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Statistics presented are derived from a survey of nine Provincial Research Organizations (PRO): the InNOVAcorp (formerly the Nova Scotia Research Foundation Corporation), the New Brunswick Research and Productivity Council, the "Centre de recherche industrielle du Québec (CRIQ)", the Industrial Technology Centre (Manitoba) (formerly the Economic Innovation and Technology Council), the Saskatchewan Research Council, the Alberta Research Council, the Yukon Research Institute, the NUNAVUT Research Institute (formerly the Science Institute of the Northwest Territories) and the Aurora Research Institute.

Businesses have embraced the use of information and communications technologies such as e-mail, and the Internet and the personal computer or PC are widely used in most businesses. Use of computers among enterprises was high at 81.9%. The Internet, originally designed as a communications medium for researchers, is now being adopted by many other groups. The Internet was used by 52.8% of enterprises and these enterprises accounted for three-quarters of economic activity.

The proportion of enterprises with Web sites was 21.7% and these enterprises account for 44.8% of economic activity for the private sector. Among other uses, the Internet was used to purchase goods and services by 13.8% of enterprises and by 10.1% to sell goods and services. Significant variation exists in the levels of information and communications technologies use across industries.

The public sector is a model user of information and communications technologies. The proportion of institutions in public health, education, and federal and provincial governments using the Internet and e-mail, and having Internet Web sites is significantly higher than it is for the private sector. Over 95 % of institutions in the public sector use the Internet, 96.6% use e-mail and 69.2% have an Internet Web site.

The volume of Internet-based sales reported was $4.4 billion, of which $4.2 billion was for the private sector and $200 million for the public sector. Total private sector Internet based sales accounted for 0.2% of economic activity in terms of total operating revenue.

For non-Internet users the most important reason for not using the Internet to purchase or sell goods or services was the belief that their goods or services do not lend themselves to concluding transactions over the Internet. Among Internet users, the most popular reason given for not using the Internet to purchase or sell was that they prefer to maintain their current business model.

This article compares the characteristics of the 10 largest independent film and video producers, as measured by production revenues, with all the others, over a 10-year period starting in 1988/89.

The economy was strong in 1999 and while consumers were interested in big-ticket items such as automobiles in the first quarter of the year their attention turned to services later in the year.

Canadians exhibited a dramatic shift in their sport participation rate from 1992 to 1998. According to the latest information released from Statistics Canada's General Social Survey (GSS), fewer Canadians aged 15 years and older reported participating in a sport in 1998 than six years earlier (down almost 11 percentage points).

In 1999, as part of its General Social Survey program, Statistics Canada conducted a survey on victimization and public perceptions of crime and the justice system. It was the third time that the General Social Survey (GSS) had examined victimization - previous surveys were conducted in 1993 and 1988.

For the 1999 survey, interviews were conducted by telephone with approximately 26,000 people, aged 15 and older, living in the 10 provinces. Respondents were asked for their opinions concerning the level of crime in their neighbourhood, their fear of crime and their views concerning the performance of the justice system. They were also asked about their experiences with criminal victimization. Those respondents who had been victims of a crime in the previous 12 months were asked for detailed information on each incident, including when and where it occurred; whether the incident was reported to the police; and how they were affected by the experience.

This Juristat presents an overview of the findings of the 1999 General Social Survey and makes comparisons to results from 1993 and 1988.

Retirement issues have risen to the forefront of socio-economic debate in Canada through the nineties and will likely gain importance as we enter the new millennium. Employer pension plans are one of the primary programs in place to provide workers with income after retirement.

Pension plans in Canada: statistical highlights and key tables presents information on the terms, conditions and membership on all employers sponsored pension plans in Canada. This supplement to publication Pension plans in Canada (74-401-XIB) provides analysis and data on registered pension plans. The topics covered include province of employment, labour force/paid workers coverage, type of plan (defined benefit and defined contributions), size of plan, public and private sectors, contributory and non-contributory plans, employee and employer contributions.

