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Description:

This issue presents statistics, derived from the Importer Register Database, on importing establishments for the years 2002 to 2009. This Importer Register Database provides importer statistics such as the number of importers and the value of their imports by industry, importer size, origin and province of residence.

The establishment is the statistical unit of measure. Consequently, any reference made here to "importers" represents "statistical establishments that imported." Inclusion in the database requires that an establishment has imported merchandise in at least one year from 2002 to 2009. If an establishment does not import in a given year, that establishment is not included in the Register for that year.

This report is divided into four sections: "Highlights" consist of an overview of results of the 2009 Importer Register Database; "Findings" contains more detailed analyses of the Importer Register Database; "Methodology, Data concepts and definitions" outlines the estimation methods and limitations as well as the fundamental principles of the Importer Register Database; and "Data tables" contain tabular data for the years from 2002 to 2009.

Description:

This issue presents exporter statistics from 1996 to 2009 including the number of exporters, the value of their domestic exports by industry, exporter size, destination and province of residence as well as employment statistics of exporting establishments for the year 2009. The data in this issue are at the establishment level and are derived from the Exporter Register Database.

Description:

Dual frame telephone surveys are becoming common in the U.S. because of the incompleteness of the landline frame as people transition to cell phones. This article examines nonsampling errors in dual frame telephone surveys. Even though nonsampling errors are ignored in much of the dual frame literature, we find that under some conditions substantial biases may arise in dual frame telephone surveys due to these errors. We specifically explore biases due to nonresponse and measurement error in these telephone surveys. To reduce the bias resulting from these errors, we propose dual frame sampling and weighting methods. The compositing factor for combining the estimates from the two frames is shown to play an important role in reducing nonresponse bias.

Description:

Data linkage is the act of bringing together records that are believed to belong to the same unit (e.g., person or business) from two or more files. It is a very common way to enhance dimensions such as time and breadth or depth of detail. Data linkage is often not an error-free process and can lead to linking a pair of records that do not belong to the same unit. There is an explosion of record linkage applications, yet there has been little work on assuring the quality of analyses using such linked files. Naively treating such a linked file as if it were linked without errors will, in general, lead to biased estimates. This paper develops a maximum likelihood estimator for contingency tables and logistic regression with incorrectly linked records. The estimation technique is simple and is implemented using the well-known EM algorithm. A well known method of linking records in the present context is probabilistic data linking. The paper demonstrates the effectiveness of the proposed estimators in an empirical study which uses probabilistic data linkage.

Description:

In this paper we study small area estimation using area level models. We first consider the Fay-Herriot model (Fay and Herriot 1979) for the case of smoothed known sampling variances and the You-Chapman model (You and Chapman 2006) for the case of sampling variance modeling. Then we consider hierarchical Bayes (HB) spatial models that extend the Fay-Herriot and You-Chapman models by capturing both the geographically unstructured heterogeneity and spatial correlation effects among areas for local smoothing. The proposed models are implemented using the Gibbs sampling method for fully Bayesian inference. We apply the proposed models to the analysis of health survey data and make comparisons among the HB model-based estimates and direct design-based estimates. Our results have shown that the HB model-based estimates perform much better than the direct estimates. In addition, the proposed area level spatial models achieve smaller CVs than the Fay-Herriot and You-Chapman models, particularly for the areas with three or more neighbouring areas. Bayesian model comparison and model fit analysis are also presented.

Description:

Small area estimation based on linear mixed models can be inefficient when the underlying relationships are non-linear. In this paper we introduce SAE techniques for variables that can be modelled linearly following a non-linear transformation. In particular, we extend the model-based direct estimator of Chandra and Chambers (2005, 2009) to data that are consistent with a linear mixed model in the logarithmic scale, using model calibration to define appropriate weights for use in this estimator. Our results show that the resulting transformation-based estimator is both efficient and robust with respect to the distribution of the random effects in the model. An application to business survey data demonstrates the satisfactory performance of the method.

Description:

This paper introduces a R-package for the stratification of a survey population using a univariate stratification variable X and for the calculation of stratum sample sizes. Non iterative methods such as the cumulative root frequency method and the geometric stratum boundaries are implemented. Optimal designs, with stratum boundaries that minimize either the CV of the simple expansion estimator for a fixed sample size n or the n value for a fixed CV can be constructed. Two iterative algorithms are available to find the optimal stratum boundaries. The design can feature a user defined certainty stratum where all the units are sampled. Take-all and take-none strata can be included in the stratified design as they might lead to smaller sample sizes. The sample size calculations are based on the anticipated moments of the survey variable Y, given the stratification variable X. The package handles conditional distributions of Y given X that are either a heteroscedastic linear model, or a log-linear model. Stratum specific non-response can be accounted for in the design construction and in the sample size calculations.

