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  • 1. Toward a system of integrated statistical data on education and training Archived
    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
  • 2. Children born into vulnerability: Challenges encountered in a Quebec longitudinal survey Archived
    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
  • 3. Longitudinal Immigration Database (IMDB) Technical Report, 2022
    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
  • 4. Longitudinal Immigration Database (IMDB) Technical Report, 2021
    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
  • 5. Attrition in the Longitudinal and International Study of Adults, Wave 1 (2012) to Wave 4 (2018)
    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
  • 6. Longitudinal Immigration Database (IMDB) Technical Report, 2020
    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
  • 7. Validation of the Food Security Module in the 2018 Longitudinal and International Study of Adults
    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
  • 8. Sample selection in tax data sets of intergenerational links: Evidence from the Longitudinal and International Study of Adults
    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
  • 9. Assessing the suitability of the Longitudinal and International Study of Adults for the estimation of intergenerational income mobility
    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
  • 10. Imputing Postal Codes to Analyze Ecological Variables in Longitudinal Cohorts: Exposure to Particulate Matter in the Canadian Census Health and Environment Cohort Database Archived
    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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Analysis (87) (70 to 80 of 87 results)

  • 71. Longitudinal surveys: Why are these surveys different from all other surveys? Archived
    Articles and reports: 12-001-X19980024347
    Description:

    We review the current status of various aspects of the design and analysis of studies where the same units are investigated at several points in time. These studies include longitudinal surveys, and longitudinal analyses of retrospective studies and of administrative or census data. The major focus is the special problems posed by the longitudinal nature of the study. We discuss four of the major components of longitudinal studies in general; namely, Design, Implementation, Evaluation and Analysis. Each of these components requires special considerations when planning a longitudinal study. Some issues relating to the longitudinal nature of the studies are: concepts and definitions, frames, sampling, data collection, nonresponse treatment, imputation, estimation, data validation, data analysis and dissemination. Assuming familiarity with the basic requirements for conducting a cross-sectional survey, we highlight the issues and problems that become apparent for many longitudinal studies.

    Release date: 1999-01-14
  • 72. Data and modelling strategies in estimating labour force gross flows affected by classification errors Archived
    Articles and reports: 12-001-X19980024348
    Description:

    Gross flows among labour force states are of great importance in understanding labour market dynamics. Observed flows are typically subject to classification errors, which may induce serious bias. In this paper, some of the most common strategies, used to collect longitudinal information about labour force condition are reviewed, jointly with the modelling approaches developed to correct gross flows, when affected by classification errors. A general framework for estimating gross flows is outlined. Examples are given of different model specifications, applied to data collected with different strategies. Specifically, two cases are considered, i.e., gross flows from (i) the U.S. Survey of Income and Program Participation and (ii) the French Labour Force Survey, a yearly survey collecting retrospective monthly information.

    Release date: 1999-01-14
  • 73. Longitudinal analysis of Swiss Labour Force Survey data by multivariate logistic regression Archived
    Articles and reports: 12-001-X19980024350
    Description:

    In longitudinal surveys, simple estimates of change, such as differences of percentages may not always be efficient enough to detect changes of practical relevance, especially in sub-populations. The use of models, which can represent the dependence structure of the longitudinal survey, can help to solve this problem. One of the main characteristics observed by the Swiss Labour Force Survey (SLFS) is the employment status. As the survey is designed as a rotating panel, the data from the SLFS are multivariate categorical data, where a large proportion of the response profiles are missing by design. The multivariate logistic model, introduced by Glonek and McCullagh (1995) as a generalisation of logistic regression, is attractive in this context, since it allows for dependent repeated observations and incomplete response profiles. We show that, using multivariate logistic regression, we can represent the complex dependence structure of the SLFS by a small number of parameters, and obtain more efficient estimates of change.

