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Description:

The Market Basket Measure includes a dimension that defines a family's disposable income. This discussion paper describes considerations for updating the disposable income component and changes to the methodology used for its determination.

Description: The manner in which Canadians conduct their daily activities can have a profound impact on their surroundings thereby compelling them to adapt their practices to be less harmful to the environment. This is even more of a reality for Canadian businesses as their operations are significant contributors to the amount of pollution and environmental pressures generated each year in Canada. For this reason, it is important to monitor the amount and the type of environmental protection that Canadian industry has undertaken over the years. The article highlights expenditures made by Canadian industry to protect the environment from industrial activities between 2006 and 2016. The main data source for this paper is the Environmental Protection Expenditures Survey (EPES), which is conducted every two years. Several graphs and a summary of findings are included.

Description:

In Canada, estimating the life expectancy of Indigenous populations is methodologically challenging since death registrations do not usually collect information on whether the deceased was Indigenous. For the first time in Canada, a series of census-mortality linked datasets has been created that can be used to estimate trends in life expectancies among Indigenous household populations enumerated by a census. The objectives of this article are to 1) estimate life expectancy for First Nations people, Métis and Inuit at various ages and by sex for 2011, and compare it with that of the non-Indigenous population 2) examine trends in longevity since 1996 for First Nations people, Métis and Inuit and the non-Indigenous population, and estimate whether the disparity between Indigenous populations and the non-Indigenous population has changed over time. In doing so, this study aims to fill an important information gap by providing a national picture of the life expectancy of First Nations people, Métis and Inuit.

Description:

The routine measurement of population health status indicators like mortality is important to assess progress in the reduction of inequalities. Previous studies of mortality inequalities have relied on area-based measures of socioeconomic indicators. A new series of census-mortality linked datasets has been created in Canada to quantify mortality inequalities based on individual-level data and examine whether these inequalities have changed over time. This study used the 1991, 1996, 2001, 2006, and 2011 Canadian Census Health and Environment Cohorts (CanCHECs) with five years of mortality follow-up. It estimated age-standardized mortality rates by sex according to income quintile and highest level of educational attainment categories for the household population aged 25 or older.

Description:

This article provides a description of the Canadian Census Health and Environment Cohorts (CanCHECs), a population-based linked datasets of the household population at the time of census collection. The CanCHEC datasets are rich national data resources that can be used to measure and examine health inequalities across socioeconomic and ethnocultural dimensions for different periods and locations. These datasets can also be used to examine the effects of exposure to environmental factors on human health.

Description:

This video describes a new health surveillance program at Statistics Canada: The Canadian Census Health and Environment Cohorts (CanCHECs). The video describes the attributes of and the datasets included in the CanCHECs, how the CanCHECs can be used, and their strengths and limitations. Recent examples of research projects based on the CanCHECs are presented along with information about how to apply for access to these data.

Description:

Standard linearization estimators of the variance of the general regression estimator are often too small, leading to confidence intervals that do not cover at the desired rate. Hat matrix adjustments can be used in two-stage sampling that help remedy this problem. We present theory for several new variance estimators and compare them to standard estimators in a series of simulations. The proposed estimators correct negative biases and improve confidence interval coverage rates in a variety of situations that mirror ones that are met in practice.

Description:

Paradata is often collected during the survey process to monitor the quality of the survey response. One such paradata is a respondent behavior, which can be used to construct response models. The propensity score weight using the respondent behavior information can be applied to the final analysis to reduce the nonresponse bias. However, including the surrogate variable in the propensity score weighting does not always guarantee the efficiency gain. We show that the surrogate variable is useful only when it is correlated with the study variable. Results from a limited simulation study confirm the finding. A real data application using the Korean Workplace Panel Survey data is also presented.

Description:

The widely used formulas for the variance of the ratio estimator may lead to serious underestimates when the sample size is small; see Sukhatme (1954), Koop (1968), Rao (1969), and Cochran (1977, pages 163-164). In order to solve this classical problem, we propose in this paper new estimators for the variance and the mean square error of the ratio estimator that do not suffer from such a large negative bias. Similar estimation formulas can be derived for alternative ratio estimators as discussed in Tin (1965). We compare three mean square error estimators for the ratio estimator in a simulation study.

