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This paper introduces and explains modifications made to the Labour Force Survey estimates.

Every year, thousands of workers lose their jobs as firms reduce the size of their workforce in response to growing competition, technological changes, changing trade patterns and numerous other factors. Thousands of workers also start a job with a new employer as new firms enter a product market and existing firms expand or replace employees who recently left. This worker reallocation process across employers is generally seen as contributing to productivity growth and rising living standards. To measure this labour reallocation process, labour market indicators such as hiring rates and layoff rates are needed. In response to growing demand for subprovincial labour market information and taking advantage of unique administrative datasets, Statistics Canada is producing hiring rates and layoff rates by economic region of residence. This document describes the data sources, conceptual and methodological issues, and other matters pertaining to these two indicators.

Using data from the Provincial KLEMS database, this paper asks whether provincial economies have undergone structural change in their business sectors since 2000. It does so by applying a measure of industrial change (the dissimilarity index) using measures of output (real GDP) and hours worked. The paper also develops a statistical methodology to test whether the shifts in the industrial composition of output and hours worked over the period are due to random year-over-year changes in industrial structure or long-term systematic change in the structure of provincial economies. The paper is designed to inform discussion and analysis of recent changes in industrial composition at the national level, notably, the decline in manufacturing output and the concomitant rise of resource industries, and the implications of this change for provincial economies.

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.

This article examines whether the education levels of graduates surpass the needs of employers, and to what extent.

With this working paper, Statistics Canada is releasing 1991 Census data tabulated by a new geographic classification called "census metropolitan area and census agglomeration influenced zones", or MIZ. This classification applies to census subdivisions (municipalities) that lie outside census metropolitan areas and census agglomerations. This part of Canada covers 96% of the country's total land mass and contains 22% of its population, yet up to now we have been limited in our means of differentiating this vast area. The MIZ classification shows the influence of census metropolitan areas (CMA) and census agglomerations (CA) on surrounding census subdivisions as measured by commuting flows based on 1991 Census place of work data. This version of the MIZ classification also incorporates a preliminary version of a north concept that flags census subdivisions according to their location in the north or south of Canada.

The series of tables presented here show detailed demographic, social and economic characteristics for Canada as a whole, for the six major regions of Canada, and for individual provinces and territories. Within each table, the data are subdivided into five categories: census metropolitan area or census agglomeration, strong MIZ, moderate MIZ, weak MIZ and no MIZ. Within each of these categories, the data are further subdivided into north and south.

Readers are invited to review and use the data tables to assess whether this combined MIZ and north/south classification of non-CMA/CA areas provides sufficient detail to support data analysis and research. The intent of this MIZ classification is to reveal previously hidden data detail and thereby help users address issues related to this vast geographic area.

This is the first of three related Geography working papers (catalogue no. 92F0138MPE). The second working paper (no. 2000-2, 92F0138MPE00002) provides background information about the methodology used to delineate the MIZ classification. The third working paper (no. 2000-3, 92F0138MPE00003) describes the methodology used to define a continuous line across Canada that separates the north from the south to further differentiate the MIZ classification.

This paper examines the relation between human capital and rural development.

This paper explores the management development profiles of mid-to-senior level managers of the Canadian Red Cross Society.

A framework for the dynamic analysis of unemployment is presented, and applied to Canadian and U.S. data. The focus of the analysis is upon the distinctionbetween being unemployed and becoming unemployed, that is, between the stock and the flow of unemployment. The share of a particular group in the stock ofunemployed will differ from its share in the flow into unemployment to the extent that the average duration of unemployment for the group differs from the economywide average. An analysis of Canadian and U.S. data leads to a series of stylized facts that permit a deeper understanding of unemployment in the two countries, andof the differences between them. Significant differences in the average duration of unemployment imply that stock shares are not good indicators of flow shares,changes in the stock share of some groups are due to changes in the flow share, while for others they are due to changes in the length of unemployment spells.Explanations of the Canada - U.S. unemployment rate gap should try to accommodate at least three facts uncovered by the analysis: (1) that employer initiatedpermanent separations are the primary means of entry into unemployment in Canada, while labour force entry plays a more important role in the US; (2)unemployment spells are significantly longer in Canada than in the U.S. because of longer spells for most groups regardless of reason for unemployment, not becauseof a compositional difference in the make up of the unemployed; and (3) that longer spell duration and a higher incidence of unemployment contribute about equallyto the trend increase in the Canada - U.S. unemployment differential during the 1980s.

The statistical observation that small firms have created the majority of new jobs during the 1980s has had a tremendous influence on public policy. Governmentshave looked to the small firm sector for employment growth, and have promoted policies to augment this expansion. However, recent research in the US suggeststhat net job creation in the small firm sector may have been overestimated, relative to that in large firms. This paper addresses various measurement issues raised inthe recent research, and uses a very unique Canadian longitudinal data set that encompasses all companies in the Canadian economy to reassess the issue of jobcreation by firm size. We conclude that over the 1978-92 period, for both the entire Canadian economy and the manufacturing sector, the growth rate of (net)employment decreases monotonically as the size of firm increases, no matter which method of sizing firms is used. The small firm sector has accounted for adisproportionate share of both gross job gains and job losses, and in that aggregate, accounted for a disproportionate share of the employment increase over theperiod. Measurement does matter, however, as the magnitude of the difference in the growth rates of small and large firms is very sensitive to the measurementapproaches used. The paper also produces results for various industrial sectors, asks whether the more rapid growth in industries with a high proportion of smallfirms is responsible for the findings at the all-economy level, and examines employment growth in existing small and large firms (ie excluding births). It is found thatemployment growth in the population of existing small and large firms is very similar.

