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Survey or statistical program
- Census of Population (16)
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Results
All (301)
All (301) (60 to 70 of 301 results)
- 91C0025Description:
The migration data are released annually from a modelled databank that monitors and tracks the movements of people to and within Canada. Data are derived from the comparison of two consecutive years of tax files. Most current data show migration between 2011 and 2012.
Data on international migration and internal migration are generally available 15 to 18 months after the tax filing deadline.
The data consist of estimates of migration flows between census divisions (CDs) or census metropolitan areas (CMAs), by sex and broad age groups. Information may be requested by province of origin/destination, by age group, by type of migration (interprovincial, intraprovincial and international) and sex; and for migration flows by census division of origin/destination, or by census metropolitan area/non-census metropolitan area of origin/destination. The statistics are derived from the annual tax file provided by the Canada Revenue Agency.
Note: Intraprovincial migration: movement of people between two CDs or CMAs located within the same province. The CD/CMA of departure is the CD/CMA of origin and the CD/CMA of arrival is the CD/CMA of destination. Interprovincial migration: movement of people between CDs and CMAs located in two different provinces. The province of departure is the province of origin and the province of arrival is the province of destination. International migration: movement of people between an area in Canada and another country. Migration flows: migration flows for any given CD or CMA. The flows are listed in descending order of net migration for the most recent year of migration.
Release date: 2013-10-16 - 62. Objective stepwise Bayes weights in survey sampling ArchivedArticles and reports: 12-001-X201300111823Description:
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.
Release date: 2013-06-28 - Articles and reports: 12-001-X201300111824Description:
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.
Release date: 2013-06-28 - 64. Automatic editing with hard and soft edits ArchivedArticles and reports: 12-001-X201300111825Description:
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).
Release date: 2013-06-28 - 65. Estimation of the variance of cross-sectional indicators for the SILC survey in Switzerland ArchivedArticles and reports: 12-001-X201300111827Description:
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.
Release date: 2013-06-28 - 66. Combining cohorts in longitudinal surveys ArchivedArticles and reports: 12-001-X201300111828Description:
A question that commonly arises in longitudinal surveys is the issue of how to combine differing cohorts of the survey. In this paper we present a novel method for combining different cohorts, and using all available data, in a longitudinal survey to estimate parameters of a semiparametric model, which relates the response variable to a set of covariates. The procedure builds upon the Weighted Generalized Estimation Equation method for handling missing waves in longitudinal studies. Our method is set up under a joint-randomization framework for estimation of model parameters, which takes into account the superpopulation model as well as the survey design randomization. We also propose a design-based, and a joint-randomization, variance estimation method. To illustrate the methodology we apply it to the Survey of Doctorate Recipients, conducted by the U.S. National Science Foundation.
Release date: 2013-06-28 - 67. On the performance of self benchmarked small area estimators under the Fay-Herriot area level model ArchivedArticles and reports: 12-001-X201300111830Description:
We consider two different self-benchmarking methods for the estimation of small area means based on the Fay-Herriot (FH) area level model: the method of You and Rao (2002) applied to the FH model and the method of Wang, Fuller and Qu (2008) based on augmented models. We derive an estimator of the mean squared prediction error (MSPE) of the You-Rao (YR) estimator of a small area mean that, under the true model, is correct to second-order terms. We report the results of a simulation study on the relative bias of the MSPE estimator of the YR estimator and the MSPE estimator of the Wang, Fuller and Qu (WFQ) estimator obtained under an augmented model. We also study the MSPE and the estimators of MSPE for the YR and WFQ estimators obtained under a misspecified model.
Release date: 2013-06-28 - 68. Conservative variance estimation for sampling designs with zero pairwise inclusion probabilities ArchivedArticles and reports: 12-001-X201300111831Description:
We consider conservative variance estimation for the Horvitz-Thompson estimator of a population total in sampling designs with zero pairwise inclusion probabilities, known as "non-measurable" designs. We decompose the standard Horvitz-Thompson variance estimator under such designs and characterize the bias precisely. We develop a bias correction that is guaranteed to be weakly conservative (nonnegatively biased) regardless of the nature of the non-measurability. The analysis sheds light on conditions under which the standard Horvitz-Thompson variance estimator performs well despite non-measurability and where the conservative bias correction may outperform commonly-used approximations.
Release date: 2013-06-28 - Surveys and statistical programs – Documentation: 98-314-X2011051Description:
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.