Description:

In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample based on the information observed in the first-phase sample. We develop a replication-based bias adjusted variance estimator that extends the method of Kim, Navarro and Fuller (2006). The proposed method is also applicable when the first-phase sampling rate is not negligible and when second-phase sample selection is unequal probability Poisson sampling within each stratum. The proposed method can be extended to variance estimation for two-phase regression estimators. Results from a limited simulation study are presented.

Description:

We analyze the statistical and economic efficiency of different designs of cluster surveys collected in two consecutive time periods, or waves. In an independent design, two cluster samples in two waves are taken independently from one another. In a cluster-panel design, the same clusters are used in both waves, but samples within clusters are taken independently in two time periods. In an observation-panel design, both clusters and observations are retained from one wave of data collection to another. By assuming a simple population structure, we derive design variances and costs of the surveys conducted according to these designs. We first consider a situation in which the interest lies in estimation of the change in the population mean between two time periods, and derive the optimal sample allocations for the three designs of interest. We then propose the utility maximization framework borrowed from microeconomics to illustrate a possible approach to the choice of the design that strives to optimize several variances simultaneously. Incorporating the contemporaneous means and their variances tends to shift the preferences from observation-panel towards simpler panel-cluster and independent designs if the panel mode of data collection is too expensive. We present numeric illustrations demonstrating how a survey designer may want to choose the efficient design given the population parameters and data collection cost.

Description:

This paper examines the efficiency of the Horvitz-Thompson estimator from a systematic probability proportional to size (PPS) sample drawn from a randomly ordered list. In particular, the efficiency is compared with that of an ordinary ratio estimator. The theoretical results are confirmed empirically with of a simulation study using Dutch data from the Producer Price Index.

Description:

This package was designed to help users access and manipulate the public use microdata file (PUMF – provincial) for the 2014 General Social Survey (GSS) on Canadians’ Safety (Victimization). It contains the PUMF data and describes the objectives, methodology and estimation procedures for this survey as well as guidelines for releasing estimates.

Statistics Canada collected data on the topic of Canadians’ safety (Victimization) for the sixth time in 2014. Data were previously collected in 1988 (Cycle 3), 1993 (Cycle 8), 1999 (Cycle 13), 2004 (Cycle 18) and 2009 (Cycle 23). The 2014 provincial GSS collected data from persons aged 15 years and over living in private households in Canada, excluding residents of the Yukon, Northwest Territories and Nunavut and full time residents of institutions.

Between 2009 and 2014, the core content of the survey was revised in a number of ways, based on experience gained from earlier iterations. Some questions were revised to improve their clarity for respondents, and others were added or dropped following consultations with stakeholders from the justice sector, government and academic communities.

Description:

This package was designed to enable users to access and manipulate the microdata file for Cycle 23 (2009) of the General Social Survey (GSS). It contains information on the objectives, methodology and estimation procedures, as well as guidelines for releasing estimates based on the survey.

Cycle 23 collected data from persons 15 years and over living in private households in Canada, excluding residents of the Yukon, Northwest Territories and Nunavut; and full-time residents of institutions.

The purpose of this survey is to better understand how Canadians perceive crime and the justice system and their experiences of victimization. The survey is designed to produce estimates of the extent to which persons are the victims of eight types of offences (assault, sexual assault, robbery, theft of personal property, breaking and entering, motor vehicle theft, theft of household property and vandalism); to examine the risk factors associated with victimization; to examine the rates of reporting to the police; and to evaluate the fear of crime and public perceptions of crime and the criminal justice system.

Cycle 23 is the fifth cycle of the GSS dedicated to collecting data on victimization. Previous cycles had been conducted in 1988, 1993, 1999 and 2004. Cycle 23 includes most of the content from previous cycles as well as new content, added to reflect the society's emerging issues of crime prevention and Internet victimization.

Description:

This package was designed to enable users to access and manipulate the microdata file for the 21st cycle (2007) of the General Social Survey (GSS). It contains information on the objectives, methodology and estimation procedures, as well as guidelines for releasing estimates based on the survey. Cycle 21 of the GSS collected data from persons aged 45 years and over living in private households in the 10 provinces of Canada. The survey covered a wide range of topics such as well-being, family composition, retirement decisions and plans, care giving and care receiving experiences, social networks and housing.

