Employment and unemployment

Description:

Unemployment rate and employment rate by type of student during summer months, sex and age group, last 5 months. Data are also available for the standard error of the estimate and the standard error of the year-over-year change.

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 type of student during summer months, sex and age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

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 province, type of student during summer months, sex, and age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by data type (seasonally adjusted and trend-cycle), sex and age group, last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and sex. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, sex and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employees by class of worker and sex, last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employees by class of worker and sex. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description:

Number of persons in the labour force (employment and unemployment) and unemployment rate by North American Industry Classification System (NAICS), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description:

Number of persons in the labour force (employment and unemployment) and unemployment rate by North American Industry Classification System (NAICS). Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employees by class of worker and sex. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description:

Number of persons in the labour force (employment and unemployment) and unemployment rate by North American Industry Classification System (NAICS), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description:

Number of persons in the labour force (employment and unemployment) and unemployment rate by North American Industry Classification System (NAICS). Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

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 territory, sex and age group, last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by territory, sex and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employees by National Occupational Classification (NOC), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employees by National Occupational Classification (NOC). Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Average usual hours and wages of employees (full- and part-time) by age group, sex, union coverage, job permanency, and National Occupational Classification (NOC), last 5 months.

Description:

Number of unemployed persons by duration of unemployment, sex and age group, last 5 months.

Description:

Regional unemployment rates used by the Employment Insurance program, by effective date, current month.

Description:

Rural areas have a higher incidence of part-time employment. The average annual rate of part-time job growth in rural Canada was higher between 1987 and 1997 than between 1997 and 1999. The predominantly rural provinces have the highest incidence of part-time employment in their rural areas. The majority of part-time employment growth in rural areas is occurring in mainly urban provinces.

Description:

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.

The Canadian Labour Force Survey (LFS) is one of Statistics Canada's most important surveys. It is a monthly survey that collects data concerning the person's labour force status, the nature of the person's work or reason for not working, and the person's demographics. The survey sample consists of approximately 52,000 households. Coverage error is a measure of data quality that is important to any survey. One of the key measures of coverage error in the LFS is the percentage difference between the Census of Population estimates and the LFS population counts; this error is called slippage. A negative value indicates that the LFS has a problem of overcoverage, while a positive value indicates the LFS has an undercoverage problem. In general, slippage is positive, thus meaning that the LFS consistently misses people who should be enumerated.

The purpose of this study was to determine why slippage is increasing and what can be done to remedy it. The study was conducted in two stages. The first stage was a historical review of the projects that have studied and tried to control slippage in the LFS, as well as the operational changes that have been implemented over time. The second stage was an analysis of factors such as vacancy rates, non-response, demographics, urban and rural status and the impact of these factors on the slippage rate.

Description:

The aging of the Canadian population is a well recognized phenomenon and has received considerable policy research attention, particularly in the health and public pension domains. Very little work has been focused on the impacts of aging at the organizational level. Foot and Venne studied the advancement of the baby boom through traditional organizational hierarchies, noting its impacts on human resource policies that encourage horizontal career development. Saba et al looked more particularly at the management of older professionals in the Quebec public service, finding that employee recognition was an important human resource strategy for motivating this group. We extend these studies further along the aging ladder -- to the point where retirement and replacement become the major concerns.

Looking at the management hierarchy within Statistics Canada, we use a microsimulation model first to estimate the expected level of retirements over the next 10 years. We then detail the adjustments to promotion and hiring rates required to replace outgoing managers. We then examine simulated microdata to estimate the experience effects of increasing turnover. Finally, we use the demographic features of the model to examine whether the increasing turnover is likely to increase the representation of women and visible minorities among Statistics Canada managers.

Given the assumptions outlined in the paper, we find that increasing turnover rates in the next 10 years will generally not reduce management experience to below recently observed levels. We also find that given equal promotion rates for men and women, the representation rate of women among Statistics Canada managers is likely to increase rapidly in coming years. On the other hand, visible minority representation among managers will likely stall for several years, even with proactive recruitment and advancement policies.