    Release date: 1999-01-14
  • 74. Price index surveys as quasi-longitudinal studies Archived
    Articles and reports: 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
  • 75. Treatment of nonresponse in cycle two of the National Population Health Survey Archived
    Articles and reports: 12-001-X19980024352
    Description:

    The National Population Health Survey (NPHS) is one of Statistics Canada's three major longitudinal household surveys providing an extensive coverage of the Canadian population. A panel of approximately 17,000 people are being followed up every two years for up to twenty years. The survey data are used for longitudinal analyses, although an important objective is the production of cross-sectional estimates. Each cycle panel respondents provide detailed health information (H) while, to augment the cross-sectional sample, general socio-demographic and health information (G) are collected from all members of their households. This particular collection strategy presents several observable response patterns for Panel Members after two cycles: GH-GH, GH-G*, GH-**, G*-GH, G*-G* and G*-**, where "*" denotes a missing portion of data. The article presents the methodology developed to deal with these types of longitudinal nonresponse as well as with nonresponse from a cross-sectional perspective. The use of weight adjustments for nonresponse and the creation of adjustment cells for weighting using a CHAID algorithm are discussed.

    Release date: 1999-01-14
  • 76. Selection of a Top up Sample for Cross-sectional Income Estimates Archived
    Articles and reports: 75F0002M1997004
    Description:

    This paper sets out a number of summary analyses that support the recommendation to draw a top up sample in the integration of Survey of Labour and Income Dynamics (SLID) and Survey of Consumer Finances (SCF) data.

    Release date: 1997-12-31
  • 77. Instrumental variable estimation of gross flows in the presence of measurement error Archived
    Articles and reports: 12-001-X19970013105
    Description:

    The problem of estimating transition rates from longitudinal survey data in the presence of misclassification error is considered. Approaches which use external information on misclassification rates are reviewed, together with alternative models for measurement error. We define categorical instrumental variables and propose methods for the identification and estimation of models including such variables by viewing the model as a restricted latent class model. The numerical properties of the implied instrumental variable estimators of flow rates are studied using data from the Panel Study of Income Dynamics.

    Release date: 1997-08-18
  • 78. Project on Matching Census 1986 Database and Manitoba Health Care Files: Private Households Component Archived
    Articles and reports: 11F0019M1996091
    Geography: Province or territory
    Description:

    Introduction: In the current economic context, all partners in health care delivery systems, be they public or private, are obliged to identify the factors that influence the utilization of health care services. To improve our understanding of the phenomena that underlie these relationships, Statistics Canada and the Manitoba Centre for Health Policy and Evaluation have just set up a new database. For a representative sample of the population of the province of Manitoba, cross-sectional microdata on individuals' health and socio-economic characteristics were linked with detailed longitudinal data on utilization of health care services.

    Data and methods: The 1986-87 Health and Activity Limitation Survey, the 1986 Census and the files of Manitoba Health were matched (without using names or addresses) by means of the CANLINK software. In the pilot project, 20,000 units were selected from the Census according to modern sampling techniques. Before the files were matched, consultations were held and an agreement was signed by all parties in order to establish a framework for protecting privacy and preserving the confidentiality of the data.

    Results: A matching rate of 74% was obtained for private households. A quality evaluation based on the comparisons of names and addresses over a small subsample established that the overall concordance rate among matched pairs was 95.5%. The match rates and concordance rates varied according to age and household composition. Estimates produced from the sample accurately reflected the socio-demographic profile, mortality, hospitalization rate, health care costs and consumption of health care by Manitoba residents.

    Discussion: The matching rate of 74% was satisfactory in comparison with the response rates reported in most population surveys. Because of the excellent concordance rate and the accuracy of the estimates obtained from the sample, this database will provide an adequate basis for studying the association between socio-demographic characteristics, health and health care utilization in province of Manitoba.

    Release date: 1996-03-30
  • 79. Questionnaire Design in a Paperless Society Archived
    Articles and reports: 75F0002M1993008
    Description:

    This paper describes the learning curve associated with breaking away from the traditional method of developing questions for a "paper and pencil" questionnaire to providing specifications for questions and flows for a programmer. It uses the Survey of Labour and Income Dynamics (SLID) as a case study.

    Release date: 1995-12-30
  • 80. Inserting Joiners into a Longitudinal Panel of Households and Individuals: Simulations Archived
    Articles and reports: 75F0002M1993018
    Description:

    This paper evaluates alternatives for weighting persons who join households after a respondent panel has been selected.

    Release date: 1995-12-30
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