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All (31) (20 to 30 of 31 results)

  • Articles and reports: 11-522-X201700014732
    Description:

    The Institute for Employment Research (IAB) is the research unit of the German Federal Employment Agency. Via the Research Data Centre (FDZ) at the IAB, administrative and survey data on individuals and establishments are provided to researchers. In cooperation with the Institute for the Study of Labor (IZA), the FDZ has implemented the Job Submission Application (JoSuA) environment which enables researchers to submit jobs for remote data execution through a custom-built web interface. Moreover, two types of user-generated output files may be distinguished within the JoSuA environment which allows for faster and more efficient disclosure review services.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014740
    Description:

    In this paper, we discuss the impacts of Employment Benefit and Support Measures delivered in Canada under the Labour Market Development Agreements. We use linked rich longitudinal administrative data covering all LMDA participants from 2002 to 2005. We Apply propensity score matching as in Blundell et al. (2002), Gerfin and Lechner (2002), and Sianesi (2004), and produced the national incremental impact estimates using difference-in-differences and Kernel Matching estimator (Heckman and Smith, 1999). The findings suggest that, both Employment Assistance Services and employment benefit such as Skills Development and Targeted Wage Subsidies had positive effects on earnings and employment.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014742
    Description:

    This paper describes the Quick Match System (QMS), an in-house application designed to match business microdata records, and the methods used to link the United States Patent and Trademark Office (USPTO) dataset to Statistics Canada’s Business Register (BR) for the period from 2000 to 2011. The paper illustrates the record-linkage framework and outlines the techniques used to prepare and classify each record and evaluate the match results. The USPTO dataset consisted of 41,619 U.S. patents granted to 14,162 distinct Canadian entities. The record-linkage process matched the names, city, province and postal codes of the patent assignees in the USPTO dataset with those of businesses in the January editions of the Generic Survey Universe File (GSUF) from the BR for the same reference period. As the vast majority of individual patent assignees are not engaged in commercial activity to provide taxable property or services, they tend not to appear in the BR. The relatively poor match rate of 24.5% among individuals, compared to 84.7% among institutions, reflects this tendency. Although the 8,844 individual patent assignees outnumbered the 5,318 institutions, the institutions accounted for 73.0% of the patents, compared to 27.0% held by individuals. Consequently, this study and its conclusions focus primarily on institutional patent assignees. The linkage of the USPTO institutions to the BR is significant because it provides access to business micro-level data on firm characteristics, employment, revenue, assets and liabilities. In addition, the retrieval of robust administrative identifiers enables subsequent linkage to other survey and administrative data sources. The integrated dataset will support direct and comparative analytical studies on the performance of Canadian institutions that obtained patents in the United States between 2000 and 2011.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014743
    Description:

    Probabilistic linkage is susceptible to linkage errors such as false positives and false negatives. In many cases, these errors may be reliably measured through clerical-reviews, i.e. the visual inspection of a sample of record pairs to determine if they are matched. A framework is described to effectively carry-out such clerical-reviews based on a probabilistic sample of pairs, repeated independent reviews of the same pairs and latent class analysis to account for clerical errors.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014746
    Description:

    Paradata research has focused on identifying opportunities for strategic improvement in data collection that could be operationally viable and lead to enhancements in quality or cost efficiency. To that end, Statistics Canada has developed and implemented a responsive collection design (RCD) strategy for computer-assisted telephone interview (CATI) household surveys to maximize quality and efficiency and to potentially reduce costs. RCD is an adaptive approach to survey data collection that uses information available prior to and during data collection to adjust the collection strategy for the remaining in-progress cases. In practice, the survey managers monitor and analyze collection progress against a predetermined set of indicators for two purposes: to identify critical data-collection milestones that require significant changes to the collection approach and to adjust collection strategies to make the most efficient use of remaining available resources. In the RCD context, numerous considerations come into play when determining which aspects of data collection to adjust and how to adjust them. Paradata sources play a key role in the planning, development and implementation of active management for RCD surveys. Since 2009, Statistics Canada has conducted several RCD surveys. This paper describes Statistics Canada’s experiences in implementing and monitoring this type of surveys.

