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All (87) (0 to 10 of 87 results)

  • Articles and reports: 11-522-X202200100009
    Description: Education and training is acknowledged as fundamental for the development of a society. It is a complex multidimensional phenomenon, which determinants are ascribable to several interrelated familiar and socio-economic conditions. To respond to the demand of supporting statistical information for policymaking and its monitoring and evaluation process, the Italian National Statistical Institute (Istat) is renewing the education and training statistical production system, implementing a new thematic statistical register. It will be part of the Istat Integrated System of Registers, thus allowing relating the education and training phenomenon to other relevant phenomena, e.g. transition to work.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100010
    Description: Growing Up in Québec is a longitudinal population survey that began in the spring of 2021 at the Institut de la statistique du Québec. Among the children targeted by this longitudinal follow-up, some will experience developmental difficulties at some point in their lives. Those same children often have characteristics associated with higher sample attrition (low-income family, parents with a low level of education). This article describes the two main challenges we encountered when trying to ensure sufficient representativeness of these children, in both the overall results and the subpopulation analyses.
    Release date: 2024-03-25

  • Articles and reports: 11-633-X2024001
    Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years.
    Release date: 2024-01-22

  • Articles and reports: 11-633-X2022009
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years.

    This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2022-12-05

  • Articles and reports: 89-648-X2022001
    Description:

    This report explores the size and nature of the attrition challenges faced by the Longitudinal and International Study of Adults (LISA) survey, as well as the use of a non-response weight adjustment and calibration strategy to mitigate the effects of attrition on the LISA estimates. The study focuses on data from waves 1 (2012) to 4 (2018) and uses practical examples based on selected demographic variables, to illustrate how attrition be assessed and treated.

    Release date: 2022-11-14

  • Articles and reports: 11-633-X2021008
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2021-12-06

  • Articles and reports: 89-648-X2020004
    Description:

    This technical report is intended to validate the Longitudinal and International Study of Adults (LISA) Wave 4 (2018) Food Security (FSC) module and provide recommendations for analytical use. Section 2 of this report provides an overview of the LISA data. Section 3 provides some background information of food security measures in national surveys and why it is significant in today's literature. Section 4 analyzes FSC data by presenting key descriptive statistics and logic checks using LISA methodology as well as outside researcher information. In section 5, certification validation was done by comparing other Canadian national surveys that have used the FSC module to the one used by LISA. Finally in section 6, key findings and their implications with regard to LISA are outlined.

    Release date: 2020-11-02

  • Articles and reports: 89-648-X2020002
    Description:

    Administrative data sets have become increasingly popular sources of information to study mobility across generations. However, the inclusion of parent-child pairs depends on the primary purpose for which the data was collected. In the case of tax records, both parents and children must have worked and filed their taxes, and the children's labour market entry must have happened before they left the parental home. This paper documents selection in samples of parent-child pairs constructed from personal income tax records from Canada, and discusses implications for intergenerational research. It takes advantage of the fact that Statistics Canada's Longitudinal and International Study of Adults (LISA) includes both survey and administrative data to inform the nature and severity of the resulting sample selection. Results show that respondents who were successfully linked to their parents are more educated, and are more likely to have grown up in better educated, nuclear families. However, correcting for sample selection suggests that there is no bias in unadjusted estimates.

    Release date: 2020-03-17

  • Articles and reports: 89-648-X2020003
    Description:

    This study investigates the suitability of Canada's Longitudinal and International Study of Adults (LISA) for research on intergenerational income mobility. The LISA combines survey data, collected biennially since 2012, and the personal income tax records of both respondents and their past and present family members. In comparison, existing work on intergenerational mobility in Canada has often used the Intergenerational Income Database (IID), a purely administrative dataset based on the universe of tax filers. The IID's size has allowed researchers to describe the experience of mobility of narrowly defined geographic units and cohorts. However, its potential to investigate the mechanisms underlying these patterns is limited, given the small set of variables it informs. As such, the LISA is a promising candidate to further our understanding of the drivers of mobility. This study reproduces the analysis from four key papers that have documented the intergenerational transmission of income in Canada using the IID. Despite having a much smaller sample size and a different approach to the establishment of parent-child links, it finds that the LISA produces results that are consistent with the existing literature. This study also explores the sensitivity of rank-rank estimates to the choice of different specification and present results that will guide the methodological choices to be made by users of the LISA intergenerational family files in combination with LISA variables from the survey data.

