Other content related to Labour

The European Union Labour Forces Survey (LFS) is based on national surveys that were originally very different. For the past decade, under pressure from increasingly demanding users (particularly with respect to timeliness, comparability and flexibility), the LFS has been subjected to a constant process of quality improvement.

The following topics are presented in this paper:A. the quality improvement process, which comprises screening national survey methods, target structure, legal foundations, quality reports, more accurate and more explicit definitions of components, etc.;B. expected or achieved results, which include an ongoing survey producing quarterly results within reasonable time frames, comparable employment and unemployment rates over time and space in more than 25 countries, specific information on current political topics, etc.;C. continuing shortcomings, such as implementation delays in certain countries, possibilities of longitudinal analysis, public access to microdata, etc.; D. future tasks envisioned, such as adaptation of the list of ISCO and ISCED variables and nomenclatures (to take into account evolution in employment and teaching methods), differential treatment of structural variables and increased recourse to administrative files (to limit respondent burden), harmonization of questionnaires, etc.

This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

In large-scale surveys, it is almost guaranteed that some level of non-response will occur. Generally, statistical agencies use imputation as a way to treat non-response items. A common preliminary step to imputation is the formation of imputation cells. In this article, the formation of these cells is studied using two methods. The first method is similar to that of Eltinge and Yansaneh (1997) in the case of weighting cells and the second is the method currently used in the Canadian Labour Force Survey. Using Labour Force data, simulation studies are performed to test the impact of the response rate, the response mechanism, and constraints on the quality of the point estimator in both methods.

This paper examines whether long-run labour market outcomes depend on residential environment among adults who grew up in subsidized housing in Toronto. The housing program in Toronto provides a full spectrum of neighbourhood quality types to measure outcome differences, and offers a real-life example of large scale neighbourhood quality reform. A primary advantage with this approach is that, conditional on participation in public housing, residential choice is substantially limited. Families that applied for public housing could not specify which project they wished to be housed in and were constrained to what was offered based on availability at the time they applied and by family size. Unlike previous housing mobility experiments, the availability of administrative tax records are used to measure both short and long run outcomes. The results indicate almost no difference in educational attainment, adult earnings, income, and social assistance participation between children from different public housing types. Average outcomes, estimated wage distributions, and outcome correlations among unrelated project neighbours show no significant neighbourhood impact. In contrast, family differences seem to matter a great deal.

This paper examines some of the fundamental issues behind foreign affiliate trade statistics (FATS), including what they are, who needs them and why they have become so important, and Statistics Canada's plan for collecting FATS.

We consider the regression composite estimation introduced by Singh (1994, 1996; termed earlier as "modified regression composite" estimation), a version of which (suggested by Fuller 1999) has been implemented for the Canadian Labour Force Survey (CLFS) beginning in January 2000. The regression composite (rc) estimator enhances the generalized regression (gr) estimator used earlier for the CLFS and the well known Gurney-Daly ak-composite estimator in several ways.

The Canadian Labour Force Survey is a monthly survey of households selected according to a stratified multistage design. The sample of households is divided into six panels (rotation groups). A panel remains in the sample for six consecutive months and is then dropped from the sample. In the past, a generalized regression estimator, based only on the current month's data, has been implemented with a regression weights program. In this paper, we study regression composite estimation procedures that make use of sample information from previous periods and that can be implemented with a regression weights program.

This paper looks at a range of estimators applicable to a regularly repeated household survey with controlled overlap between successive surveys. The paper shows how the Best Linear Unbiased Estimator (BLUE) based on a fixed window of time points can be improved by applying the technique of generalised regression. This improved estimator is compared to the AK estimator of Gurney and Daly (1965) and the modified regression estimator of Singh, Kennedy, Wu and Brisebois (1997), using data from the Australian Labour Force Survey.

The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.

This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2000. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 1996 Census plus the implementation of a new estimation methodology called composite estimation. This new method results in more efficient estimates of month to month change, while improving the quality of monthly level estimates.

This article investigates whether enjoyment of paid work and household work influences our perception of quality of life.

This table contains 10560 series, with data for years 1994 - 1994 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Age group (10 items: Total, 15-74 years; 15-19 years; 20-34 years; 20-24 years; ...); Sex (3 items: Both sexes; Males; Females); Decision latitude at work (4 items: Total population for the variable decision latitude at work; High decision latitude at work; Low or medium decision latitude at work; Decision latitude at work, not stated); Characteristics (8 items: Number of persons; Low 95% confidence interval - number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; ...).

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration, income and earnings, and housing and shelter costs.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

The cross-sectional public-use microdata file for the Survey of Labour and Income Dynamics (SLID) is a collection of income, labour and family variables on persons in Canada and their families. This file includes many safeguards to prevent the identification of any one person.

Although often referred to as a single file, the SLID public-use microdata file is actually four separate files: key, person, economic family and census family.

The person file contains identifier data, which allows a researcher to group persons into households, economic families and census families, as well as link each of these files together.

