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This article looks at Canadians' incomes and expeditures in the 20th century.

This article looks briefly at changes in health in the 20th century, with special focus on the concerns of Canadians in childhood, mid-life and old age.

This article traces the development of Canada from a rural to an urban society in the 20th century.

This article looks at the effect of declining religious attendance on social cohesion in the general society.

This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces and three territories. (The three territories are surveyed every second year.)

This guide includes definitions of survey terms and variables and descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

All provinces and territories set minimum wages in their employment standards legislation. This update uses the Labour Force Survey to examine the characteristics of those who work at or below the minimum wage for experienced adults in each jurisdiction. The incidence of working for minimum wage has increased each year since 2006 but remains concentrated among youth, particularly young women.

The loss of manufacturing jobs can affect other sectors of the economy, particularly when local employment is heavily concentrated in manufacturing. This article covers income, low-income incidence and Employment Insurance use, in regions with varying concentrations of manufacturing employment. The article focuses on the period from 2000 the most recent peak in manufacturing employment to 2007 the last full year of economic growth.

Recent studies have demonstrated the quantitative importance of entry, exit, growth and decline in the industrial population. It is this turnover that rewards innovative activity and contributes to productivity growth.

While the size of the entry population is impressive - especially when cumulated over time - the importance of entry is ultimately due to its impact on innovation in the economy. Experimentation is important in a dynamic, market-based economy. A key part of the experimentation comes from entrants. New entrepreneurs constantly offer consumers new products both in terms of the basic good and the level of service that accompanies it.

This experimentation is associated with significant costs since many entrants fail. Young firms are most at risk of failure; data drawn from a longitudinal file of Canadian entrants in both the goods and service sectors show that over half the new firms that fail do so in the first two years of life. Life is short for the majority of entrants. Only 1 in 5 new firms survive to their tenth birthday.

Since so many entrants fall by the wayside, it is of inherent interest to understand the conditions that are associated with success, the conditions that allow the potential in new entrepreneurs to come to fruition. The success of an entrant is due to its choosing the correct combination of strategies and activities. To understand how these capabilities contribute to growth, it is necessary to study how the performance of entrants relates to differences in strategies and pursued activities.

This paper describes the environment and the characteristics of entrants that manage to survive and grow. In doing so, it focuses on two issues. The first is the innovativeness of entrants and the extent to which their growth depends on their innovativeness. The second is to outline how the stress on worker skills, which is partially related to training, complements innovation and contributes to growth.

Using three waves (1982, 1986, 1990) of the National Graduate Survey (NGS) we analyze the time it takes graduates of Canadian universities to start a full time job that lasts six months or more. We analyze duration to first job using the Cox proportional hazards model. Our results suggest large differences in the speed of the transition to work both within and between cohorts. They also suggest that the differences in duration to first job across NGS cohorts are not just driven by differences in business cycle conditions at the time of graduation. Over certain segments of duration the patterns of job-starting are similar across cohorts. Within cohorts the differences in the school-to-work transition across certain demographic groups are small, and for some the differences remain stable across cohorts.

This paper examines how food service providers and food stores competed for Canadians' food dollars in the 1990s, and how this intense competition affected both industries. The paper outlines some reasons for changes in both the demand for, and supply of, each industry's outputs. It also profiles in detail some characteristics of the consumer market for food services.

The publication provides principal statistics of the logging industry including number of establishments, number of employees, salaries and wages, cost of fuel and electricity, cost of materials, value of shipments and value added. It also presents commodity detail by province on inputs and outputs and estimates of total forest production, by products and by province. A data analysis, definitions and notes, a bibliography and a list of establishments by province are also included.

Montreal-Toronto was the top domestic market in 1998 for passengers on scheduled flights, followed by the Toronto-Vancouver market. Toronto-Vancouver was the top market for passengers on charter flights, followed by the Montreal-Toronto market.

Text Table 2.1 shows the change in the relationship between passenger counts and population for the ten most-frequented Canadian cities over the years 1973, 1993 and 1998.

Text Table 3.1 shows the relationship between passengers and population for each province and territory. In this table, passengers are assigned to each province/territory based on the ticket origin.

In this paper, the proportion of passengers flying within Canada that reach their destination on a direct flight is measured in order to assess the service that is offered by the carriers.

This on-line publication presents statistics and analysis on the volume of domestic air passenger traffic generated at Canadian cities and carried between pairs of Canadian points. The data may be used to indicate the relative community of interest between Canadian cities.

Revenues of private television broadcasters reached $1,862.9 in 1999, an increase of 2.2% from 1998. This increase is modest when compared to the two previous years where revenues grew 7.0% and 6.3% respectively. There was very little change in the relative importance of sources of revenues; the sale of air time accounted for 94.1% of revenues compared to 94.6% a year earlier.

To provide data users with a more complete picture of the activies associated with the Couriers and Local Messengers industry.

Revenues of private radio broadcasters reached $971.9 million in 1999, an increase of 3.2% from 1998. This increase is modest when compared to the two previous years where revenues rose 8.1% and 7.5% respectively.