This publication presents current and constant price estimates of provincial gross domestic product (GDP) for over 50 industries covering the entire Canadian economy, including aggregates and special industry groupings. The document also includes a comprehensive analytical review of the economy of each province and territory with summary text, tables and charts.

This article looks at the fast-growing Computer Services industry in Canada, with a particular focus on software developers, data processing firms, systems consultants, and Internet service providers.

This article examines trends in teenage pregnancy in Canada, focussing on induced abortions, live births and fetal loss among women aged 15 to 19 in 1997.

The third edition of Canadian culture in perspective: a statistical overview, provides a comprehensive statistical portrait of the health and vitality of cultural activities and industries in Canada. This compendium incorporates data from all surveys in Statistics Canada's Culture Statistics Program, as well as data from other internal and external sources, enabling readers to track various themes and trends over time.

This edition contains sections on: the economic impact of the culture sector, culture activities by tourists and the international trade position of the culture sector; on social dimensions of culture, including characteristics of the cultural labour force, philanthropic behaviour, and the consumers of cultural goods and services; and on various sectors such as heritage, the performing arts and festivals, visual arts and libraries. It also explores ownership and content issues in the culture industries (publishing, film, broadcasting and music).

Canada's ports handled a record 382.0 million tonnes (Mt.) of cargo in 1999 and a record of 2.2 million TEURS (twenty-foot-equivalent units) of containers.

Third quarter 1999 operating ratios for top carriers improved by one point over the same period one year earlier to 0.93 but were unchanged in the fourth quarter (0.94). Average revenue per carrier grew by 3% in the third quarter and 4% in the fourth quarter.

Retirement issues have risen to the forefront of socio-economic debate in Canada through the nineties and will likely gain importance as we enter the new millennium. Employer pension plans are one of the primary programs in place to provide workers with income after retirement.

Pension plans in Canada: statistical highlights and key tables presents information on the terms, conditions and membership on all employers sponsored pension plans in Canada. This supplement to publication Pension plans in Canada (74-401-XIB) provides analysis and data on registered pension plans. The topics covered include province of employment, labour force/paid workers coverage, type of plan (defined benefit and defined contributions), size of plan, public and private sectors, contributory and non-contributory plans, employee and employer contributions.

This publication presents current and constant price estimates of provincial gross domestic product (GDP) for over 50 industries covering the entire Canadian economy, including aggregates and special industry groupings. The document also includes a comprehensive analytical review of the economy of each province and territory with summary text, tables and charts.

The Vancouver-San Francisco market experienced the largest year-over-year increase in passengers of all the major markets between 1997 and 1998. Toronto-Milwaukee was the mid-sized market which experienced the largest year-over-year increase, with 25,520 more passengers in 1998 than 1997.

The volume of air travel between the Canadian cities and American states presented in Text Table 2.1 generally reflects the underlying large inter-city markets.

The Canada-United States Open Skies Agreement, which was signed on February 24 1995, transformed the regulatory environment for air services between two countries. Text Table 3.1 shows the changes in the level of travel between the U.S. and the eight most-frequented Canadian cities since 1995.

Scheduled air trips to or from Ontario, British Columbia and Alberta represented a greater proportion of total Canada-United States air travel than residents of these provinces represented of the total Canadian population. Alberta residents represented 9.6% of Canada's total population in 1998, while Alberta represented 11.8% of the total number of Canada-U.S. air travellers. Even more markedly, the populations of Ontario and British Columbia represented 37.7% and 13.2% respectively of the total Canadian population, while Ontario represented 44.4% of total Canada-U.S. travelers and British Columbia represented 20.8%.

North American transportation in figures provides a comprehensive set of comparable statistical indicators of the use, performance and impact of transportation in North America. It includes over 90 different data tables, supported by figures, maps and extensive technical documentation describing data categories and definitions relating to each country, that is, Canada, Mexico and the United States. The report covers a wide variety of transportation subjects across the three countries: including transportation and the economy; safety; merchandise trade; freight activity; passenger travel; infrastructure; and transportation energy and environment.

This article examines the issue of non-union members who are covered by collective agreements, comparing the Canadian picture in the late 1990s with that of the United States. An accompanying update, which covers the first half of 2000, provides Perspectives annual socio-demograhic and economic profile of union members.