Release date: 2013-05-03 - 70. Historical Data Linkage of Tax Records on Labour and Income: The Case of the Living in Canada Survey Pilot ArchivedArticles and reports: 89-648-X2013002Geography: CanadaDescription:
Data matching is a common practice used to reduce the response burden of respondents and to improve the quality of the information collected from respondents when the linkage method does not introduce bias. However, historical linkage, which consists in linking external records from previous years to the year of the initial wave of a survey, is relatively rare and, until now, had not been used at Statistics Canada. The present paper describes the method used to link the records from the Living in Canada Survey pilot to historical tax data on income and labour (T1 and T4 files). It presents the evolution of the linkage rate going back over time and compares earnings data collected from personal income tax returns with those collected from employers file. To illustrate the new possibilities of analysis offered by this type of linkage, the study concludes with an earnings profile by age and sex for different cohorts based on year of birth.
Release date: 2013-01-24
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Data (14)
Data (14) (10 to 20 of 14 results)
- 11. Consulting Engineering Services Price Index [1997] ArchivedTable: 62F0040X1997001Description:
The first in this series is the Consulting Engineering Services Price Index (CEPI) which 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.
Release date: 1999-05-04 - 12. National Population Health Survey Overview ArchivedTable: 82-567-XDescription:
The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.
This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.
Release date: 1998-07-29 - Public use microdata: 75M0001GDescription:
Documentation to accompany public-use microdata files. Contains a detailed description of the survey design, content and methods, as well as the record layout and the data dictionary.
Release date: 1997-10-31 - Public use microdata: 12M0010XDescription:
Cycle 10 collected data from persons 15 years and older and concentrated on the respondent's family. Topics covered include marital history, common- law unions, biological, adopted and step children, family origins, child leaving and fertility intentions.
The target population of the GSS (General Social Survey) consisted of all individuals aged 15 and over living in a private household in one of the ten provinces.
Release date: 1997-02-28
Analysis (212)
Analysis (212) (20 to 30 of 212 results)
- Articles and reports: 11F0019M2016381Description:
Changes in health status may affect not just the individuals who experience such changes, but also their family members. For example, if the main earner in a family loses his or her ability to generate income due to a health shock, it invariably affects the financial situation of the spouse and other dependents. In addition, spouses and working-age children may themselves increase or reduce their labour supply to make up for the lost income (“added worker effect”) or care for a sick family member (“caregiver effect”). Since consumption smoothing and self-insurance occur at the household level, the financial effects of health for other family members have important policy implications. To shed light on such effects, this study analyzes how one spouse’s cancer diagnosis affects the employment and earnings of the other spouse and (before-tax) total family income using administrative data from Canada.
Release date: 2016-07-22 - Articles and reports: 82-003-X201600714644Geography: Census metropolitan areaDescription: Children younger than age 18 enumerated in the 2006 Census who lived in Toronto, Montreal or Vancouver were linked to published air pollution exposure land use regression models to assign exposure at the Dissemination Area level. Associations between both socioeconomic and visible minority status and exposure to ambient nitrogen dioxide among children in these three cities were examined in a series of regression models.Release date: 2016-07-20
- 23. Increasing survival from leukemia among adolescents and adults in Canada: A closer look ArchivedArticles and reports: 82-003-X201600714645Description:
The data are from the Canadian Cancer Registry, with mortality follow-up through record linkage to the Canadian Vital Statistics Death Database. Increases in five-year relative survival ratios between 1992-to-1994 and 2006-to-2008 were calculated by age and sex for all leukemias combined and for each of the main types.
Release date: 2016-07-20 - Articles and reports: 11F0019M2016380Description:
Every year, thousands of workers lose their job in many industrialized countries (OECD 2013). Faced with job loss, displaced workers may choose to return to school to help them reintegrate into the labour force. Job losses in a given local labour market may also induce workers who have not yet been laid off to pre-emptively enrol in postsecondary (PS) institutions, as a precautionary measure. Combining microdata and grouped data, this study examines these two dimensions of the relationship between layoffs and PS enrolment over the 2001-to-2011 period.
Release date: 2016-07-19 - Articles and reports: 75F0002M2016002Description:
Statistics Canada currently measures low-income using three low income lines: the Low Income Cut-offs (LICOs), the Low Income Measures (LIMs), and the Market Basket Measure (MBM). This publication provides a description of the methods used to arrive at each of these thresholds. It also explains how low-income status and various low-income statistics are determined. Tables presenting thresholds and low-income statistics are available on CANSIM.