Data on furniture and fixture industries clearly show the tremendous expansion period affecting these industries. Several establishments have taken advantage of the favourable economic conditions and the openness of North American markets to increase their deliveries to the United States. Foreign markets have been the driving force behind the furniture and fixture industries' growth in the past decade, since large establishments generally have more resources to break into these markets.

In the final paper of this special issue, Estevao and Särndal consider two types of design-based estimators used for domain estimation. The first, a linear prediction estimator, is built on the principle of model fitting, requires known auxiliary information at the domain level, and results in weights that depend on the domain to be estimated. The second, a uni-weight estimator, has weights which are independent of the domain being estimated and has the clear advantage that it does not require the calculation of different weight systems for each different domain of interest. These estimators are compared and situations under which one is preferred over the other are identified.

This study uses data to study differences in labour productivity gains across domestic and foreign-controlled establishments in the manufacturing sector for the period 1973 to 1993. In doing so, it also examines the extent to which labour productivity differences exist between small and large establishments and across industry sectors and how they have been changing over time.

The analysis consists of three parts. In the first section, the connection between labour usage and output is examined. This analysis investigates differences in marginal labour propensities for the different subgroups in the short and long-run. Here volatility is seen to be lower for foreign-controlled establishments. The second section examines the difference between the growth in average labour productivity for the same groups. Here foreign-controlled establishments are seen to have the highest growth rates. The third section investigates whether any trend can be found in the rates of growth for large and small, domestic and foreign establishments and finds that these differences have been increasing over time.

Foreign ownership in the Canadian telecommunications industry has always been an important policy issue, and recent events have further emphasized the significance of this topic.

The purpose of this short report is to provide basic information on the relative importance of the different players in the industry.

In recent years, several economic forces have caused a change in the structure of the economy. Factors such as globalization and trade liberalization, among others, have intensified competition resulting in reallocation of resources among sectors in Canada. As business services, communications and wholesale trade emerged as engines of growth, it is generally perceived that the manufacturing industry has lost its significance. In contrast, a review of historical data on the Gross Domestic Product (GDP) show that the share of manufacturing output was slightly up, from 17.2% in 1961 to 17.8% in 1998.

This paper reflects upon the importance of manufacturing in the economy and focuses on one industry - Primary Textiles. It concentrates on the evolution and significance of this industry within an overall changing economic structure using Statistics Canada's data base, CANSIM, results of the Annual Survey of Manufactures (1988 to 1997) along with current findings of the Monthly Survey of Manufacturing (1998 and 1999).

The latest issue consists of the article "Strong growth propels the electrical and electronic products industry into the 21st century" by Russell Kowaluk. Despite the recent turmoil in global stock markets, manufacturing in Canada is finally reaping the benefits of prosperity on many accounts, and such positive indicators are prevalent in one of Canada's more innovative, and dynamic industries, the electrical and electronic products industry (Major Group 33). Following a brief pause in 1996, the value of shipments surpassed the $30 billion mark in 1997. Employment levels recorded their strongest growth in ten years, while international trade estimates again achieved record highs.

This review paper highlights the results of the 1997 Annual Survey of Manufactures (ASM), and details various prevailing economic indicators, illustrating the growth in the electrical and electronic products industry. These factors will be highlighted and analyzed, and the electrical and electronic products sector will be compared to other industries and measured relative to the manufacturing sector as a whole. Key current indicators to be investigated include the value of shipments and costs of production, international trade and labor statistics.

This study investigates the determinants of failure for new Canadian firms. It explores the role that certain factors play in conditioning the likelihood of survival - factors related to industry structure, firm demographics and macroeconomic cycles. It asks whether the determinants of failure are different for new start-ups than for firms that have reached adolescence, and if the magnitude of these differences is economically significant. It examines whether, after controlling for certain influences, failure rates differ across industries and provinces.

Two themes figure prominently in this analysis. The first is the impact that certain industry characteristics - such as average firm size and concentration - have on the entry/exit process, either through their influence on failure costs or on the intensity of competition. The second centres on how the dimensions of failure evolve over time as new firms gain market experience.

This paper presents data from several of the most important income series. These integrated series use the Survey of Consumer Finances (SCF) data up to and including reference year 1995. From 1996 onwards, the data come from the Survey of Labour and Income Dynamics (SLID).

The most recent issue contains "Non-Electrical machinery industries post strong growth in 1997, with market uncertainty on the horizon" by Russell Kowaluk. Based on statistical information provided by the Annual Survey of Manufactures (ASM), this article explores the machinery industries (except electrical machinery), discussing various key statistics including shipment value, input costs and labour information. Other significant economic indicators to be assessed include monthly manufacturing estimates, international trade statistics, and rates of capacity utilization and investment.

Canada's machinery industries remained one of the fastest growing manufacturing sectors in 1997. However, during the later half of 1998 and into 1999, recent developments confirm that the tide of prosperity the industry has benefited from in recent years has tapered off. The ensuing article discusses the industry, detailing the results of the 1997 ASM, and highlighting the economic climate now challenging the sector.