For some time, concerns have been raised about the movement of young people away from rural areas, mainly to find work. This article provides information on the extent to which youths stay, leave or return to rural communities. (Adapted from a recently published analytical report.)

The correlation of occupational gender composition and wages is the basis of pay equity/comparable worth legislation. A number of previous studies have examined this correlation in US data, identifying some of the determinants of low wages in "female jobs", as well as important limitations of public policy in this area. There is little evidence, however, from other jurisdictions. This omission is particularly disturbing in the case of Canada, which now has some of the most extensive pay equity legislation in the world. In this paper, we provide a comprehensive picture, circa the late 1980's, of the occupational gender segregation in Canada and its consequences for wages. We also draw explicit comparisons of our findings to evidence for the United States. We find that the link between female wages and gender composition is much stronger in the United States than in Canada, where it is generally small and not statistically significant. The relatively more advantageous position of women in female jobs in Canada is found to be linked to higher unionization rates and the industry-wage effects of "public goods" sectors.

This paper addresses the topic of inter-provincial migration in terms of the basic question: "who moves?" Panel logit models of the probability of moving from one year to the next are estimated using samples derived from the Longitudinal Administrative Database covering the period 1982-95. Explanatory variables include "environmental" factors, personal characteristics, labour market attributes, and a series of year variables. Separate models are estimated for eight age-sex groups.

The major findings include that: i) migration rates have been inversely related to the size of the province, presumably capturing economic conditions, labour market scale effects, and pure geographical distance, while language has also played an important role; ii) residents of smaller cities, towns, and especially rural areas have been less likely to move than individuals in larger cities; iii) age, marriage, and the presence of children have been negatively related to mobility, for both men and women; iv) migration has been positively related to the provincial unemployment rate, the individuals' receipt of unemployment insurance (except Entry Men), having no market income (except for Entry Men and Entry Women), and the receipt of social assistance (especially for men); v) beyond the zero earnings point, migration has been positively related to earnings levels for prime aged men, but not for others, and these effects are generally small (holding other factors constant); vi) there were no dramatic shifts in migration rates over time, but men's rates dropped off a bit in the 1990s while women's rates (except for the Entry group) generally held steadier or rose slightly, indicating a divergence in trends along gender lines.

There has been for some time substantial concern regarding the loss of young people in rural communities. There is a sense that most rural communities offer few opportunities for their younger people, requiring them to leave for urban communities, most likely not to return. While there is a considerable body of research on interprovincial migration, relatively little is currently known about migration patterns in rural and urban areas in Canada.

According to our analysis, in virtually all provinces young people 15 to 19 years of age are leaving rural areas in greater proportions than urban areas - in part to pursue post-secondary education. While there are more complex migration patterns affecting the 20-29 age group, the net result of all migration is that the Atlantic provinces - as well as Manitoba and Saskatchewan - are net losers of their rural population aged 15-29. The problem is particularly acute in Newfoundland. In the Atlantic provinces, rural areas which fare worse than the national average - in terms of net gains of youth population - do so not because they have a higher than average percentage of leavers but rather because they are unable to attract a sufficiently high proportion of individuals into their communities.

Of all individuals who move out of their rural community, at most 25% return to this community ten years later. The implication of this result is clear: one cannot count on return migration as a means of preserving the population size of a given cohort. Rather, rural areas must rely on inflows from other (urban) areas to achieve this goal. Some rural communities achieve this; that is, they register positive net in-migration of persons aged 25-29 or older, even though they incur a net loss of younger people.

Individuals who move out of rural areas generally experience higher earnings growth than their counterparts who stay. However, it remains an open question in which direction the causality works: is the higher earnings growth the result of the migration process itself or does it reflect the possibility that people with higher earnings growth potential are more likely to become movers?

This article explores regional differences among students who drop out of Canadian universities and community colleges.

This article explores the effects of increasing costs on university attendance and the subsequent labour market outcomes of graduates.