Description:

Cycle 15 of the General Social Survey (GSS) is the third cycle to collect detailed information on family life in Canada. The previous GSS cycles that collected family data were Cycles 5 and 10. Topics include demographic characteristics such as age, sex, and marital status; family origin of parents; brothers and sisters; marriages of respondent; common-law unions of respondent; fertility and family intentions; values and attitudes; education history; work history; main activity and other characteristics.

The target population for Cycle 15 of the GSS is all persons 15 years of age and older in Canada, excluding residents of the Yukon, Northwest Territories, and Nunavut, and full-time residents of institutions.

Description:

This publication presents data on young offender admissions to custody and community services, with breakdowns by custody (remand, secure, open) and probation, and key case characteristics, such as age, sex, Aboriginal/non-Aboriginal status and most serious offence. In addition, it includes data pertaining to releases from remand, secure custody and open custody, by sex and time served. These breakdowns are presented at the national and provincial/territorial levels.

Data presented in this publication are drawn from two primary sources: 1) The Youth Custody and Community Services (YCCS) Survey. The objective of this survey is to collect and analyse information on the application of dispositions under the Young Offenders Act from provincial and territorial agencies responsible for youth corrections and programs. 2) The Youth Key Indicator Report (YKIR). This survey measures the average counts of youth in custody (remand, secure and open) and on probation. The YKIR describes average daily counts (caseload), which measure the volume of offenders held in custody or on probation on an average day at month-end. This information also provides an examination of youth incarceration and probation rates in Canada.

Description:

This Statistics Canada publication is a collection of five annotated maps and graphs that describe the geographic distribution of manure in Canada by river basin. The amount of manure produced is estimated along with some of the major substances found in manure: (i) nitrogen, (ii) phosphorus, (iii) total coliform bacteria and (iv) fecal coliform bacteria.

The maps and figures presented in this report indicate that there are geographic areas in Canada characterized by higher levels of total livestock manure and related production of nitrogen, phosphorus and bacteria. Areas that repeatedly showed the highest levels were found in central and southern Alberta, southern Manitoba, southern Ontario, southeastern Quebec, parts of Prince Edward Island, the west Fraser River area in southern British Columbia and an area near Wolfville and Kentville, Nova Scotia.

Description:

This publication presents data on revenue and expense items from wholesalers and retailers by trade group and by province. There are 16 retail trade groups and 11 wholesale trade groups. Profiles of the retail trade groups are provided for each individual province/territory and are comprised of: number of locations, total operating revenues, cost of goods sold, gross margin and employee earnings and benefits. At the national level for each retail trade group are the following performance indicators: sales to inventory, cost of goods sold to inventory, gross margin and profit margin. Also provided at the national level are total operating revenues, number of locations for independent and for chain stores, the number of retail businesses by trade and total operating revenue by SIC (4 digit when possible).

The 11 wholesale trade groups, plus grain and petroleum products, are profiled for each individual province/territory giving: number of locations, total operating revenues, cost of goods sold, gross margin and employee earnings and benefits. Performance indicators by trade group at the national level including sales to inventory, cost of goods sold to inventory, gross margin and profit margin are provided. Total operating revenue at the national level by Standard Industrial Classification and by class of customer and trade group are also provided.

Description:

This publication presents information on the income, expenditure and assets of all trusteed pension funds in Canada in both the public and private sectors. Data are presented at the Canada level. The publication contains an analysis of the funds based on the size of the fund, the number of members and the type of benefit. It is a continuation of a series of reports produced since 1957. As a single pool of investment capital in Canada, these funds are surpassed in size only by the aggregate reserves held by the chartered banks.

Description:

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.

Description:

Consulting Engineering Services Price Index (CEPI) is an annual index that measures changes in the prices for services provided by consulting engineers. These services encompass advisory and design work as well as construction or project management. They are provided for many types of projects (fields of specialization), and to both Canadian and foreign clients. Price indexes are published for 10 fields of specialization as well as for national, regional, and foreign markets.

Description:

The objective of this study was to determine if the prevalence of overweight and obesity is associated with neighbourhood walkability. The analysis tested whether a dose-response relationship between the Street Smart Walk Score® and various measures of physical activity, overweight, and obesity existed in a large, population-based sample of adults in urban and suburban Ontario.

Description:

Discrepancies between self-reported and objectively measured physical activity are well-known. For the purpose of validation, this study compares a new self-reported physical activity questionnaire with an existing one and with accelerometer data.

