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  • Articles and reports: 12-001-X20040029187
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2005-02-03

  • Articles and reports: 11-522-X20030017597
    Description:

    This paper discusses the challenges Statistics Canada faces in changing its method of transferring information from paper into an electronic medium for the 2006 Census. After contracting with Lockheed Martin, data capture will change from direct data entry by humans to a system that uses optical technologies to scan, recognize, process and save most of the information, largely without human intervention.

    Release date: 2005-01-26

  • Articles and reports: 11-522-X20030017608
    Description:

    This paper discusses the re-engineering of the United States' 2010 Census through three highly integrated activities: the American Community Survey (ACS), the MAF/TIGER Enhancements Program, and a program of early and comprehensive planning, development and testing for a 2010 Census with only a short form.

    Release date: 2005-01-26

  • Articles and reports: 11-522-X20030017699
    Description:

    This paper illustrates the link between the strategic needs of a national statistical office (NSO) and the methodological needs that this generates.

    Release date: 2005-01-26

  • Articles and reports: 11-522-X20030017716
    Description:

    This paper examines how risk and quality can be used to assist with investment decisions across the Office for National Statistics (ONS) in the United Kingdom. It discusses the construction of a table developed to provide measures of the strengths and weaknesses of statistical inputs and outputs.

    Release date: 2005-01-26

  • Articles and reports: 12-002-X20040027034
    Description:

    The use of command files in Stat/Transfer can expedite the transfer of several data sets in an efficient replicable manner. This note outlines a simple step-by-step method for creating command files and provides sample code.

    Release date: 2004-10-05

  • Articles and reports: 11-522-X20020016729
    Description:

    For most survey samples, if not all, we have to deal with the problem of missing values. Missing values are usually caused by nonresponse (such as refusal of participant or interviewer was unable to contact respondent) but can also be produced at the editing step of the survey in an attempt to resolve problems of inconsistent or suspect responses. The presence of missing values (nonresponse) generally leads to bias and uncertainty in the estimates. To treat this problem, the appropriate use of all available auxiliary information permits the maximum reduction of nonresponse bias and variance. During this presentation, we will define the problem, describe the methodology that SEVANI is based on and discuss potential uses of the system. We will end the discussion by presenting some examples based on real data to illustrate the theory in practice.

    In practice, it is very difficult to estimate the nonresponse bias. However, it is possible to estimate the nonresponse variance by assuming that the bias is negligible. In the last decade, many methods were indeed proposed to estimate this variance, and some of these have been implemented in the System for Estimation of Variance due to Nonresponse and Imputation (SEVANI).

    The methodology used to develop SEVANI is based on the theory of two-phase sampling where we assume that the second phase of selection is nonresponse. However, contrary to two-phase sampling, an imputation or nonresponse model is required for variance estimation. SEVANI also assumes that nonresponse is treated by reweighting respondent units or by imputing their missing values. Three imputation methods are considered: the imputation of an auxiliary variable, regression imputation (deterministic or random) and nearest-neighbour imputation.

    Release date: 2004-09-13

  • Articles and reports: 11-522-X20020016751
    Description:

    Closing remarks

    Release date: 2004-09-13

  • Articles and reports: 11-522-X20020016752
    Description:

    Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research, presented by David Binder.

    Release date: 2004-09-13

  • 40. Keynote address Archived
    Articles and reports: 11-522-X20020016753
    Description:

    Keynote Address.

    Release date: 2004-09-13
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  • Articles and reports: 62F0014M2020015
    Description:

    This document describes the methodological details for the Commercial Rents Services Price Index (CRSPI). It includes information about the purpose of the index, data sources, the index estimation and aggregation methods.

    Release date: 2020-09-10

  • Articles and reports: 62F0014M2020012
    Description:

    A summary of methodological treatments as applied to the July 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closures.

    Release date: 2020-08-19

  • Articles and reports: 11-633-X2020002
    Description:

    The concepts of urban and rural are widely debated and vary depending on a country’s geopolitical and sociodemographic composition. In Canada, population centres and statistical area classifications are widely used to distinguish urban and rural communities. However, neither of these classifications precisely classify Canadian communities into urban, rural and remote areas. A group of researchers at Statistics Canada developed an alternative tool called the “remoteness index” to measure the relative remoteness of Canadian communities. This study builds on the remoteness index, which is a continuous index, by examining how it can be classified into five discrete categories of remoteness geographies. When properly categorized, the remoteness index can be a useful tool to distinguish urban, rural and remote communities in Canada, while protecting the privacy and confidentiality of citizens. This study considers five methodological approaches and recommends three methods.

    Release date: 2020-08-11

  • Articles and reports: 82-003-X202000700002
    Description:

    This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.

    Release date: 2020-07-29

  • Articles and reports: 62F0014M2020011
    Description:

    A summary of methodological treatments as applied to the June 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closure.

    Release date: 2020-07-22

  • Articles and reports: 82-003-X202000300001
    Description:

    This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.

    Release date: 2020-06-17

  • Articles and reports: 62F0014M2020009
    Description:

    A summary of methodological treatments as applied to the May 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closures.

    Release date: 2020-06-17

  • Articles and reports: 62F0014M2020008
    Description:

    This document describes the methodology and data source for the provincial monthly average retail prices table. This supplement also explains the difference between the Consumer Price Index and average retail prices in context of inflation.

    Release date: 2020-06-10

  • Articles and reports: 62F0014M2020006
    Description:

    A summary of methodological treatments as applied to the April 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closures.

    Release date: 2020-05-19

  • Articles and reports: 62F0014M2019006
    Description:

    This document gives the details of the methodology used to calculate the New Housing Price Index, the New Condominium Apartment Price Index, and the Resale Residential Property Price Index, and how these indices are compiled to form the Residential Property Price Index.

    Release date: 2019-11-14
Reference (2)

Reference (2) ((2 results))

  • Surveys and statistical programs – Documentation: 12-001-X19980024351
    Description:

    To calculate price indexes, data on "the same item" (actually a collection of items narrowly defined) must be collected across time periods. The question arises whether such "quasi-longitudinal" data can be modeled in such a way as to shed light on what a price index is. Leading thinkers on price indexes have questioned the feasibility of using statistical modeling at all for characterizing price indexes. This paper suggests a simple state space model of price data, yielding a consumer price index that is given in terms of the parameters of the model.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980013913
    Description:

    Temporary mobility is hypothesized to contribute toward within-household coverage error since it may affect an individual's determination of "usual residence" - a concept commonly applied when listing persons as part of a household-based survey or census. This paper explores a typology of temporary mobility patterns and how they relate to the identification of usual residence. Temporary mobility is defined by the pattern of movement away from, but usually back to a single residence over a two-three month reference period. The typology is constructed using two dimensions: the variety of places visited and the frequency of visits made. Using data from the U.S. Living Situation Survey (LSS) conducted in 1993, four types of temporary mobility patterns are identified. In particular, two groups exhibiting patterns of repeat visit behavior were found to contain more of the types of people who tend to be missed during censuses and surveys. Log-linear modeling indicates spent away and demographic characteristics.

    Release date: 1998-07-31
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