The economic performance of this industry is examined through its value of shipments, trade performance, capital expenditures and, employment trends. All four variables point to growth and another year of recovery from the recession of the early 1990s. The Free Trade Agreements and construction activities are the driving forces behind this decade's trends for the non-metallic mineral products industries.

Often, the same information is gathered almost simultaneously for several different surveys. In France, this practice is institutionalized for household surveys that have a common set of demographic variables, i.e., employment, residence and income. These variables are important co-factors for the variables of interest in each survey, and if used carefully, can reinforce the estimates derived from each survey. Techniques for calibrating uncertain data can apply naturally in this context. This involves finding the best unbiased estimator in common variables and calibrating each survey based on that estimator. The estimator thus obtained in each survey is always a linear estimator, the weightings of which can be easily explained and the variance can be obtained with no new problems, as can the variance estimate. To supplement the list of regression estimators, this technique can also be seen as a ridge-regression estimator, or as a Bayesian-regression estimator.

The U.S. Consumer Expenditure Survey uses two instruments, a diary and an in-person interview, to collect data on many categories of consumer expenditures. Consequently, it is important to use these data efficiently to estimate mean expenditures and related parameters. Three options are: (1) use only data from the diary source; (2) Use only data from the interview source; and (3) use generalized least squares, or related methods, to combine the diary and interview data. Historically, the U.S. Bureau of Labor Statistics has focused on options (1) and (2) for estimation at the five or six-digit Universal Classification Code level. Evaluation and possible implementation of option (3) depends on several factors, including possible measurement biases in the diary and interview data; the empirical magnitude of these biases, relative to the standard errors of customary mean estimators; and the degree of homogeneity of these biases across strata and periods. This paper reviews some issues related to options (1) through (3); describes a relatively simple generalized least squares method for implementation of option (3); and discussed the need for diagnostics to evaluate the feasibility and relative efficiency of the generalized least squares method.

The geographical and temporal relationship between outdoor air pollution and asthma was examined by linking together data from multiple sources. These included the administrative records of 59 general practices widely dispersed across England and Wales for half a million patients and all their consultations for asthma, supplemented by a socio-economic interview survey. Postcode enabled linkage with: (i) computed local road density; (ii) emission estimates of sulphur dioxide and nitrogen dioxides, (iii) measured/interpolated concentration of black smoke, sulphur dioxide, nitrogen dioxide and other pollutants at practice level. Parallel Poisson time series analysis took into account between-practice variations to examine daily correlations in practices close to air quality monitoring stations. Preliminary analyses show small and generally non-significant geographical associations between consultation rates and pollution markers. The methodological issues relevant to combining such data, and the interpretation of these results will be discussed.

The artificial sample was generated in two steps. The first step, based on a master panel, was a Multiple Correspondence Analysis (MCA) carried out on basic variables. Then, "dummy" individuals were generated randomly using the distribution of each "significant" factor in the analysis. Finally, for each individual, a value was generated for each basic variable most closely linked to one of the previous factors. This method ensured that sets of variables were drawn independently. The second step consisted in grafting some other data bases, based on certain property requirements. A variable was generated to be added on the basis of its estimated distribution, using a generalized linear model for common variables and those already added. The same procedure was then used to graft the other samples. This method was applied to the generation of an artificial sample taken from two surveys. The artificial sample that was generated was validated using sample comparison testing. The results were positive, demonstrating the feasibility of this method.

Electricity rates that vary by time-of-day have the potential to significantly increase economic efficiency in the energy market. A number of utilities have undertaken economic studies of time-of-use rates schemes for their residential customers. This paper uses meta-analysis to examine the impact of time-of-use rates on electricity demand pooling the results of thirty-eight separate programs. There are four key findings. First, very large peak to off-peak price ratios are needed to significantly affect peak demand. Second, summer peak rates are relatively effective compared to winter peak rates. Third, permanent time-or-use rates are relatively effective compared to experimental ones. Fourth, demand charges rival ordinary time-of-use rates in terms of impact.

We use data on 14 populations of coho salmon to estimate critical parameters that are vital for management of fish populations. Parameter estimates from individual data sets are inefficient and can be highly biased, and we investigate methods to overcome these problems. Combination of data sets using nonlinear mixed effects models provides more useful results, however questions of influence and robustness are raised. For comparison, robust estimates are obtained. Model-robustness is also explored using a family of alternative functional forms. Our results allow ready calculation of the limits of exploitation and may help to prevent extinction of fish stocks. Similar methods can be applied in other contexts where parameter estimation is part of a larger decision-making process.

This user's guide provides a detailed description of the CD-ROM Income trends in Canada (13F0022XCB). It also provides a glossary, a description of the major concepts as well as an overview of the data source, the Survey of Consumer Finances.

This paper outlines the process of delineating the agricultural land base (ecumene) in Canada based on data from the 1991 Census of Agriculture.

This paper reconstructs the development and evolution of the Canadian agricultural statistical system. It describes the expanding and increasingly important role of administrative data, which is integrated into survey and census information in order to complement, supplement or replace survey information or to assist with frame maintenance.

This paper describes the experiences, the issues and the expectations of the many different players involved in the implementation of document imaging for the Canadian Census of Agriculture.