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All (301)
All (301) (20 to 30 of 301 results)
- 21. The 2021 Revisions of the Labour Force Survey (LFS) ArchivedSurveys and statistical programs – Documentation: 71F0031X2021001Description:
This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2021. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2016 Census and includes updates to 2016 Geography classification system.
Release date: 2021-01-25 - Articles and reports: 62F0014M2020016Description:
A summary of methodological treatments as applied to the August 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closures.
Release date: 2020-09-16 - Articles and reports: 62F0014M2020015Description:
This document describes the methodological details for the Commercial Rents Services Price Index (CRSPI). It includes information about the purpose of the index, data sources, the index estimation and aggregation methods.
Release date: 2020-09-10 - 24. 2019 Census Content Test: Design and methodology ArchivedSurveys and statistical programs – Documentation: 98-20-00012020020Description:
This fact sheet provides detailed insight into the design and methodology of the content test component of the 2019 Census Test. This test evaluated changes to the wording and flow of some questions, as well as the potential addition of new questions, to help determine the content of the 2021 Census of Population.
Release date: 2020-07-20 - Articles and reports: 82-003-X202000300001Description:
This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.
Release date: 2020-06-17 - Surveys and statistical programs – Documentation: 75F0002M2020001Description:
This note provides the definition of a first-time homebuyer concept used in the 2018 Canadian Housing Survey (CHS). It also includes the methodology used to identify first-time homebuyers and provides sensitivity analysis under alternative methodologies.
Release date: 2020-01-15 - 27. A modern framework: Breaking new ground ArchivedStats in brief: 11-629-X2019004Description:
This video explains the Necessity and Proportionality Framework, which assesses data sensitivity and gathering in a more integrated way while ensuring the data needs of Canadians are met.
Release date: 2019-11-26 - Articles and reports: 92F0138M2019002Description:
This working paper describes the preliminary 2021 census metropolitan areas and census agglomerations and is presented for user feedback. The paper briefly describes the changes to some of the census metropolitan areas and census agglomerations and includes tables and maps that list and illustrate these changes to their limits and to the component census subdivisions.
Release date: 2019-11-13 - Articles and reports: 62F0014M2019005Description:
This document describes the updated methodology for Investment Banking Services Price Index (IBSPI).
Release date: 2019-07-08 - Articles and reports: 13-605-X201900100006Description:
This paper examines the parameters needed to calculate the mass of cannabis metabolites in wastewater, and the additional parameters needed to estimate the total quantity of cannabis consumed.
Release date: 2019-05-21
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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) (40 to 50 of 212 results)
- 41. 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 - 42. 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 - 43. 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 - 44. 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 - 45. 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 - Articles and reports: 12-001-X201200111686Description:
We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the kappa coefficient from sample survey data. The estimates and their accompanying standard error need to correctly account for the sampling design. Weighted measures of the concordance correlation coefficient and the kappa coefficient, along with the variance of these measures accounting for the sampling design, are presented. We use the Taylor series linearization method and the jackknife procedure for estimating the standard errors of the resulting parameter estimates. Body measurement and oral health data from the Third National Health and Nutrition Examination Survey are used to illustrate this methodology.
Release date: 2012-06-27 - Stats in brief: 98-311-X201100311674Geography: CanadaDescription:
These short analytical articles provide complementary analysis to the 2011 Census analytical document. These articles allow for a more in-depth look to relevant topics related to the Canadian population. The three articles linked to the age and sex release are entitled 'Centenarians in Canada,' 'Generations in Canada' and 'The census: A tool for planning at the local level.'
Release date: 2012-05-29 - 48. Cities and Growth: Moving to Toronto - Income Gains Associated with Large Metropolitan Labour Markets ArchivedArticles and reports: 11-622-M2012023Geography: CanadaDescription:
This paper examines the process by which migrants experience gains in earnings subsequent to migration and, in particular, the advantage that migrants obtain from moving to large, dynamic metropolitan labour markets, using Toronto as a benchmark. There are two potentially distinct patterns to gains in earnings associated with migration. The first is a step upwards in which workers realize immediate gains in earnings subsequent to migration. The second is accelerated gains in earnings subsequent to migration. Immediate gains are associated with obtaining a position in a more productive firm and/or a better match between worker skills and abilities and job tasks. Accelerated gains in earnings are associated processes that take time, such as learning or job switching as workers and firms seek out better matches. Evaluated here is the expectation that the economies of large metropolitan areas provide workers with an initial productive advantage stemming from a one-time improvement in worker productivity and/or a dynamic that accelerates gains in earnings over time through the potentially entwined processes of learning and matching. A variety of datasets and methodologies, including propensity score matching, are used to evaluate patterns of income gains associated with migration to Toronto.
Release date: 2012-05-03 - Articles and reports: 82-003-X201200111633Geography: CanadaDescription:
This paper explains the methodology for creating Geozones, which are area-based thresholds of population characteristics derived from census data, which can be used in the analysis of social or economic differences in health and health service utilization.
Release date: 2012-03-21 - Articles and reports: 11-626-X2012003Geography: CanadaDescription:
This Economic Insight discusses price differences between Canada and the United States. It is based on the concepts and methods from Statistics Canada's Purchasing Power Parity program.
Release date: 2012-01-04
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Reference (74)
Reference (74) (20 to 30 of 74 results)
- Surveys and statistical programs – Documentation: 13-605-X201500414166Description:
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.
Release date: 2015-04-29 - 22. The 2015 Revisions of the Labour Force Survey (LFS) ArchivedSurveys and statistical programs – Documentation: 71F0031X2015001Geography: CanadaDescription:
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.
Release date: 2015-01-28 - 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 - Surveys and statistical programs – Documentation: 71-544-XDescription: 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.Release date: 2012-07-06
- Notices and consultations: 62F0026M2012002Description:
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.
Release date: 2012-04-25 - Notices and consultations: 13-605-X201100311491Description:
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.
Release date: 2011-06-20 - Surveys and statistical programs – Documentation: 11-010-X201100611501Description:
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.
Release date: 2011-06-16 - 28. Revision to the real import and export adjustments to account for exchange rate fluctuations ArchivedSurveys and statistical programs – Documentation: 13-605-X201100211471Description:
This paper presents the background, methodological change and implementation of the revised real import and export adjustments that account for exchange rate fluctuations.
Release date: 2011-05-30 - Surveys and statistical programs – Documentation: 13-599-XDescription: 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.Release date: 2010-11-12
- Surveys and statistical programs – Documentation: 62F0026M2010001Description:
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.
Release date: 2010-04-26
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