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- Articles and reports: 11F0019M1997106Geography: Canada, Province or territoryDescription:
This paper documents job turnover and labour market adjustment activities in the Ontario economy from 1978 to 1993. The following highlights the major findings. Both the permanent layoff rate and the total permanent separation rate vary substantially from one industry to another. In 1992, the permanent layoff and total permanent separation rates ranged from 27.3% and 34.2% in construction to only 1.4% and 9.3% in public services, respectively. The permanent layoff rate and the total permanent separation rate also differ noticeably by gender, age and firm size - in most industries, the rates are higher among male workers than among females, higher among younger workers, and higher among smaller employers.
While the permanent layoff rate increases during business cycle downturns and decreases during business cycle upswings, the reverse trend is observed with the total permanent separation rate. This is because the quit rate and the other permanent separation rate both decline during downturns and rise during upswings, more than offsetting the opposite trend associated with the permanent layoff rate.
These univariate-tabulation findings are confirmed in the multi-variate logistic regression results on the statistical determinants of permanent layoffs and total permanent separations. In most industries, after controlling for gender, age, firm size and time periods, the estimated likelihood of permanent layoffs is lower among female workers, decreases significantly with age and firm size, increases during recessions and decreases during recovery and expansion in most industries. The patterns of estimated incidence of total permanent separations are very similar to those of permanent layoffs except that total permanent separations decline during business cycle downturns and climb during business cycle upswings.
Permanently separated workers have had a much more difficult time in finding employment during the most recent recession than any other time in the past 15 years. Almost 40% of those who lost or left a job in 1989 did not have a job in 1993. This is in marked contrast with the experience of the early 1980s, when 29% of permanently separated workers were jobless 3 years after the separation. A very similar trend is found when the analysis is applied to labour market transitions among permanently laid-off workers.
There is a great deal of out-of-province migration among permanently separated workers who did find a job. Nearly 45% of those who lost or left a job in 1989 and found a job in 1993 were employed outside of Ontario. An identical proportion of permanently laid-off workers is found to be employed in other provinces.
Release date: 1997-10-31 - Articles and reports: 91F0015M1997003Geography: Canada, Province or territoryDescription:
For historical reasons, the best known life tables and those most often used are period tables. They are built using death rates by age for a short period of observation (often a single year) and have as their purpose to represent the status of mortality for this period. The survivors and deaths appearing in their columns are in a way abstractions rather than reality. It is thus erroneous to believe that the life table for a given year (for example, 1995) serves in any way whatever to predict the rate at which those born that year will pass away and, hence, of the average length of the life that they have just begun. With rare exceptions, the average number of years lived by individuals has always been longer than the life expectancy found in the life table constructed for the year of their birth. This is due to the fact that period tables are established using the risks of death by age prevailing in that year. But the ceaseless battle against death reduces these risks year after year for these ages and, by growing older, people benefit from these successive gains.
To reconstitute (or foresee) the rate at which the members of a cohort have (or will) really pass away, it is necessary to deploy very long series of death rates by age and to possess reliable indicators of missing data, and then to adjust them to establish the actual experience of the persons in a cohort. Built in exactly the same way as period tables, these tables are naturally called cohort tables, but comparing observations of their parameters yields conclusions of a different kind.
Release date: 1997-10-01 - 3. Canadian crime statistics, 1996 ArchivedArticles and reports: 85-002-X19970088229Geography: Canada, Province or territory, Census metropolitan areaDescription:
This report is an examination of crime data reported to the Uniform Crime Reporting (UCR) survey during 1996. The data are presented within the context of both short and long term trends. Every year since 1962, Canada's police agencies have reported incidents that come to their attention to the UCR survey. Analyses in this report focus on trends in violent crime, property crime, impaired driving offences, drug offences and yotuth crime. Crime rates are examined at the national, provincial/territorial and major metropolitan levels. The trend in Canada's crime rate is put into perspective by comparing it with trends in police-reported crime form the United States and England and Wales. Also, comparisons between Canadian crime statistics and results from a recent victimization survey are drawn. Specific types of violent crime such as "home- invasions", wife assault and violent incidents involving weapons continue to be a concern to Canadians. Due to limits in the way crime statistics are collected from Canada's police agencies, it has traditionally been difficults to measure these areas. While national statistics are still unavailable, this Juristat will, for the first time, present trends for these crimes as reported by a sample of police agencies from 1993 to 1996.
