Employment and unemployment

Description: Number of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), sex and age group, last 5 months.

Description: Number of employees by class of worker, North American Industry Classification System (NAICS) and sex, last 5 months.

Description: Number of multiple jobholders by North American Industry Classification System (NAICS), sex and age group, last 5 months.

Description: Number of unemployed persons by type of work sought and seach method, sex and age group, last 5 months.

Description: Number of employees by establishment size, North American Industry Classification System (NAICS), sex, and age group, last 5 months.

Description: Number of employees covered and not covered by a union, by North American Industry Classification System (NAICS), sex, and age group, last 5 months.

Description: Number of permanent and temporary employees by North American Industry Classification System (NAICS), sex and age group, last 5 months.

Description: Supplementary unemployment rates by sex and age group, last 5 months.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by immigrant status and age group, last 5 months.

Description: Number of immigrants in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by sex, age group and immigrant status, last 5 months.

Description: Number of permanent and temporary employees by North American Industry Classification System (NAICS), sex and age group, last 5 months.

Description: Supplementary unemployment rates by sex and age group, last 5 months.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by immigrant status and age group, last 5 months.

Description: Number of immigrants in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by sex, age group and immigrant status, last 5 months.

Description: Number of immigrants in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by educational attainment, immigrant status, sex, and age group, last 5 months.

Description: Number of immigrants in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by country of birth, immigrant status, sex, and age group, last 5 months.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by educational degree, sex and age group, last 5 months.

Description: Number of unemployed persons by activity prior to unemployment, sex and age group, last 5 months.

Description: Number of unemployed persons and persons not in the labour force by reason for leaving job during previous year, sex and age group, last 5 months.

Description: Number of persons not in the labour force by reason for not looking for work, sex and age group, last 5 months.

Description:

This paper looks at the high-tech sector in 2002, a year after high-profile layoffs were made in response to the collapse in demand for its products and services.

Description:

This paper examines the increasing importance of high-knowledge occupations over the period 1971 to 1996. It also examines changes that have occurred for different knowledge professions, including managers, professionals and technical occupations, by industry and by geographic area.

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This paper examines the emergence of the knowledge economy by studying the increasing importance of high-knowledge occupations from 1971 to 2001.

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This paper provides an empirical analysis of the levels and trends in the industrial diversity of Canadian cities over the past 10 years (1992 to 2002). Diverse cities are thought to be more stable and provide better environments that lead to stronger economic growth.

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This report estimates the impact of participating in adult education and training on the employment and earnings of Canadians, using the data from the 1998 Adult Education and Training Survey (AETS).

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This paper looks at the surge in demand for people skilled in computer specialties after the rapid growth of the information, communication and technology (ICT) industry in the 1990s. It uses data from the 2001 Census.

Description:

The Canadian Labour Force Survey (LFS) produces monthly direct estimates of the unemployment rate at national and provincial levels. The LFS also releases unemployment estimates for subprovincial areas such as census metropolitan areas (CMAs) and census agglomerations (CAs). However, for some subprovincial areas, the direct estimates are not very reliable since the sample size in some areas is quite small. In this paper, a cross-sectional and time-series model is used to borrow strength across areas and time periods to produce model-based unemployment rate estimates for CMAs and CAs. This model is a generalization of a widely used cross-sectional model in small area estimation and includes a random walk or AR(1) model for the random time component. Monthly Employment Insurance (EI) beneficiary data at the CMA or CA level are used as auxiliary covariates in the model. A hierarchical Bayes (HB) approach is employed and the Gibbs sampler is used to generate samples from the joint posterior distribution. Rao-Blackwellized estimators are obtained for the posterior means and posterior variances of the CMA/CA-level unemployment rates. The HB method smoothes the survey estimates and leads to a substantial reduction in standard errors. Base on posterior distributions, bayesian model fitting is also investigated in this paper.

