the data and give a description of the WFDB products and services that are currently available.

    Release date: 2011-12-23

  • Surveys and statistical programs – Documentation: 15-206-X2008018
    Description:

    Official data from statistical agencies are not always ideal for cross-country comparisons because of differences in data sources and methodology. Analysts who engage in cross-country comparisons need to carefully choose among alternatives and sometimes adapt data especially for their purposes. This paper develops comparable capital stock estimates to examine the relative capital intensity of Canada and the United States.

    To do so, the paper applies common depreciation rates to Canadian and U.S. assets to come up with comparable capital stock estimates by assets and by industry between the two countries. Based on common depreciation rates, it finds that capital intensity is higher in the Canadian business sector than in the U.S. business sector. This is the net result of quite different ratios at the individual asset level. Canada has as higher intensity of engineering infrastructure assets per dollar of gross domestic product produced. Canada has a lower intensity of information and communications technology (ICT) machinery and equipment (M&E). Non-ICT M&E and building assets intensities are more alike in the two countries.

    However, these results do not control for the fact that different asset-specific capital intensities between Canada and the United States may be the result of a different industrial structure. When both assets and industry structure are taken into account, the overall picture changes somewhat. Canada's business sector continues to have a higher intensity of engineering infrastructure and about the same intensity of building assets; however, it has a deficit in M&E that goes beyond ICT assets.

    Release date: 2008-07-10

  • Surveys and statistical programs – Documentation: 15-206-X2008016
    Description:

    This paper focuses on the role of investments in infrastructure in Canada. The size of infrastructure investments relative to other capital stock sets this country apart from most other Organisation for Economic Co-operation and Development countries. The paper reviews the approaches taken by other researchers to define infrastructure. It then outlines a taxonomy to define those assets that should be considered as infrastructure and that can be used to assess the importance of different types of capital investments. It briefly considers how to define the portion of infrastructure that should be considered 'public'. The final two parts of the paper apply the proposed classification system to data on Canada's capital stock, and ask the following questions: how much infrastructure does Canada have and in which sectors of the economy is this infrastructure located? Finally, the paper investigates how Canada's infrastructure has evolved over the last four decades, both in the commercial and non-commercial sectors, and compares these trends with the pattern that can be found in the United States.

    Release date: 2008-03-12

  • Surveys and statistical programs – Documentation: 13F0026M2007001
    Description:

    This guide will be of assistance when using the public use microdata file (PUMF) of the Survey of Financial Security (SFS) conducted by the Pensions and Wealth Surveys Section of the Income Statistics Division.

    Release date: 2007-09-04

  • Surveys and statistical programs – Documentation: 15-206-X2007005
    Description:

    This paper generates depreciation profiles for a diverse set of assets based on patterns of resale prices and retirements. In doing so, it explores the sensitivity of estimates of the growth in capital stock and capital services to alternate estimates of depreciation.

    In the first instance, survival analysis techniques are used to estimate changes in valuation of assets over the course of their service life. In the second instance, a two-step procedure is utilized that first estimates the discard function for used assets (assets discarded at zero prices) and then uses the resulting estimates to correct for selection bias that arises when just positive used-asset prices are employed to estimate age-price profiles to produce depreciation rates. For the third method, a discard function and an asset efficiency function are jointly specified and estimated.

    These three different methods produce depreciation profiles that follow convex patterns. Accelerated profiles are apparent for many individual assets in the machinery and equipment and structures classes.

    We also compare the ex post estimates of length of life that are based on outcomes to ex ante expected lives and find they are much the same. We therefore choose ex ante lives along with information from the ex post rates on the rate of decline in an asset's value to generate a set of depreciation rates for use in the productivity accounts.

    We then use our depreciation model to produce estimates of the growth in capital stock and capital services over the 1961 to 1996 period. We find that the resulting estimates of capital stock and capital services are quite similar to those previously produced.

    Release date: 2007-02-12

  • Surveys and statistical programs – Documentation: 13F0026M2003001
    Description:

    This guide will be of assistance in understanding the concepts, methodology and data quality of the surveys conducted as well as the data analysed by the Pensions and Wealth Surveys Section of the Income Statistics Division. It covers the following surveys/programs:- Pension Plans in Canada;- Trusteed Pension Funds (Census and Quarterly);- Survey of Financial Security; and- Pension adjustment/registered retirement savings plans data file provided by Canada Customs and Revenue Agency.

    Release date: 2003-02-14

  • Surveys and statistical programs – Documentation: 85-217-X
    Geography: Province or territory
    Description:

    This publication describes the structure and administration of provincial/territorial legal aid services in Canada. It also includes information on legislation, organization, coverage, eligibility, duty counsel and tariffs.

    Release date: 2002-05-24

  • Surveys and statistical programs – Documentation: 13F0026M2001001
    Description:

    This document briefly describes the Survey of Financial Security and presents the questionnaire used for the interview. The Survey of Financial Security (SFS) was conducted during May and June of 1999. The information was collected by personal interview, using a paper questionnaire. Introductory material was sent to the respondent prior to the first contact by the interviewer.

    Approximately 23,000 dwellings were selected for the sample, most using the Labour Force Survey frame. The high-income sample was drawn from geographic areas with a larger concentration of high-income households.

    The survey collected the following type of information: (1) general demographic information on all members of the family, (2) more detailed information on the education, employment, income, etc., on those family members 15 years of age and older, and, (3) asset and debt information on the family as a whole.

    Release date: 2001-01-24
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