Description:

The 2012/2013 Canadian Health Measures Survey collected audiometric and self-reported data to estimate the prevalence of hearing loss and limitations in a population-based sample of Canadians. This study presents an analysis of CHMS audiometric and self-reported hearing data for adults aged 20 to 79.

Description:

The Cancer Risk Management Model incorporates the risk of developing cancer, disease screening and clinical management with cost and labour data to assess health outcomes and economic impact. A screening module added to the lung cancer module enables a variety of scenarios to be evaluated for different target populations with varying rates of participation, compliance, and frequency of low-dose computed tomography screening.

Description:

This new dataset increases the information available for comparing the performance of provinces and territories across a range of measures. It combines often fragmented provincial time series data that, as such, are of limited utility for examining the evolution of provincial economies over extended periods. More advanced statistical methods, and models with greater breadth and depth, are difficult to apply to existing fragmented Canadian data. The longitudinal nature of the new provincial dataset remedies this shortcoming. This report explains the construction of the latest vintage of the dataset. The dataset contains the most up-to-date information available.

Description:

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.

Description:

Although weights are widely used in survey sampling their ultimate justification from the design perspective is often problematical. Here we will argue for a stepwise Bayes justification for weights that does not depend explicitly on the sampling design. This approach will make use of the standard kind of information present in auxiliary variables however it will not assume a model relating the auxiliary variables to the characteristic of interest. The resulting weight for a unit in the sample can be given the usual interpretation as the number of units in the population which it represents.

Description:

In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.

Description:

A considerable limitation of current methods for automatic data editing is that they treat all edits as hard constraints. That is to say, an edit failure is always attributed to an error in the data. In manual editing, however, subject-matter specialists also make extensive use of soft edits, i.e., constraints that identify (combinations of) values that are suspicious but not necessarily incorrect. The inability of automatic editing methods to handle soft edits partly explains why in practice many differences are found between manually edited and automatically edited data. The object of this article is to present a new formulation of the error localisation problem which can distinguish between hard and soft edits. Moreover, it is shown how this problem may be solved by an extension of the error localisation algorithm of De Waal and Quere (2003).

Description:

SILC (Statistics on Income and Living Conditions) is an annual European survey that measures the population's income distribution, poverty and living conditions. It has been conducted in Switzerland since 2007, based on a four-panel rotation scheme that yields both cross-sectional and longitudinal estimates. This article examines the problem of estimating the variance of the cross-sectional poverty and social exclusion indicators selected by Eurostat. Our calculations take into account the non-linearity of the estimators, total non-response at different survey stages, indirect sampling and calibration. We adapt the method proposed by Lavallée (2002) for estimating variance in cases of non-response after weight sharing, and we obtain a variance estimator that is asymptotically unbiased and very easy to program.

Description:

Estimates of the underground economy by province and territory for the period 2007 to 2012 are now available for the first time. The objective of this technical note is to explain how the methodology employed to derive upper-bound estimates of the underground economy for the provinces and territories differs from that used to derive national estimates.

Description:

This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2015. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2011 Census and includes updates to 2011 Geography classification system.

Description:

Readers will find a complete analysis of factors affecting the comparability of Language results between the censuses in the Methodological Document on the 2011 Census Language Data.

Description: This catalogue briefly describes all Labour Force Survey products offered on a monthly, annual and occasional basis. It includes products, uses, general release dates, formats available and prices, as well as special request services and Internet services. It also introduces any changes to products.

Description:

Starting with the 2010 survey year, the Survey of Household Spending (SHS) has used a different collection methodology from previous surveys. The new methodology combines a questionnaire and a diary of expenses. Also, data collection is now continuous throughout the year. This note provides information to users and prospective users of data from the SHS about the methodological differences between the redesigned SHS and the former SHS.

Description:

This paper provides a preview of the comprehensive (historical) revision of the Canadian System National Accounts to be released beginning in June 2012. The last revision of this scope took place in 1997. The paper highlights the changes resulting from the adoption of SNA2008 which is the revised international standard for national accounting, along with statistical revisions arising from new and improved source data and methodologies. Updates to the classification systems used in the Canadian System of National Accounts are also presented along with a list of changes planned for 2014.

Description:

A detailed exposition of how the pattern of quarterly growth affects the average annual growth rate, including the relative importance of these quarters in determining growth These basic principles are applied to monthly and quarterly growth.

Description:

This paper presents the background, methodological change and implementation of the revised real import and export adjustments that account for exchange rate fluctuations.

Description: This guide presents an overview of the scope and structure of the Pension Satellite Account as well as the methodology used to derive its stocks and flows estimates.

Description:

This report describes the quality indicators produced for the 2004 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.