Description:

The Korean Economically Active Population Survey (EAPS) has been conducted in order to produce unemployment statistics for large areas such as metropolitan cities and provincial levels. Large areas have been designated as planned domains in the EAPS and local self-government areas (LSGAs) as unplanned domains. In this study, we suggest small area estimation methods to adjust for the unemployment statistics of LSGAs within large areas estimated directly from current EAPS data. We suggest synthetic and composite estimators under the Korean EAPS system, and for the model-based estimator we put forward the hierarchical Bayes (HB) estimator from the general multi-level model. The HB estimator we use here was introduced by You and Rao (2000). The mean square errors of the synthetic and composite estimates are derived from the EAPS data by the Jackknife method, and are used as a measure of accuracy for the small area estimates. Gibbs sampling is used to obtain the HB estimates and their posterior variances, which we use to measure precision for small area estimates. The total unemployment figures of the 10 LSGAs within the ChoongBuk Province produced by the December 2000 EAPS data have been estimated using the small area estimation methods suggested in this study. The reliability of small area estimates is evaluated by the relative standard errors or the relative root mean square errors of these estimates. Here, under the current Korean EAPS system, we suggest that the composite estimates are more reliable than other small area estimates.

Description:

The Illinois Department of Employment Security is using small domain estimation techniques to estimate employment at the county or industry divisional level. The estimator is a standard synthetic estimator, based on the ability to match Current Employment Statistics sample data to ES202 administrative records and an assumed model relationship between the two data sources. This paper is a case study that reviews the steps taken to evaluate the appropriateness of the model and the difficulties encountered in linking the two data sources.

Description:

This study addresses the effects of macroeconomic conditions on the labour market outcomes of immigrants. It simultaneously identifies both the effects of macroeconomic conditions at the time of entry into the labour market and at the time of the survey was taken, while allowing for cohort effects. Also, for the first time in the literature, the impacts on labour force participation along with employment outcomes are explored. The study uses 19 annual cross-sections of the Survey of Consumer Finances, covering the period from 1979 to 1997. The results suggest that the deterioration in the assimilation of recent immigrants is partly due to the adverse economic conditions they face in the year they enter the labour market and the subsequent years following. Macroeconomic conditions at the time of labour market entry have adverse impacts on both labour force participation (LFP) and employment. With the inclusion of controls for macroeconomic conditions, the significance and magnitude of the assimilation-measuring co-efficient increases. Therefore, not only are the estimated cohort effects sensitive to the inclusion of controls for business cycles, but so too are the assimilation profiles.

Description: The Help-wanted Index measures changes in the demand for labour relative to a base-year.

Description: The Survey of Employment, Payrolls and Hours provides a monthly portrait of the amount of earnings, as well as the number of jobs (i.e., occupied positions) and hours worked by detailed industry at the national, provincial and territorial levels.

Description: This survey is conducted to collect statistical information on employment trends in information technology (IT) occupations.

Description: The Employment Dynamics is a compilation of statistical tables on employment, payroll and the number of businesses with employees for Canada, the provinces and territories.

Description: The Labour Force Survey provides estimates of employment and unemployment. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate.

Description: The purpose of the Survey of Annual Work Patterns was to examine three important activities during the year, namely: working, looking for work and going to school.

Description: The purpose of the survey is to adequately assess the current state of both the labour force and the labour force market.

Description: At the heart of the survey's objectives is the understanding of the economic well-being of Canadians: what economic shifts do individuals and families live through, and how does it vary with changes in their paid work, family make-up, receipt of government transfers or other factors?

Description: The purpose of this survey was to find out more about the activities, previous work force attachment and future plans of persons not presently in the labour force; information was also collected on the plans of non-student youth and the retirement circumstances of retired people.

Description: The main purpose of this survey is to evaluate various programs run by Human Resources Development Canada (HRDC), such as the Employment Insurance Program and job skills and training programs. HRDC needs to examine these programs to assess their accessibility and usefulness. Another use is to measure the impact of changes made to the Employment Insurance law in the last few years on their clientele.