    Release date: 2020-03-17

  • Articles and reports: 11-633-X2017006
    Description:

    This paper describes a method of imputing missing postal codes in a longitudinal database. The 1991 Canadian Census Health and Environment Cohort (CanCHEC), which contains information on individuals from the 1991 Census long-form questionnaire linked with T1 tax return files for the 1984-to-2011 period, is used to illustrate and validate the method. The cohort contains up to 28 consecutive fields for postal code of residence, but because of frequent gaps in postal code history, missing postal codes must be imputed. To validate the imputation method, two experiments were devised where 5% and 10% of all postal codes from a subset with full history were randomly removed and imputed.

    Release date: 2017-03-13
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  • Articles and reports: 75F0002M1994002
    Description:

    This paper describes the experiences of other surveys in dealing with respondents. It also documents several viewpoints and survey findings on incentives and their effect on response rates as well as ways of maintaining interviewer morale.

    Release date: 1995-12-30

  • Articles and reports: 75F0002M1994016
    Description:

    This paper presents various data quality measures proposed for the Survey of Labour and Income Dynamics (SLID), including wave and panel response rates and measures of the characteristics of non-respondents.

    Release date: 1995-12-30

  • Articles and reports: 75F0002M1995011
    Description:

    This paper outlines the challenges of disseminating microdata from longitudinal surveys and some of the measures being proposed to deal with them. It uses the Survey of Labour and Income Dynamics (SLID) as a case study.

    Release date: 1995-12-30

  • Articles and reports: 75F0002M1995016
    Description:

    This paper examines the development of survey data files, or data modelling, for longitudinal surveys.

    Release date: 1995-12-30

  • Articles and reports: 12-001-X199500114413
    Description:

    Statistical agencies are conducting increasing numbers of longitudinal surveys. Although the main output of these surveys consists of longitudinal data, most of them are also expected to produce reliable cross-sectional estimates. In surveys of individuals and households, population dynamics significantly changes household composition over time. For this reason, methods of cross-sectional estimation must be adapted to the longitudinal aspect of the sample. This paper discusses in a general context the Weight Share method, of which one application is to assign a basic weight to each individual in a household. The variance estimator associated with the Weight Share method is also presented. The weighting of a longitudinal sample is then discussed when a supplementary sample is selected to improve the cross-sectional representativeness of the sample. The paper presents as an application the Survey of Labour and Income Dynamics (SLID) introduced by Statistics Canada in 1994. This longitudinal survey covers individuals’ work experience, changes in income and changes in family composition.

    Release date: 1995-06-15

  • Articles and reports: 12-001-X199300214452
    Description:

    Surveys across time can serve many objectives. The first half of the paper reviews the abilities of alternative survey designs across time - repeated surveys, panel surveys, rotating panel surveys and split panel surveys - to meet these objectives. The second half concentrates on panel surveys. It discusses the decisions that need to be made in designing a panel survey, the problems of wave nonresponse, time-in-sample bias and the seam effect, and some methods for the longitudinal analysis of panel survey data.

    Release date: 1993-12-15

  • Articles and reports: 12-001-X199000214527
    Description:

    The United States’ National Crime Survey is a large-scale, household survey used to provide estimates of victimizations. The National Crime Survey uses a rotating panel design under which sampled housing units are maintained in the sample for three-and-one-half years with residents of the housing units being interviewed every six months. Nonresponse is a serious problem in longitudinal data from the National Crime Survey since as few as 25% of all individuals interviewed for the survey are respondents over an entire three-and-one-half-year period. In addition, the nonresponse typically does not occur at random with respect to victimization status. This paper presents models for gross flows among two types of victimization reporting classifications: number of victimizations and seriousness of victimization. The models allow for random or nonrandom nonresponse mechanisms, and allow the probabilities underlying the gross flows to be either unconstrained or symmetric. The models are fit, using maximum likelihood estimation, to the data from the National Crime Survey.

    Release date: 1990-12-14
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