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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)

Analysis (61) (10 to 20 of 61 results)

  • Articles and reports: 62F0014M2019005

    This document describes the updated methodology for Investment Banking Services Price Index (IBSPI).

    Release date: 2019-07-08

  • Articles and reports: 75F0002M2019005

    This note describes methodological changes made to the Market Basket Measure (MBM) in Calendar year 2019. These revisions mainly affect MBM estimates for 2008 and 2009, but they also affect the overall interpretation of the trends in the MBM over the 2000s.

    Release date: 2019-02-26

  • Articles and reports: 89-653-X2018001

    This Concepts and Methods Guide is intended to provide a detailed review of the 2017 APS with respect to its subject matter and methodological approaches. It is designed to assist APS data users by serving as a guide to the concepts and measures of the survey as well as the technical details of the survey's design, field work and data processing. This guide is meant to provide users with helpful information on how to use and interpret survey results. The discussion on data quality also allows users to review the strengths and limitations of the data for their particular needs.

    Chapter 1 of this guide provides an overview of the 2017 APS by introducing the survey's background and objectives. Chapter 2 outlines the survey's themes and explains the key concepts and definitions used for the survey. Chapters 3 to 6 cover important aspects of the APS survey methodology, sampling design, data collection and processing. Chapters 7 and 8 review issues of data quality and caution users about comparing 2017 APS data with data from other sources. Chapter 9 outlines the survey products available to the public, including data tables, analytical articles and reference material. The Appendices provide a comprehensive list of survey indicators, extra coding categories and standard classifications used on the APS. Lastly, a glossary of survey terms is also provided.

    Release date: 2018-11-26

  • Articles and reports: 13-605-X201800154922

    Over the last number of months, Statistics Canada has been updating the national statistical system to measure the production, consumption and distribution of non-medical cannabis. To date, this work has involved updating classification standards (such as the North American Product Classification), developing models that take existing information (mainly from health and social surveys) and transform it into estimates of consumption and expenditure, as well as undertaking new surveys on cannabis consumption.

    Release date: 2018-02-22

  • Articles and reports: 13-605-X201700114840

    Statistics Canada is presently preparing the statistical system to be able to gauge the impact of the transition from illegal to legal non-medical cannabis use and to shed light on the social and economic activities related to the use of cannabis thereafter. While the system of social statistics captures some information on the use of cannabis, updates will be required to more accurately measure health effects and the impact on the judicial system. Current statistical infrastructure used to more comprehensively measure the use and impacts of substances such as tobacco and alcohol could be adapted to do the same for cannabis. However, available economic statistics are largely silent on the role illegal drugs play in the economy. Both social and economic statistics will need to be updated to reflect the legalization of cannabis and the challenge is especially great for economic statistics This paper provides a summary of the work that is now under way toward these ends.

    Release date: 2017-09-15

  • Articles and reports: 82-003-X201500314143

    This study evaluates the representativeness of the pooled 2007/2009-2009/2011 Canadian Health Measures Survey immigrant sample by comparing it with socio-demographic distributions from the 2006 Census and the 2011 National Household Survey, and with selected self-reported health and health behaviour indicators from the 2009/2010 Canadian Community Health Survey.

    Release date: 2015-03-18

  • Articles and reports: 12-001-X201400214097

    When monthly business surveys are not completely overlapping, there are two different estimators for the monthly growth rate of the turnover: (i) one that is based on the monthly estimated population totals and (ii) one that is purely based on enterprises observed on both occasions in the overlap of the corresponding surveys. The resulting estimates and variances might be quite different. This paper proposes an optimal composite estimator for the growth rate as well as the population totals.

    Release date: 2014-12-19

  • Articles and reports: 11F0027M2014093
    Geography: Canada

    This paper examines the composition of Canadian and United States gross national saving for a period spanning more than 80 years, using time series from the Bureau of Economic Analysis in the United States and a newly created dataset for Canada. The paper tracks short-term, year-to-year fluctuations, cyclical fluctuations and long-term compositional changes. It illustrates a substantial degree of national saving reallocation across sectors, annually and across business cycles. The national saving rate is more stable than sector saving rates, implying that sectoral changes have been largely offsetting.

    Release date: 2014-06-26

  • Articles and reports: 11-522-X200600110439

    On behalf of Statistics Canada, I would like to welcome you all, friends and colleagues, to Symposium 2006. This the 23rd International Symposium organized by Statistics Canada on survey methodology.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110440

    Now that we have come to the end of a day of workshops plus two very full days of sessions, I have the very pleasant task of offering a few closing remarks and, more importantly, of recognizing the efforts of those who have contributed to the success of this year's symposium. And it has clearly been a success.

    Release date: 2008-03-17
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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