Release date: 1997-07-30
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- Articles and reports: 11F0019M1997106Geography: Canada, Province or territoryDescription:
This paper documents job turnover and labour market adjustment activities in the Ontario economy from 1978 to 1993. The following highlights the major findings. Both the permanent layoff rate and the total permanent separation rate vary substantially from one industry to another. In 1992, the permanent layoff and total permanent separation rates ranged from 27.3% and 34.2% in construction to only 1.4% and 9.3% in public services, respectively. The permanent layoff rate and the total permanent separation rate also differ noticeably by gender, age and firm size - in most industries, the rates are higher among male workers than among females, higher among younger workers, and higher among smaller employers.
While the permanent layoff rate increases during business cycle downturns and decreases during business cycle upswings, the reverse trend is observed with the total permanent separation rate. This is because the quit rate and the other permanent separation rate both decline during downturns and rise during upswings, more than offsetting the opposite trend associated with the permanent layoff rate.
These univariate-tabulation findings are confirmed in the multi-variate logistic regression results on the statistical determinants of permanent layoffs and total permanent separations. In most industries, after controlling for gender, age, firm size and time periods, the estimated likelihood of permanent layoffs is lower among female workers, decreases significantly with age and firm size, increases during recessions and decreases during recovery and expansion in most industries. The patterns of estimated incidence of total permanent separations are very similar to those of permanent layoffs except that total permanent separations decline during business cycle downturns and climb during business cycle upswings.
Permanently separated workers have had a much more difficult time in finding employment during the most recent recession than any other time in the past 15 years. Almost 40% of those who lost or left a job in 1989 did not have a job in 1993. This is in marked contrast with the experience of the early 1980s, when 29% of permanently separated workers were jobless 3 years after the separation. A very similar trend is found when the analysis is applied to labour market transitions among permanently laid-off workers.
There is a great deal of out-of-province migration among permanently separated workers who did find a job. Nearly 45% of those who lost or left a job in 1989 and found a job in 1993 were employed outside of Ontario. An identical proportion of permanently laid-off workers is found to be employed in other provinces.
Release date: 1997-10-31 - Articles and reports: 91F0015M1997003Geography: Canada, Province or territoryDescription:
For historical reasons, the best known life tables and those most often used are period tables. They are built using death rates by age for a short period of observation (often a single year) and have as their purpose to represent the status of mortality for this period. The survivors and deaths appearing in their columns are in a way abstractions rather than reality. It is thus erroneous to believe that the life table for a given year (for example, 1995) serves in any way whatever to predict the rate at which those born that year will pass away and, hence, of the average length of the life that they have just begun. With rare exceptions, the average number of years lived by individuals has always been longer than the life expectancy found in the life table constructed for the year of their birth. This is due to the fact that period tables are established using the risks of death by age prevailing in that year. But the ceaseless battle against death reduces these risks year after year for these ages and, by growing older, people benefit from these successive gains.
To reconstitute (or foresee) the rate at which the members of a cohort have (or will) really pass away, it is necessary to deploy very long series of death rates by age and to possess reliable indicators of missing data, and then to adjust them to establish the actual experience of the persons in a cohort. Built in exactly the same way as period tables, these tables are naturally called cohort tables, but comparing observations of their parameters yields conclusions of a different kind.
Release date: 1997-10-01 - 3. Canadian crime statistics, 1996 ArchivedArticles and reports: 85-002-X19970088229Geography: Canada, Province or territory, Census metropolitan areaDescription:
This report is an examination of crime data reported to the Uniform Crime Reporting (UCR) survey during 1996. The data are presented within the context of both short and long term trends. Every year since 1962, Canada's police agencies have reported incidents that come to their attention to the UCR survey. Analyses in this report focus on trends in violent crime, property crime, impaired driving offences, drug offences and yotuth crime. Crime rates are examined at the national, provincial/territorial and major metropolitan levels. The trend in Canada's crime rate is put into perspective by comparing it with trends in police-reported crime form the United States and England and Wales. Also, comparisons between Canadian crime statistics and results from a recent victimization survey are drawn. Specific types of violent crime such as "home- invasions", wife assault and violent incidents involving weapons continue to be a concern to Canadians. Due to limits in the way crime statistics are collected from Canada's police agencies, it has traditionally been difficults to measure these areas. While national statistics are still unavailable, this Juristat will, for the first time, present trends for these crimes as reported by a sample of police agencies from 1993 to 1996.
Release date: 1997-07-30
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