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Results
All (300)
All (300) (40 to 50 of 300 results)
- 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 - 43. 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 - Surveys and statistical programs – Documentation: 16-509-XDescription:
The Methodological Guide: Canadian System of Environmental-Economic Accounting provides readers with information on environmental-economic accounts at Statistics Canada. It provides links to produced data and publications and describes the concepts, sources, and methods used to compile them. Topics include ecosystem accounting, asset accounts (natural resources in physical and monetary terms), physical flow accounts (energy and water use, and waste and greenhouse gas emissions), environmental activity statistics (expenditures on environmental protection), and the applications and extensions of those accounts (attribution of physical flows to final demand and intensity measures).
This user's guide has been developed by the Environmental Statistics Program to facilitate access to environmental-economic accounting information throughout Statistics Canada and to explain its linkage with international standards, the United Nations System of Environmental-Economic Accounting. This guide is continually being updated to maintain its relevance.
Release date: 2016-04-22 - 45. 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 - 46. Revisions to 2006 to 2011 income data ArchivedSurveys and statistical programs – Documentation: 75F0002M2015003Description:
This note discusses revised income estimates from the Survey of Labour and Income Dynamics (SLID). These revisions to the SLID estimates make it possible to compare results from the Canadian Income Survey (CIS) to earlier years. The revisions address the issue of methodology differences between SLID and CIS.
Release date: 2015-12-17 - 47. 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
- 50. Demosim 2015 ArchivedArticles and reports: 91-621-X2015001Description:
This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.
Release date: 2015-09-17
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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 (211)
Analysis (211) (50 to 60 of 211 results)
- 51. Adaptive network and spatial sampling ArchivedArticles and reports: 12-001-X201100211607Description:
This paper describes recent developments in adaptive sampling strategies and introduces new variations on those strategies. Recent developments described included targeted random walk designs and adaptive web sampling. These designs are particularly suited for sampling in networks; for example, for finding a sample of people from a hidden human population by following social links from sample individuals to find additional members of the hidden population to add to the sample. Each of these designs can also be translated into spatial settings to produce flexible new spatial adaptive strategies for sampling unevenly distributed populations. Variations on these sampling strategies include versions in which the network or spatial links have unequal weights and are followed with unequal probabilities.
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211609Description:
This paper presents a review and assessment of the use of balanced sampling by means of the cube method. After defining the notion of balanced sample and balanced sampling, a short history of the concept of balancing is presented. The theory of the cube method is briefly presented. Emphasis is placed on the practical problems posed by balanced sampling: the interest of the method with respect to other sampling methods and calibration, the field of application, the accuracy of balancing, the choice of auxiliary variables and ways to implement the method.
Release date: 2011-12-21 - 53. Innovations in survey sampling design: Discussion of three contributions presented at the U.S. Census Bureau ArchivedArticles and reports: 12-001-X201100211610Description:
In this paper, a discussion of the three papers from the US Census Bureau special compilation is presented.
Release date: 2011-12-21 - 54. A Profile of Canadian Importers, 2002 to 2009 ArchivedArticles and reports: 65-507-M2011011Description:
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.
Release date: 2011-12-06 - 55. A Profile of Canadian Exporters, 1996 to 2009 ArchivedArticles and reports: 65-507-M2010010Geography: Province or territoryDescription:
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.
Release date: 2011-10-28 - 56. Nonsampling errors in dual frame telephone surveys ArchivedArticles and reports: 12-001-X201100111443Description:
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.
Release date: 2011-06-29 - 57. Maximum likelihood estimation for contingency tables and logistic regression with incorrectly linked data ArchivedArticles and reports: 12-001-X201100111444Description:
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.
Release date: 2011-06-29 - 58. Hierarchical Bayes small area estimation under a spatial model with application to health survey data ArchivedArticles and reports: 12-001-X201100111445Description:
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.
Release date: 2011-06-29 - Articles and reports: 12-001-X201100111446Description:
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.
Release date: 2011-06-29 - Articles and reports: 12-001-X201100111447Description:
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.
Release date: 2011-06-29
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Reference (74)
Reference (74) (0 to 10 of 74 results)
- Surveys and statistical programs – Documentation: 81-582-GDescription: This handbook complements the tables of the Pan-Canadian Education Indicators Program (PCEIP). It is a guide that provides general descriptions for each indicator and indicator component. PCEIP has five broad indicator sets: a portrait of the school-age population; financing education systems; elementary and secondary education; postsecondary education; and transitions and outcomes.
The Pan-Canadian Education Indicators Program (PCEIP) is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada.
Release date: 2024-03-28 - Surveys and statistical programs – Documentation: 89-654-X2023004Description: The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem. The 2022 CSD Concepts and Methods Guide is designed to assist CSD data users by providing relevant information on survey content and concepts, sampling design, collection methods, data processing, data quality and product availability.Release date: 2023-12-01
- Surveys and statistical programs – Documentation: 84-538-XGeography: CanadaDescription: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.Release date: 2023-08-28
- Geographic files and documentation: 92-162-XDescription: The Census Subdivision Boundary File contains the boundaries of all census subdivisions which combined cover all of Canada. A census subdivision is a municipality or an area treated as an equivalent to a municipality for statistical purposes (for example, Indian reserves and unorganized territories). The file provides a framework for mapping and spatial analysis using commercially available geographic information systems (GIS) or other mapping software.
The Census Subdivision Boundary File is portrayed in Lambert conformal conic projection and is based on the North American Datum of 1983 (NAD83). A reference guide is available (92-162-G).
Release date: 2023-07-13 - Geographic files and documentation: 92-162-GDescription: This reference guide is intended for users of the Census Subdivisions Boundary File. The guide provides an overview of the file, the general methodology used to create it, and important technical information for users.Release date: 2023-07-12
- Surveys and statistical programs – Documentation: 71F0031X2023001Description: This document introduces and describes updates to the Labour Force Survey estimates in January 2023. These updates include the transition to National Occupational Classification (NOC) 2021 as well as enhancements to the LFS data processing system.Release date: 2023-01-30
- Surveys and statistical programs – Documentation: 71F0031XDescription:
This paper introduces and explains modifications made to the Labour Force Survey estimates.
Release date: 2023-01-30 - Surveys and statistical programs – Documentation: 91-620-XDescription: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.Release date: 2022-08-22
- Geographic files and documentation: 92-143-GDescription:
This guide describes the content and applications of the product, as well as providing information on data quality, record layouts, and methodology.
Release date: 2022-02-09 - Surveys and statistical programs – Documentation: 92-150-GDescription:
This guide describes the content and applications of the product, as well as providing information on data quality, methodology and installation instructions.
Release date: 2022-02-09
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