    Release date: 2016-03-24

  • Articles and reports: 11-522-X201700014755
    Description:

    The National Children’s Study Vanguard Study was a pilot epidemiological cohort study of children and their parents. Measures were to be taken from pre-pregnancy until adulthood. The use of extant data was planned to supplement direct data collection from the respondents. Our paper outlines a strategy for cataloging and evaluating extant data sources for use with large scale longitudinal. Through our review we selected five evaluation factors to guide a researcher through available data sources including 1) relevance, 2) timeliness, 3) spatiality, 4) accessibility, and 5) accuracy.

    Release date: 2016-03-24

  • Articles and reports: 89-503-X201500114315
    Description:

    In this chapter of Women in Canada, the demographic and socio-economic characteristics of visible minority women and girls are explored. Topics include the growth of the visible minority population in Canada and its relationship to immigration, living arrangements, education, labour force participation and employment, social participation, and health. Where it is relevant and feasible, analyses compare both the total visible minority population and specific visible minority groups with the population not belonging to a visible minority group.

    Note: the term “visible minority” refers to one of four designated groups under the Employment Equity Act. Within this context, visible minorities are defined as “persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.”

    Release date: 2016-03-03

  • Articles and reports: 75-006-X201600114322
    Description:

    This article explores how skill proficiencies are related to household income for Canadians aged 16 to 65 using data from the first wave of the Longitudinal and International Study of Adults (LISA), conducted in 2012. The article also demonstrates how the relationship between skill level and low income changes after controlling for other characteristics known to increase the risk of low income.

    Release date: 2016-02-24

  • Articles and reports: 11F0019M2016374
    Description:

    During the 1990s and 2000s, changes in immigration selection policies significantly altered the characteristics of new immigrants to Canada across a number of dimensions, including educational attainment at landing, immigration class, source region, pre-landing Canadian work experience and geographic distribution. These changes were designed primarily to improve immigrant economic outcomes at landing. This paper examines whether immigrant entry earnings improved as a result of these changes in immigration selection and, if so, which characteristics contributed most to the improvement.

    Release date: 2016-02-17

  • Stats in brief: 11-630-X2016001
    Description:

    This edition of Canadian Megatrends explores the evolution of English-French bilingualism in Canada from 1901 to 2011.

    Release date: 2016-01-28
Stats in brief (3)

Stats in brief (3) ((3 results))

  • Stats in brief: 11-630-X2016006
    Description:

    This edition of Canadian Megatrends looks at immigration to Canada since Canada's Confederation.

    Release date: 2016-06-29

  • Stats in brief: 82-624-X201600114637
    Description:

    This article highlights work that is being done to create laboratory reference ranges for substances measured in blood that are specific for the Canadian population. Results for two laboratory tests are presented to illustrate how reference ranges are created and how age and/or sex can influence normal values in a healthy population. This article uses data from the Canadian Health Measures Survey (2007–2011).

    Release date: 2016-06-27

  • Stats in brief: 11-630-X2016001
    Description:

    This edition of Canadian Megatrends explores the evolution of English-French bilingualism in Canada from 1901 to 2011.

    Release date: 2016-01-28
Articles and reports (28)

Articles and reports (28) (0 to 10 of 28 results)

  • Articles and reports: 12-001-X201600214662
    Description:

    Two-phase sampling designs are often used in surveys when the sampling frame contains little or no auxiliary information. In this note, we shed some light on the concept of invariance, which is often mentioned in the context of two-phase sampling designs. We define two types of invariant two-phase designs: strongly invariant and weakly invariant two-phase designs. Some examples are given. Finally, we describe the implications of strong and weak invariance from an inference point of view.

    Release date: 2016-12-20

  • Articles and reports: 75-006-X201600114693
    Description:

    Based on data from the 2014 General Social Survey, this article examines the characteristics associated with being a victim of cyberbullying or cyberstalking within the last five years for the population aged 15 to 29. This article also examines the association between cyberbullying and cyberstalking and various indicators of trust, personal behaviour and mental health.

    Release date: 2016-12-19

  • Articles and reports: 11-630-X2016008
    Description:

    This edition of Canadian Megatrends looks at Canadian seniors’ income since the-mid 1970s.

