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All (61) (60 to 70 of 61 results)

  • Articles and reports: 75-001-X19890042288
    Geography: Canada

    Unemployment estimates from the Labour Force Survey, source of the official unemployment rate, are quite different from counts of the number of Unemployment Insurance beneficiaries. This piece reviews the conceptual differences between the two data sources and quantifies many of the factors that create the discrepancies.

    Release date: 1989-12-20
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Analysis (61)

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  • Articles and reports: 12-001-X20040029187

    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

    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

    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

    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

    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

    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

    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

    Closing remarks

    Release date: 2004-09-13

  • Articles and reports: 11-522-X20020016752

    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

    Keynote Address.

    Release date: 2004-09-13
Reference (2)

Reference (2) ((2 results))

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

    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

    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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