Release date: 2016-07-08 - 26. Hiring and Layoff Rates by Economic Region of Residence: Data Quality, Concepts and Methods ArchivedArticles and reports: 11-633-X2016001Description:
Every year, thousands of workers lose their jobs as firms reduce the size of their workforce in response to growing competition, technological changes, changing trade patterns and numerous other factors. Thousands of workers also start a job with a new employer as new firms enter a product market and existing firms expand or replace employees who recently left. This worker reallocation process across employers is generally seen as contributing to productivity growth and rising living standards. To measure this labour reallocation process, labour market indicators such as hiring rates and layoff rates are needed. In response to growing demand for subprovincial labour market information and taking advantage of unique administrative datasets, Statistics Canada is producing hiring rates and layoff rates by economic region of residence. This document describes the data sources, conceptual and methodological issues, and other matters pertaining to these two indicators.
Release date: 2016-06-27 - 27. Do Workplace Pensions Crowd Out Other Retirement Savings? Evidence from Canadian Tax Records ArchivedArticles and reports: 11F0019M2015371Description:
This paper investigates whether registered pension plans (RPPs) help households prepare financially for retirement or simply substitute for other forms of private saving. This issue is addressed using a panel of 1.8 million Canadian households, from 1991 to 2010, which appear in the Longitudinal Administrative Databank. The analysis controls for correlations in savings across accounts due to unobserved tastes for saving by exploiting the fact that employer contribution rates increase discontinuously on earnings above the average industrial wage, a unique feature of occupational pensions in Canada, the effect being estimated in a Regression Kink Design.
Release date: 2015-12-21 - 28. The feasibility of adding treatment data to the Canadian Cancer Registry using record linkage ArchivedArticles and reports: 82-622-X2015009Description:
The Canadian Cancer Registry (CCR) represents a collaborative effort between Statistics Canada and the thirteen provincial and territorial cancer registries to create a single database to report annually on cancer incidence and survival at the national and jurisdictional level. While gains have been made to ensure high quality, standardized, and comparable data, the CCR currently lacks information on cancer treatment. The Canadian Council of Cancer Registries (CCCR) identified the need to capture treatment data at the national level as a key strategic priority for 2013/2014. Record linkage was identified as one possible approach to fill this information gap.
The purpose of this study is to examine the feasibility of using record linkage to add cancer treatment information for selected cancers: breast, colorectal and prostate. The objectives are twofold: to assess the quality of the linkage processes and the validity of using linked data to estimate cancer treatment rates at the provincial level. The study is based on the Canadian Cancer Registry (2005 to 2008) linked to the Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) for four provinces (Ontario, Manitoba, Nova Scotia and Prince Edward Island). The linkage was proposed by Statistics Canada, the CCCR and the Canadian Institute for Health Information (CIHI). The linkage was approved and conducted at Statistics Canada.
Release date: 2015-11-23 - Articles and reports: 82-003-X201501114243Description:
A surveillance tool was developed to assess dietary intake collected by surveys in relation to Eating Well with Canada’s Food Guide (CFG). The tool classifies foods in the Canadian Nutrient File (CNF) according to how closely they reflect CFG. This article describes the validation exercise conducted to ensure that CNF foods determined to be “in line with CFG” were appropriately classified.
Release date: 2015-11-18 - Articles and reports: 13-605-X201500914239Description: This paper outlines the methodology being used to integrate the value of selected natural resource assets into the quarterly sectored national balance sheet accounts. It responds to recommendations in the revised United Nations System of National Accounts to include these values in the balance sheet. The addition of these asset values will significantly increase and improve measures of sectoral net worth.Release date: 2015-11-17
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Reference (74)
Reference (74) (50 to 60 of 74 results)
- 51. Producing Hours Worked for the SNA in Order to Measure Productivity: The Canadian Experience ArchivedSurveys and statistical programs – Documentation: 15-206-X2006004Description:
This paper provides a brief description of the methodology currently used to produce the annual volume of hours worked consistent with the System of National Accounts (SNA). These data are used for labour input in the annual and quarterly measures of labour productivity, as well as in the annual measures of multifactor productivity. For this purpose, hours worked are broken down by educational level and age group, so that changes in the composition of the labour force can be taken into account. They are also used to calculate hourly compensation and the unit labour cost and for simulations of the SNA Input-Output Model; as such, they are integrated as labour force inputs into most SNA satellite accounts (i.e., environment, tourism).