    Release date: 2016-11-10

  • Articles and reports: 11F0019M2016383
    Description:

    This study assesses immigrants’ acculturation profiles as measured by their sense of belonging to Canada and their source country. It first examines the relative distribution of immigrants who have a strong sense of belonging to both Canada and their source country; a strong sense of belonging to Canada only; a strong sense of belonging to their source country only; and a weak sense of belonging to Canada and their source country. It further examines four sets of determinants of these acculturation profiles, including source-country socioeconomic and cultural characteristics, immigration entry status, post-migration experience, and demographic characteristics.

    Release date: 2016-10-18

  • Articles and reports: 75-006-X201600114655
    Description:

    Based on a self-reported measure of overqualification, this article examines the association between overqualification and skills among workers aged 25 to 64 with a university degree, using data from the 2012 Programme for the International Assessment of Adult Competencies (PIAAC). This article also examines the extent to which overqualified workers are dissatisfied with their jobs. Overqualified workers are defined in this study as university-educated workers who reported that they were in a job requiring no more than a high school education.

    Release date: 2016-09-14

  • Articles and reports: 89-648-X2016001
    Description:

    Linkages between survey and administrative data are an increasingly common practice, due in part to the reduced burden to respondents, and to the data that can be obtained at a relatively low cost. Historical linkage, or the linkage of administrative data from previous years to the year of the survey, compounds these benefits by providing additional years of data. This paper examines the Longitudinal and International Study of Adults (LISA), which was linked to historical tax data on personal income tax returns (T1) and those collected from employers’ files (T4), among others not mentioned in this paper. It presents trends in historical linkage rates, compares the coherence of administrative data between the T1 and T4, presents the ability to use the data to create balanced panels, and uses the T1 data to produce age-earnings profiles by sex. The results show that the historical linkage rate is high (over 90% in most cases) and stable over time for respondents who are likely to file a tax return, and that the T1 and T4 administrative sources show similar earnings. Moreover, long balanced panels of up to 30 years in length (at the time of writing) can be created using LISA administrative linkage data.

    Release date: 2016-08-18

  • Articles and reports: 12-001-X201600114540
    Description:

    In this paper, we compare the EBLUP and pseudo-EBLUP estimators for small area estimation under the nested error regression model and three area level model-based estimators using the Fay-Herriot model. We conduct a design-based simulation study to compare the model-based estimators for unit level and area level models under informative and non-informative sampling. In particular, we are interested in the confidence interval coverage rate of the unit level and area level estimators. We also compare the estimators if the model has been misspecified. Our simulation results show that estimators based on the unit level model perform better than those based on the area level. The pseudo-EBLUP estimator is the best among unit level and area level estimators.

    Release date: 2016-06-22

  • Articles and reports: 12-001-X201600114543
    Description:

    The regression estimator is extensively used in practice because it can improve the reliability of the estimated parameters of interest such as means or totals. It uses control totals of variables known at the population level that are included in the regression set up. In this paper, we investigate the properties of the regression estimator that uses control totals estimated from the sample, as well as those known at the population level. This estimator is compared to the regression estimators that strictly use the known totals both theoretically and via a simulation study.

    Release date: 2016-06-22

  • Articles and reports: 82-003-X201600614634
    Description:

    This study analyzes results from the survey on Barriers to Care for People with Chronic Health Conditions to determine if spending of 5% or more of household income out-of-pocket on drugs and pharmaceutical products was associated with cost-related non-adherence.

    Release date: 2016-06-15

  • Articles and reports: 11F0019M2016378
    Description:

    In spite of the role that employers may play in the selection of economic immigrants, little is known about whether and how firm-level characteristics are associated with immigrants’ labour market outcomes over the longer term. As a first step towards providing relevant evidence, this study asks whether there are large gaps between the initial earnings of immigrants starting with low- or high-paying firms, and whether the initial earnings gaps narrow with increasing length of residence in Canada. It further examines whether earnings returns to human capital among immigrants are larger if they start working in high-paying firms than in low-paying firms. This paper uses data from the Canadian Employer-Employee Dynamics Database (CEEDD) developed by Statistics Canada.

    Release date: 2016-06-01
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