Description:

Social or economic studies often need to have a global view of society. For example, in agricultural studies, the characteristics of farms can be linked to the social activities of individuals. Hence, studies of a given phenomenon should be done by considering variables of interest referring to different target populations that are related to each other. In order to get an insight into an underlying phenomenon, the observations must be carried out in an integrated way, in which the units of a given population have to be observed jointly with related units of the other population. In the agricultural example, this means that a sample of rural households should be selected that have some relationship with the farm sample to be used for the study. There are several ways to select integrated samples. This paper studies the problem of defining an optimal sampling strategy for this situation: the solution proposed minimizes the sampling cost, ensuring a predefined estimation precision for the variables of interest (of either one or both populations) describing the phenomenon. Indirect sampling provides a natural framework for this setting since the units belonging to a population can become carriers of information on another population that is the object of a given survey. The problem is studied for different contexts which characterize the information concerning the links available in the sampling design phase, ranging from situations in which the links among the different units are known in the design phase to a situation in which the available information on links is very poor. An empirical study of agricultural data for a developing country is presented. It shows how controlling the inclusion probabilities at the design phase using the available information (namely the links) is effective, can significantly reduce the errors of the estimates for the indirectly observed population. The need for good models for predicting the unknown variables or the links is also demonstrated.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with the United Kingdom using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with Japan using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with Mexico using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with China using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with France using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with Germany using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with Italy using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with Spain using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with the Netherlands using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

This product gathers information from various statistical programs and illustrates the nature and the extent of Canada's economic and financial relationship with Belgium using interactive graphics and tables. The statistical information is presented according to four main topics: trade, investment, employment and travel. Key indicators are available for each of the topics. Users can link to more detailed data as well as information regarding definitions, concepts and methods.

Description:

Monthly estimates of provincial unemployment based on the Dutch Labour Force Survey (LFS) are obtained using time series models. The models account for rotation group bias and serial correlation due to the rotating panel design of the LFS. This paper compares two approaches of estimating structural time series models (STM). In the first approach STMs are expressed as state space models, fitted using a Kalman filter and smoother in a frequentist framework. As an alternative, these STMs are expressed as time series multilevel models in an hierarchical Bayesian framework, and estimated using a Gibbs sampler. Monthly unemployment estimates and standard errors based on these models are compared for the twelve provinces of the Netherlands. Pros and cons of the multilevel approach and state space approach are discussed. Multivariate STMs are appropriate to borrow strength over time and space. Modeling the full correlation matrix between time series components rapidly increases the numbers of hyperparameters to be estimated. Modeling common factors is one possibility to obtain more parsimonious models that still account for cross-sectional correlation. In this paper an even more parsimonious approach is proposed, where domains share one overall trend, and have their own independent trends for the domain-specific deviations from this overall trend. The time series modeling approach is particularly appropriate to estimate month-to-month change of unemployment.

Description:

High nonresponse is a very common problem in sample surveys today. In statistical terms we are worried about increased bias and variance of estimators for population quantities such as totals or means. Different methods have been suggested in order to compensate for this phenomenon. We can roughly divide them into imputation and calibration and it is the latter approach we will focus on here. A wide spectrum of possibilities is included in the class of calibration estimators. We explore linear calibration, where we suggest using a nonresponse version of the design-based optimal regression estimator. Comparisons are made between this estimator and a GREG type estimator. Distance measures play a very important part in the construction of calibration estimators. We show that an estimator of the average response propensity (probability) can be included in the “optimal” distance measure under nonresponse, which will help to reduce the bias of the resulting estimator. To illustrate empirically the theoretically derived results for the suggested estimators, a simulation study has been carried out. The population is called KYBOK and consists of clerical municipalities in Sweden, where the variables include financial as well as size measurements. The results are encouraging for the “optimal” estimator in combination with the estimated average response propensity, where the bias was reduced for most of the Poisson sampling cases in the study.

Description:

Finding the optimal stratification and sample size in univariate and multivariate sample design is hard when the population frame is large. There are alternative ways of modelling and solving this problem, and one of the most natural uses genetic algorithms (GA) combined with the Bethel-Chromy evaluation algorithm. The GA iteratively searches for the minimum sample size necessary to meet precision constraints in partitionings of atomic strata created by the Cartesian product of auxiliary variables. We point out a drawback with classical GAs when applied to the grouping problem, and propose a new GA approach using “grouping” genetic operators instead of traditional operators. Experiments show a significant improvement in solution quality for similar computational effort.

Description:

Dual frame surveys are useful when no single frame with adequate coverage exists. However estimators from dual frame designs require knowledge of the frame memberships of each sampled unit. When this information is not available from the frame itself, it is often collected from the respondent. When respondents provide incorrect membership information, the resulting estimators of means or totals can be biased. A method for reducing this bias, using accurate membership information obtained about a subsample of respondents, is proposed. The properties of the new estimator are examined and compared to alternative estimators. The proposed estimator is applied to the data from the motivating example, which was a recreational angler survey, using an address frame and an incomplete fishing license frame.