This topic presents data on education, labour, place of work, commuting to work and language of work in Canada. The topic presents data on the paid work of the Canadian workforce, including detailed industry and occupation data, class of worker, and work activity during the reference year. Data on workers' place of work and journey to work are also included.

This topic also presents data on four main education concepts: completed education credentials, major field of study, location of study and attendance at school.

Together, these data provide information on education and the work activities of Canadians.

Analytical products

The analytical document provides analysis on the key findings in the data, and is complimented with the short articles found in NHS in Brief and the data in NHS Focus on Geography Series.

Data products

The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.

This table presents a cross-tabulation of data using selected characteristics from the National Household Survey.

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

This paper examines whether long-run labour market outcomes depend on residential environment among adults who grew up in subsidized housing in Toronto. The housing program in Toronto provides a full spectrum of neighbourhood quality types to measure outcome differences, and offers a real-life example of large scale neighbourhood quality reform. A primary advantage with this approach is that, conditional on participation in public housing, residential choice is substantially limited. Families that applied for public housing could not specify which project they wished to be housed in and were constrained to what was offered based on availability at the time they applied and by family size. Unlike previous housing mobility experiments, the availability of administrative tax records are used to measure both short and long run outcomes. The results indicate almost no difference in educational attainment, adult earnings, income, and social assistance participation between children from different public housing types. Average outcomes, estimated wage distributions, and outcome correlations among unrelated project neighbours show no significant neighbourhood impact. In contrast, family differences seem to matter a great deal.

This paper examines some of the fundamental issues behind foreign affiliate trade statistics (FATS), including what they are, who needs them and why they have become so important, and Statistics Canada's plan for collecting FATS.

We consider the regression composite estimation introduced by Singh (1994, 1996; termed earlier as "modified regression composite" estimation), a version of which (suggested by Fuller 1999) has been implemented for the Canadian Labour Force Survey (CLFS) beginning in January 2000. The regression composite (rc) estimator enhances the generalized regression (gr) estimator used earlier for the CLFS and the well known Gurney-Daly ak-composite estimator in several ways.

The Canadian Labour Force Survey is a monthly survey of households selected according to a stratified multistage design. The sample of households is divided into six panels (rotation groups). A panel remains in the sample for six consecutive months and is then dropped from the sample. In the past, a generalized regression estimator, based only on the current month's data, has been implemented with a regression weights program. In this paper, we study regression composite estimation procedures that make use of sample information from previous periods and that can be implemented with a regression weights program.

This paper looks at a range of estimators applicable to a regularly repeated household survey with controlled overlap between successive surveys. The paper shows how the Best Linear Unbiased Estimator (BLUE) based on a fixed window of time points can be improved by applying the technique of generalised regression. This improved estimator is compared to the AK estimator of Gurney and Daly (1965) and the modified regression estimator of Singh, Kennedy, Wu and Brisebois (1997), using data from the Australian Labour Force Survey.

The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.

This article investigates whether enjoyment of paid work and household work influences our perception of quality of life.

This article examines associations between selected work- and non-work-related factors and the incidence of chronic back problems over the next two years.

This report presents an update to the results from the Survey of Labour and Income Dynamics (SLID) and the Survey of Consumer Finances (SCF) for a variety of important time series and it compares the estimates from the two sources.

Increased interprovincial and cross-border trucking has fuelled the demand for truck drivers. This study examines the hours, earnings and demographic characteristics of workers in one of the most common occupations among men.

This paper outlines the structure of the January 1999 Survey of Labour and Income Dynamics (SLID) labour interview questionnaire, including question wording, possible responses, and flows of questions.

This paper provides a written approximation of the 1998 Survey of Labour and Income Dynamics (SLID) labour interview questionnaire.

This paper outlines the structure of the January 1996 Survey of Labour and Income Dynamics (SLID) labour interview. It also discusses changes made to the labour interview between 1995 and 1996.

This report is based on comments from a sample of interviewers from each regional office who were selected to complete a debriefing questionnaire on the Survey of Labour and Income Dynamics (SLID) 1996 labour interview.

This paper outlines the structure of the January 1997 Survey of Labour and Income Dynamics (SLID) labour interview.

The paper provides question wording, lays out the possible responses, and maps out the flow of the questions for the Survey of Labour and Income Dynamics (SLID) labour interview questionnaire.

This report presents a summary evaluation of the quality of the data collected during the Survey of Labour and Income Dynamics (SLID) field test of labour market activity data, held in January and February 1993.

This paper presents the results from test 3A of the Survey of Labour and Income Dynamics (SLID), conducted in January 1993, with a view to identify any necessary changes to the questions or to the algorithm used to derive labour force status.

The paper examines the results of an initial evaluation of the effectiveness of the lighter, non-bureaucratic approach to questionnaire design called the SLID (Survey of Labour and Income Dynamics ) Notebook

This document outlines the structure and detailed content of the first labour interview questionnaire for the Survey of Labour and Income Dynamics (SLID).