Release date: 2006-10-27 - 52. Culture Goods Trade Data User Guide ArchivedSurveys and statistical programs – Documentation: 81-595-M2006040Geography: CanadaDescription:
This guide discusses the collection and interpretation of statistical data on Canada's trade in culture goods. This guide has been restructured and simplified to better meet the needs of data users. This version replaces Culture Goods Trade Estimates: Methodology and Technical Notes, Catalogue no. 81-595-MIE2004020.
Release date: 2006-03-30 - 53. Survey of Labour and Income Dynamics (SLID): Entry Exit Component Interview Questionnaire for Reference Year 2004 ArchivedSurveys and statistical programs – Documentation: 75F0002M2006002Description:
In previous years, the Survey of Labour and Income Dynamics (SLID) conducted a Labour interview each January and a separate Income interview in May. In 2005 (reference year 2004) the two interviews were combined and collected in one interview in January.
The data are collected using computer-assisted interviewing. Thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for Labour and Income are documented in other SLID research papers. This document presents the information for the 2005 Entry Exit portion of the Labour Income interview (for the 2004 reference year).
The Entry Exit Component consists of five separate modules. The Entry module is the first set of data collected. It is information collected to update the place of residence, housing conditions and expenses, as well as the household composition. For each person identified in Entry, the Demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the Relationships module identifies (or updates) the relationship between each respondent and every other household member. The Exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the Tracing component is also included in this document.
Release date: 2006-03-27 - Surveys and statistical programs – Documentation: 71F0031X2005002Description:
This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2005. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2001 Census, updates to industry and occupation classification systems and sample redesign changes.
Release date: 2005-01-26 - Surveys and statistical programs – Documentation: 15-002-M2001001Description:
This document describes the sources, concepts and methods utilized by the Canadian Productivity Accounts and discusses how they compare with their U.S. counterparts.
Release date: 2004-12-24 - Surveys and statistical programs – Documentation: 75F0002M2003001Description:
This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research for the Survey of Labour and Income Dynamics (SLID).
Release date: 2003-06-11 - 57. User's Guide for Cross-sectional Public-use Microdata File: Survey of Labour and Income Dynamics, Reference Year 2000 ArchivedSurveys and statistical programs – Documentation: 75F0002M2003002Description:
This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research for the Survey of Labour and Income Dynamics in 2000.
Release date: 2003-06-11 - 58. Methodology of the Survey of Household Spending ArchivedSurveys and statistical programs – Documentation: 62F0026M2001003Description:
This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.
Release date: 2001-10-15 - 59. Survey of Financial Security - Methodology for Estimating the Value of Employer Pension Plan Benefits ArchivedSurveys and statistical programs – Documentation: 13F0026M2001003Description:
Initial results from the Survey of Financial Security (SFS), which provides information on the net worth of Canadians, were released on March 15 2001, in The daily. The survey collected information on the value of the financial and non-financial assets owned by each family unit and on the amount of their debt.
Statistics Canada is currently refining this initial estimate of net worth by adding to it an estimate of the value of benefits accrued in employer pension plans. This is an important addition to any asset and debt survey as, for many family units, it is likely to be one of the largest assets. With the aging of the population, information on pension accumulations is greatly needed to better understand the financial situation of those nearing retirement. These updated estimates of the Survey of Financial Security will be released in late fall 2001.
The process for estimating the value of employer pension plan benefits is a complex one. This document describes the methodology for estimating that value, for the following groups: a) persons who belonged to an RPP at the time of the survey (referred to as current plan members); b) persons who had previously belonged to an RPP and either left the money in the plan or transferred it to a new plan; c) persons who are receiving RPP benefits.
This methodology was proposed by Hubert Frenken and Michael Cohen. The former has many years of experience with Statistics Canada working with data on employer pension plans; the latter is a principal with the actuarial consulting firm William M. Mercer. Earlier this year, Statistics Canada carried out a public consultation on the proposed methodology. This report includes updates made as a result of feedback received from data users.
Release date: 2001-09-05 - Surveys and statistical programs – Documentation: 15F0077GDescription:
This publication provides a description of the data sources and methods used to compile the input-output tables at constant prices. It includes a brief description of the accounting framework, an overview of the methods used for the major components of the tables and an outline of the techniques applied to each group of goods and services. It also distinguishes between the derivation of the gross domestic product by industry for the business sector and that of the non-business sector. Finally, it discusses some of the critical contemporary issues that are being addressed at the time of writing.
Release date: 2001-02-15
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