This paper examines the characteristics of young people who responded to the 1991 School Leavers Survey (SLS), but who subsequently failed to respond to the 1995 School Leavers Follow-up Survey (SLF).

Fabricated metal products industries remain in the middle of an expansion period. The construction sector's vitality, as well as the high North-American demand for industrial products, allow metal products manufacturers to live glorious days. However, where competitiveness is concerned, there could be trouble in paradise. In the last few years, the cost of labour has been on the rise, while the value added for each paid hour has been weakening. Moreover, imports have been increasing at a higher pace than exports in the last two years.

This paper describes the methodology for the longitudinal and cross-sectional weights produced by the Survey of Labour and Income Dynamics (SLID). It also presents problems the survey has encountered and proposed solutions.

Much work on probabilistic methods of linkage can be found in the statistical literature. However, although many groups undoubtedly still use deterministic procedures, not much literature is available on these strategies. Furthermore there appears to exist no documentation on the comparison of results for the two strategies. Such a comparison is pertinent in the situation where we have only non-unique identifiers like names, sex, race etc. as common identifiers on which the databases are to be linked. In this work we compare a stepwise deterministic linkage strategy with the probabilistic strategy, as implemented in AUTOMATCH, for such a situation. The comparison was carried out on a linkage between medical records from the Regional Perinatal Intensive Care Centers database and education records from the Florida Department of Education. Social security numbers, available in both databases, were used to decide the true status of the record pair after matching. Match rates and error rates for the two strategies are compared and a discussion of their similarities and differences, strengths and weaknesses is presented.

The fusion sample obtained by a statistical matching process can be considered a sample out of an artificial population. The distribution of this artificial population is derived. If the correlation between specific variables is the only focus the strong demand for conditional independence can be weakened. In a simulation study the effects of violations of some assumptions leading to the distribution of the artificial population are examined. Finally some ideas concerning the establishing of the claimed conditional independence by latent class analysis are presented.

Following the problems with estimating underenumeration in the 1991 Census of England and Wales the aim for the 2001 Census is to create a database that is fully adjusted to net underenumeration. To achieve this, the paper investigates weighted donor imputation methodology that utilises information from both the census and census coverage survey (CCS). The US Census Bureau has considered a similar approach for their 2000 Census (see Isaki et al 1998). The proposed procedure distinguishes between individuals who are not counted by the census because their household is missed and those who are missed in counted households. Census data is linked to data from the CCS. Multinomial logistic regression is used to estimate the probabilities that households are missed by the census and the probabilities that individuals are missed in counted households. Household and individual coverage weights are constructed from the estimated probabilities and these feed into the donor imputation procedure.

To reach their target audience efficiently, advertisers and media planners need information on which media their customers use. For instance, they may need to know what percentage of Diet Coke drinkers watch Baywatch, or how many AT&T customers have seen an advertisement for Sprint during the last week. All the relevant data could theoretically be collected from each respondent. However, obtaining full detailed and accurate information would be very expensive. It would also impose a heavy respondent burden under current data collection technology. This information is currently collected through separate surveys in New Zealand and in many other countries. Exposure to the major media is measured continuously, and product usage studies are common. Statistical matching techniques provide a way of combining these separate information sources. The New Zealand television ratings database was combined with a syndicated survey of print readership and product usage, using statistical matching. The resulting Panorama service meets the targeting information needs of advertisers and media planners. It has since been duplicated in Australia. This paper discusses the development of the statistical matching framework for combining these databases, and the heuristics and techniques used. These included an experiment conducted using a screening design to identify important matching variables. Studies evaluating and validating the combined results are also summarized. The following three major evaluation criteria were used; accuracy of combined results, statibility of combined results and the preservation of currency results from the component databases. The paper then discusses how the prerequisites for combining the databases were met. The biggest hurdle at this stage was the differences between the analysis techniques used on the two component databases. Finally, suggestions for developing similar statistical matching systems elsewhere will be given.