Description:

Like most other surveys, non-response often occurs in the Current Employment Survey conducted monthly by the U.S. Bureau of Labor Statistics (BLS). In a given month, imputation using reported data from previous months generally provides more efficient survey estimators than ignoring non-respondents and adjusting survey weights. However, imputation also has an effect on variance estimation: treating imputed values as reported data and applying a standard variance estimation method lead to negatively biased variance estimators. In this article, we propose some variance estimators using the Grouped Balanced Half Sample method and re-imputation to take imputation into account. Some simulation results for the finite sample performance of the imputed survey estimators and their variance estimators are presented.

Description:

This paper explores the relationship between employers' computer technology investments and employees' training and education, with emphasis on the education of new hires.

Description:

This article looks at the labour market experiences of recent culture graduates, with a focus on comparing university graduates with their community college and collège d'enseignement général et professionel (CEGEP) counterparts.

Description:

This paper examines small producers in the Canadian and U.S. manufacturing sectors in terms of output and employment from the early 1970s to the late 1990s.

Description:

Current trends in marriage and fertility patterns suggest that young Canadian women are delaying family formation and concentrating on developing their careers. Using data from the 1998 Survey of Labour and Income Dynamics, this study provides Canadian evidence on the effect of marital status and parenthood status on the wage rates of Canadian women. As well, this paper attempts to determine whether decisions regarding the timing of family formation influence the wages of women and whether these decisions have a permanent or temporary impact on earnings. The main results of the paper are as follows.

After controlling for differences in work history, labour force qualifications and selected job characteristics, the cross sectional analysis suggests that there is no association between marital status and wages while the evidence on the relationship between wages and motherhood is mixed.

When controls for years with children were included, there is a positive association of motherhood with wages that persists in the early years of motherhood but declines as the number of years with children lengthens. These results support the specialization, selection, differential treatment by employers and the work effort explanations for differences in the wages of mothers relative to other women. There is no such finding for married women and the duration of marriage.

It is a well-documented fact that the acquisition of job-related skills and significant wage growth is concentrated at the start of workers' careers - which generally coincides with decisions regarding marriage and children. If this is the case, then the timing of marriage and children may be considered proxies for omitted, unobserved characteristics, related to human capital skills, differentiated work history or labour force attachment. Conforming to theoretical expectations when the timing of children is taken into account, women that postpone having children earn at least 6.0% more than women who have children early. There is no significant association between the timing of marriage and wages.

The observed relationship between women's wages and their decision to delay having children tends to persist after the birth of their first child but tends to decline over time. Thus, augmented family responsibilities will tend to reduce any initial wage differentials based on delays of assuming these responsibilities.

Description:

This analysis bulletin, the twenty-fourth profiling trends in rural Canada, uses survey data to reveal the seasonal pattern of employment in rural Canada from 1996 to 2000. It is published in collaboration with the Rural Secretariat of Agriculture and Agri-Food Canada. A higher seasonal variation in employment exists in rural areas compared with urban areas, and is spread throughout virtually all industrial sectors. The lower industrial productivity and reduced wages that likely result present a particular challenge for developing and revitalizing rural areas. This bulleting is useful for researchers and decision-makers who need information on employment seasonality in rural Canada to create appropriate economic strategies.

Description:

This paper reviews principal definitions and boundary and classification issues for the nonprofit sector.

Description: The Public Service Commission has redesigned the Survey of Staffing (SOS) in light of changes brought about by the implementation of the New Direction in Staffing. The Staffing and Non-Partisanship Survey (SNPS) will be conducted every two years and targets all departments and agencies under the Public Service Employment Act (PSEA) - including those with less than 350 employees. The SNPS gathers information from a broader range of audiences - employees, hiring managers and staffing advisors - on key aspects of the staffing system (e.g., merit). As in previous years, the survey also gathers critical information on employees' understanding of their rights and responsibilities regarding political activities and non-partisanship.

Description: The primary objective of the survey is to obtain the views of all Parks Canada employees about their workplace.

Description: Statistics Canada is conducting the Public Service Financial Community Survey on behalf of the Office of the Comptroller General to collect relevant and timely information about the financial community on which to base decisions.

Description: The purpose of this survey is to identify emerging trends in the Canadian labour market.

Description: The purpose of this survey is to identify changing dynamics within the Canadian labour market and measure important socio-economic indicators.

Description: This is non-Statistics Canada information.

Description: The Longitudinal Employment Analysis Program (LEAP) is a database that contains annual employment information for each employer business in Canada, starting with the 1983 reference year.