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  • Surveys and statistical programs – Documentation: 62F0026M2005007
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2005-12-12

  • Surveys and statistical programs – Documentation: 62F0026M2005006
    Description:

    This report describes the quality indicators produced for the 2003 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

    Release date: 2005-10-06

  • Surveys and statistical programs – Documentation: 62F0026M2005005
    Description:

    This discussion paper reviews the previous research into the subject of presenting historical time series and comparisons in constant dollars for the Survey of Household Spending (SHS), and its predecessor the Family Expenditure Survey (FAMEX). It examines two principal methods of converting spending data into constant dollars. The purpose of this discussion paper is to show interested parties how the two methods differ in complexity of implementation and interpretation.

    Release date: 2005-07-15

  • Surveys and statistical programs – Documentation: 62F0026M2005004
    Description:

    The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

    This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.

    Release date: 2005-07-08

  • Surveys and statistical programs – Documentation: 62F0026M2005002
    Description:

    This document will provide an overview of the differences between the old and the new weighting methodologies and the effect of the new weighting system on estimations.

    Release date: 2005-06-30

  • Surveys and statistical programs – Documentation: 75F0002M2005005
    Description:

    The Survey of Labour and Income Dynamics (SLID) conducts two annual interviews: the Labour interview in January and the Income interview in May. The data are collected using computer-assisted interviewing. Thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for Labour and Income are documented in other SLID research papers. This document presents the information for the 2004 Entry Exit portion of the Labour and the Income interviews (for the 2003 reference year).

    The Entry Exit Component consists of five separate modules. The Entry module is the first set of data collected. It is information collected to update household composition and place of residence. For each person identified in Entry, the Demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the Relationships module identifies (or updates) the relationship between each respondent and every other household member. Relationship data is not collected in the May Income interview. The Exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the Tracing module is also included in this document.

    Release date: 2005-06-16

  • Surveys and statistical programs – Documentation: 75F0002M2005008
    Description:

    In May 2004 the Survey of Labour and Income Dynamics (SLID) collected data on income from both its third and fourth panels. Panel 3 was in its fifth year of collection and panel 4 was in its second year.

    Respondents had the option of answering income questions in an interview, or of giving permission to Statistics Canada to allow SLID to use the information on their income tax return.

    The purpose of this document is to present the questions, possible responses and question flows for the 2004 Income questionnaire (for the 2003 reference year).

    Release date: 2005-06-16

  • Surveys and statistical programs – Documentation: 62F0026M2005001
    Description:

    This paper provides some guidance to users on the use of medians and also gives some examples of situations when it can be a more appropriate measure than the average.

    Release date: 2005-05-17
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Reference (8)

Reference (8) ((8 results))

  • Surveys and statistical programs – Documentation: 62F0026M2005007
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2005-12-12

  • Surveys and statistical programs – Documentation: 62F0026M2005006
    Description:

    This report describes the quality indicators produced for the 2003 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

    Release date: 2005-10-06

  • Surveys and statistical programs – Documentation: 62F0026M2005005
    Description:

    This discussion paper reviews the previous research into the subject of presenting historical time series and comparisons in constant dollars for the Survey of Household Spending (SHS), and its predecessor the Family Expenditure Survey (FAMEX). It examines two principal methods of converting spending data into constant dollars. The purpose of this discussion paper is to show interested parties how the two methods differ in complexity of implementation and interpretation.

    Release date: 2005-07-15

  • Surveys and statistical programs – Documentation: 62F0026M2005004
    Description:

    The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

    This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.

    Release date: 2005-07-08

  • Surveys and statistical programs – Documentation: 62F0026M2005002
    Description:

    This document will provide an overview of the differences between the old and the new weighting methodologies and the effect of the new weighting system on estimations.

    Release date: 2005-06-30

  • Surveys and statistical programs – Documentation: 75F0002M2005005
    Description:

    The Survey of Labour and Income Dynamics (SLID) conducts two annual interviews: the Labour interview in January and the Income interview in May. The data are collected using computer-assisted interviewing. Thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for Labour and Income are documented in other SLID research papers. This document presents the information for the 2004 Entry Exit portion of the Labour and the Income interviews (for the 2003 reference year).

    The Entry Exit Component consists of five separate modules. The Entry module is the first set of data collected. It is information collected to update household composition and place of residence. For each person identified in Entry, the Demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the Relationships module identifies (or updates) the relationship between each respondent and every other household member. Relationship data is not collected in the May Income interview. The Exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the Tracing module is also included in this document.

    Release date: 2005-06-16

  • Surveys and statistical programs – Documentation: 75F0002M2005008
    Description:

    In May 2004 the Survey of Labour and Income Dynamics (SLID) collected data on income from both its third and fourth panels. Panel 3 was in its fifth year of collection and panel 4 was in its second year.

    Respondents had the option of answering income questions in an interview, or of giving permission to Statistics Canada to allow SLID to use the information on their income tax return.

    The purpose of this document is to present the questions, possible responses and question flows for the 2004 Income questionnaire (for the 2003 reference year).

    Release date: 2005-06-16

  • Surveys and statistical programs – Documentation: 62F0026M2005001
    Description:

    This paper provides some guidance to users on the use of medians and also gives some examples of situations when it can be a more appropriate measure than the average.

    Release date: 2005-05-17
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