Data fusion as discussed here means to create a set of data on not jointly observed variables from two different sources. Suppose for instance that observations are available for (X,Z) on a set of individuals and for (Y,Z) on a different set of individuals. Each of X, Y and Z may be a vector variable. The main purpose is to gain insight into the joint distribution of (X,Y) using Z as a so-called matching variable. At first however, it is attempted to recover as much information as possible on the joint distribution of (X,Y,Z) from the distinct sets of data. Such fusions can only be done at the cost of implementing some distributional properties for the fused data. These are conditional independencies given the matching variables. Fused data are typically discussed from the point of view of how appropriate this underlying assumption is. Here we give a different perspective. We formulate the problem as follows: how can distributions be estimated in situations when only observations from certain marginal distributions are available. It can be solved by applying the maximum entropy criterium. We show in particular that data created by fusing different sources can be interpreted as a special case of this situation. Thus, we derive the needed assumption of conditional independence as a consequence of the type of data available.

The effect of the environment on health is of increasing concern, in particular the effects of the release of industrial pollutants into the air, the ground and into water. An assessment of the risks to public health of any particular pollution source is often made using the routine health, demographic and environmental data collected by government agencies. These datasets have important differences in sampling geography and in sampling epochs which affect the epidemiological analyses which draw them together. In the UK, health events are recorded for individuals, giving cause codes, a data of diagnosis or death, and using the unit postcode as a geographical reference. In contrast, small area demographic data are recorded only at the decennial census, and released as area level data in areas distinct from postcode geography. Environmental exposure data may be available at yet another resolution, depending on the type of exposure and the source of the measurements.

As the population ages, a greater demand for long-term care services and, in particular, nursing homes is expected. Policy analysts continue to search for alternative, less costly forms of care for the elderly and have attempted to develop programs to delay or prevent nursing-home entry. Health care administrators required information for planning the future demand for nursing-home services. This study assesses the relative importance of predisposing, enabling, and need characteristics in predicting and understanding nursing-home entry.

A population needs-based health care resource allocation model was developed and applied using age, sex and health status of populations to measure population need for health care in Ontario. To develop the model, provincial data on self-assessed health and health service utilization by age and sex from 62,413 respondents to the 1990 Ontario Health Survey (OHS) were used in combination with provincial health care expenditure data for the fiscal year 1995/96 by age and sex. The model was limited to the services that were covered in the OHS (general practitioner, specialist physician, optometry, physiotherapy, chiropractic and acute hospital). The distribution of utilization and expenditures between age-sex-health status categories was used to establish appropriate health care resource shares for each age-sex-health status combination. These resource shares were then applied to geographic populations using age, sex and health status data from the OHS together with more recent population estimates to determine the needs-based health care resource allocation for each area. Total dollar allocations were restricted to sum to the 1995/96 provincial budget and were compared with 1995/96 allocations to determine the extent to which Ontario allocations are consistent with the relative needs of the area populations.

To augment the amount of available information, data from different sources are increasingly being combined. These databases are often combined using record linkage methods. When there is no unique identifier, a probabilistic linkage is used. In that case, a record on a first file is associated with a probability that is linked to a record on a second file, and then a decision is taken on whether a possible link is a true link or not. This usually requires a non-negligible amount of manual resolution. It might then be legitimate to evaluate if manual resolution can be reduced or even eliminated. This issue is addressed in this paper where one tries to produce an estimate of a total (or a mean) of one population, when using a sample selected from another population linked somehow to the first population. In other words, having two populations linked through probabilistic record linkage, we try to avoid any decision concerning the validity of links and still be able to produce an unbiased estimate for a total of the one of two populations. To achieve this goal, we suggest the use of the Generalised Weight Share Method (GWSM) described by Lavallée (1995).

The application of dual system estimation (DSE) to matched Census / Post Enumeration Survey (PES) data in order to measure net undercount is well understood (Hogan, 1993). However, this approach has so far not been used to measure net undercount in the UK. The 2001 PES in the UK will use this methodology. This paper presents the general approach to design and estimation for this PES (the 2001 Census Coverage Survey). The estimation combines DSE with standard ratio and regression estimation. A simulation study using census data from the 1991 Census of England and Wales demonstrates that the ratio model is in general more robust than the regression model.