Description:

We discuss a relevant inference for the alpha coefficient (Cronbach, 1951) - a popular ratio-type statistic for the covariances and variances in survey sampling including complex survey sampling with unequal selection probabilities. This study can help investigators who wish to evaluate various psychological or social instruments used in large surveys. For the survey data, we investigate workable confidence intervals by using two approaches: (1) the linearization method using the influence function and (2) the coverage-corrected bootstrap method. The linearization method provides adequate coverage rates with correlated ordinal values that many instruments consist of; however, this method may not be as good with some non-normal underlying distributions, e.g., a multi-lognormal distribution. We suggest that the coverage-corrected bootstrap method can be used as a complement to the linearization method, because the coverage-corrected bootstrap method is computer-intensive. Using the developed methods, we provide the confidence intervals for the alpha coefficient to assess various mental health instruments (Kessler 10, Kessler 6 and Sheehan Disability Scale) for different demographics using data from the National Comorbidity Survey Replication (NCS-R).

Description:

This report presents monthly aircraft movements for Canadian airports with NAV CANADA air traffic control towers and NAV CANADA flight service stations.

Description:

This study identifies gig workers based on characteristics of their work arrangements and how these are reported in tax data. It introduces a definition of gig work specific to the way work arrangements are reported in the Canadian tax system and estimates the size of the gig economy in Canada using administrative data. The share of gig workers among all workers rose from 5.5% in 2005 to 8.2% in 2016. Some of this increase coincided with the introduction and proliferation of online platforms. The analysis highlights gender differences in the trends and characteristics of gig workers. By linking administrative data to 2016 Census microdata, this study also examines educational and occupational differences in the prevalence of gig workers.

Description:

This infographic provides information on the number and characteristics of gig workers, including gender, regional, and occupational differences.

Description:

This infographic uses census data from 2006 and 2016 to examine the trends associated with English-French bilingualism among Canadian children and youth who were aged 5 to 17.

Description:

This article describes the revisions to the Financial Flow Accounts (FFA), the Other Changes in Assets Account (OCAA), and the National Balance Sheet Accounts (NBSA), collectively referred to as the Financial and Wealth Accounts (FWA), introduced as part of the 2019 Comprehensive Revision. These accounts are an integral part of the Canadian System of Macroeconomic Accounts (CSMA). This exercise was conducted to strengthen the overall quality and relevance of the FWA program and to introduce new concepts, methodologies, and classifications as recommended by international standards.

Description:

The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.

Description:

The User Guide for the Canadian Index of Multiple Deprivation (CIMD) outlines uses for the index, as well as it provides a brief description of the methodology behind the development of the index. This User Guide also provides instructions on how to use the index, and lists considerations when using the CIMD data.

Description:

This article describes the upcoming revisions (November 2019) in the Canadian Macroeconomic Accounts resulting from the inclusion of illegal cannabis production, consumption and distribution as well as statistical revisions of the international travel services. The paper highlights the impact of these revisions on Gross Domestic Product (GDP) and the balance of international payments (BOP).

Description:

The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.

Description:

In 2018, Statistics Canada released two new data tables with estimates of effective tax and transfer rates for individual tax filers and census families. These estimates are derived from the Longitudinal Administrative Databank. This publication provides a detailed description of the methods used to derive the estimates of effective tax and transfer rates.

Description: From September 2017 to February 2018 Statistics Canada undertook a series of discussions across the country. The purpose of these discussions was to obtain feedback on the questions that are used on the census and on other Statistics Canada surveys to identify First Nations people, Métis and Inuit. This report will summarize the feedback received in during these discussions.

Description:

The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

The national IO model was not released in 2015 or 2016.

Description:

The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

The interprovincial IO model was not released in 2015 or 2016.

Description:

This document provides a comprehensive reference to the information available from the General Social Survey (GSS). It provides a description of the content of each of the 18 GSS cycles (e.g. time use, social support, education, the family), as well as background information, target population and collection methodology. A list of the products and services available from each cycle is also included.

Description:

The production of statistics from the Labour Force Survey (LFS) involves many activities, one of which is data processing. This step involves the verification and correction of survey data when required in order to produce microdata files. Beginning in January 2019, LFS processing will be transitioned to a new system, the Social Survey Processing Environment. This document describes the development and testing that preceded the implementation of the new system, and demonstrates that the transition is expected to have minimal impact on LFS estimates and be transparent to users of LFS data.