With this working paper, Statistics Canada is releasing 1991 Census data tabulated by a new geographic classification called "census metropolitan area and census agglomeration influenced zones", or MIZ. This classification applies to census subdivisions (municipalities) that lie outside census metropolitan areas and census agglomerations. This part of Canada covers 96% of the country's total land mass and contains 22% of its population, yet up to now we have been limited in our means of differentiating this vast area. The MIZ classification shows the influence of census metropolitan areas (CMA) and census agglomerations (CA) on surrounding census subdivisions as measured by commuting flows based on 1991 Census place of work data. This version of the MIZ classification also incorporates a preliminary version of a north concept that flags census subdivisions according to their location in the north or south of Canada.

The series of tables presented here show detailed demographic, social and economic characteristics for Canada as a whole, for the six major regions of Canada, and for individual provinces and territories. Within each table, the data are subdivided into five categories: census metropolitan area or census agglomeration, strong MIZ, moderate MIZ, weak MIZ and no MIZ. Within each of these categories, the data are further subdivided into north and south.

Readers are invited to review and use the data tables to assess whether this combined MIZ and north/south classification of non-CMA/CA areas provides sufficient detail to support data analysis and research. The intent of this MIZ classification is to reveal previously hidden data detail and thereby help users address issues related to this vast geographic area.

This is the first of three related Geography working papers (catalogue no. 92F0138MPE). The second working paper (no. 2000-2, 92F0138MPE00002) provides background information about the methodology used to delineate the MIZ classification. The third working paper (no. 2000-3, 92F0138MPE00003) describes the methodology used to define a continuous line across Canada that separates the north from the south to further differentiate the MIZ classification.

Every year, thousands of workers lose their jobs as firms reduce the size of their workforce in response to growing competition, technological changes, changing trade patterns and numerous other factors. Thousands of workers also start a job with a new employer as new firms enter a product market and existing firms expand or replace employees who recently left. This worker reallocation process across employers is generally seen as contributing to productivity growth and rising living standards. To measure this labour reallocation process, labour market indicators such as hiring rates and layoff rates are needed. In response to growing demand for subprovincial labour market information and taking advantage of unique administrative datasets, Statistics Canada is producing hiring rates and layoff rates by economic region of residence. This document describes the data sources, conceptual and methodological issues, and other matters pertaining to these two indicators.

Using data from the Provincial KLEMS database, this paper asks whether provincial economies have undergone structural change in their business sectors since 2000. It does so by applying a measure of industrial change (the dissimilarity index) using measures of output (real GDP) and hours worked. The paper also develops a statistical methodology to test whether the shifts in the industrial composition of output and hours worked over the period are due to random year-over-year changes in industrial structure or long-term systematic change in the structure of provincial economies. The paper is designed to inform discussion and analysis of recent changes in industrial composition at the national level, notably, the decline in manufacturing output and the concomitant rise of resource industries, and the implications of this change for provincial economies.

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.

This article examines whether the education levels of graduates surpass the needs of employers, and to what extent.

This paper examines the relation between human capital and rural development.

This paper explores the management development profiles of mid-to-senior level managers of the Canadian Red Cross Society.

A framework for the dynamic analysis of unemployment is presented, and applied to Canadian and U.S. data. The focus of the analysis is upon the distinctionbetween being unemployed and becoming unemployed, that is, between the stock and the flow of unemployment. The share of a particular group in the stock ofunemployed will differ from its share in the flow into unemployment to the extent that the average duration of unemployment for the group differs from the economywide average. An analysis of Canadian and U.S. data leads to a series of stylized facts that permit a deeper understanding of unemployment in the two countries, andof the differences between them. Significant differences in the average duration of unemployment imply that stock shares are not good indicators of flow shares,changes in the stock share of some groups are due to changes in the flow share, while for others they are due to changes in the length of unemployment spells.Explanations of the Canada - U.S. unemployment rate gap should try to accommodate at least three facts uncovered by the analysis: (1) that employer initiatedpermanent separations are the primary means of entry into unemployment in Canada, while labour force entry plays a more important role in the US; (2)unemployment spells are significantly longer in Canada than in the U.S. because of longer spells for most groups regardless of reason for unemployment, not becauseof a compositional difference in the make up of the unemployed; and (3) that longer spell duration and a higher incidence of unemployment contribute about equallyto the trend increase in the Canada - U.S. unemployment differential during the 1980s.

The statistical observation that small firms have created the majority of new jobs during the 1980s has had a tremendous influence on public policy. Governmentshave looked to the small firm sector for employment growth, and have promoted policies to augment this expansion. However, recent research in the US suggeststhat net job creation in the small firm sector may have been overestimated, relative to that in large firms. This paper addresses various measurement issues raised inthe recent research, and uses a very unique Canadian longitudinal data set that encompasses all companies in the Canadian economy to reassess the issue of jobcreation by firm size. We conclude that over the 1978-92 period, for both the entire Canadian economy and the manufacturing sector, the growth rate of (net)employment decreases monotonically as the size of firm increases, no matter which method of sizing firms is used. The small firm sector has accounted for adisproportionate share of both gross job gains and job losses, and in that aggregate, accounted for a disproportionate share of the employment increase over theperiod. Measurement does matter, however, as the magnitude of the difference in the growth rates of small and large firms is very sensitive to the measurementapproaches used. The paper also produces results for various industrial sectors, asks whether the more rapid growth in industries with a high proportion of smallfirms is responsible for the findings at the all-economy level, and examines employment growth in existing small and large firms (ie excluding births). It is found thatemployment growth in the population of existing small and large firms is very similar.

This paper introduces and explains modifications made to the Labour Force Survey estimates.