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All (257)

All (257) (240 to 250 of 257 results)

241. Marginal models for repeated observations: Inference with survey data Archived
Surveys and statistical programs – Documentation: 11-522-X19980015029
Description:
In longitudinal surveys, sample subjects are observed over several time points. This feature typically leads to dependent observations on the same subject, in addition to the customary correlations across subjects induced by the sample design. Much research in the literature has focussed on modeling the marginal mean of a response as a function of covariates. Liang and Zeger (1986) used generalized estimating equations (GEE), requiring only correct specification of the marginal mean, and obtained standard errors of regression parameter estimates and associated Wald tests, assuming a "working" correlation structure for the repeated measurements on a sample subject. Rotnitzky and Jewell (1990) developed quasi-score tests and Rao-Scott adjustments to "working" quasi-score tests under marginal models. These methods are asymptotically robust to misspecification of the within-subject correlation structure, but assume independence of sample subjects which is not satisfied for complex longitudinal survey data based on stratified multi-stage sampling. We proposed asymptotically valid Wald and quasi-score tests for longitudinal survey data, using the Taylor Linearization and jackknife methods. Alternative tests, based on Rao-Scott adjustments to naive tests that ignore survey design features and on Bonferroni-t, are also developed. These tests are particularly useful when the effective degrees of freedom, usually taken as the total number of sample primary units (clusters) minus the number of strata, is small.
Release date: 1999-10-22
242. Estimating the incidence of dementia from longitudinal two-phase sampling with nonignorable missing data Archived
Surveys and statistical programs – Documentation: 11-522-X19980015030
Description:
Two-phase sampling designs have been conducted in waves to estimate the incidence of a rare disease such as dementia. Estimation of disease incidence from longitudinal dementia study has to appropriately adjust for data missing by death as well as the sampling design used at each study wave. In this paper we adopt a selection model approach to model the missing data by death and use a likelihood approach to derive incidence estimates. A modified EM algorithm is used to deal with data missing by sampling selection. The non-paramedic jackknife variance estimator is used to derive variance estimates for the model parameters and the incidence estimates. The proposed approaches are applied to data from the Indianapolis-Ibadan Dementia Study.
Release date: 1999-10-22
243. Weighting and variance estimation for the exploration of possible time trends in data from the U.S. Third National Health and Nutrition Examination Survey Archived
Surveys and statistical programs – Documentation: 11-522-X19980015031
Description:
The U.S. Third National Health and Nutrition Examination Survey (NHANES III) was carried out from 1988 to 1994. This survey was intended primarily to provide estimates of cross-sectional parameters believed to be approximately constant over the six-year data collection period. However, for some variable (e.g., serum lead, body mass index and smoking behavior), substantive considerations suggest the possible presence of nontrivial changes in level between 1988 and 1994. For these variables, NHANES III is potentially a valuable source of time-change information, compared to other studies involving more restricted populations and samples. Exploration of possible change over time is complicated by two issues. First, there was of practical concern because some variables displayed substantial regional differences in level. This was of practical concern because some variables displayed substantial regional differences in level. Second, nontrivial changes in level over time can lead to nontrivial biases in some customary NHANES III variance estimators. This paper considers these two problems and discusses some related implications for statistical policy.
Release date: 1999-10-22
244. Multivariate logistic regression for data from complex surveys Archived
Surveys and statistical programs – Documentation: 11-522-X19980015036
Description:
Multivariate logistic regression, introduced by Glonek and McCullagh (1995) as a generalisation of logistic regression, is useful in the analysis of longitudinal data as it allows for dependent repeated observations of a categorical variable and for incomplete response profiles. We show how the method can be extended to deal with data from complex surveys and we illustrate it on data from the Swiss Labour Force Survey. The effect of the sampling weights on the parameter estimates and their standard errors is considered.
Release date: 1999-10-22
245. Inequalities in Literacy Skills Among Youth in Canada and the United States (Highlights) Archived
Journals and periodicals: 89F0116X
Geography: Canada
Description:
These highlights provide a brief summary of the report "Inequalities in literacy skills among youth in Canada and the United States", the latest monograph released using data from the International Adult Literacy Survey. This report suggests that youth in North America do not fare as well in their literacy skills as their European counterparts. Variables such as income and education continue to have direct and indirect effects on people's literacy skills.
Release date: 1999-10-15
246. Inequalities in Literacy Skills Among Youth in Canada and the United States Archived
Articles and reports: 89-552-M1999006
Geography: Canada
Description:
This study examines the general finding that Canadian youth from higher socio-economic backgrounds tend to perform better on the International Adult Literacy Survey (IALS) than do youth from disadvantaged backgrounds. It also looks at whether this applies to states within the United States.
Release date: 1999-09-22
247. A glance at the new North American Industrial Classification System Archived
Articles and reports: 63-016-X19990014622
Geography: Canada
Description:
The North American Industrial Classification System (NAICS) is being adopted by Statistics Canada to replace the 1980 Standard Industrial Classification (SIC) system used during the past two decades. The impetus behind NAICS was the North American Free Trade Agreement (NAFTA) and the resultant need for the three signatories (Canada, the United States and Mexico) to have a statistical framework enabling industrial statistics to be collected, analyzed and disseminated in a consistent manner by all three countries on an industry-by-industry basis.
Release date: 1999-07-15
248. Statistics Canada's Business Surveys Archived
Surveys and statistical programs – Documentation: 61F0019X19990025579
Geography: Canada
Description:
The Unified Enterprise Survey (UES) incorporates several annual business surveys into an integrated survey framework. It aims to ensure Statistics Canada receives consistent and integrated data from many types and sizes of businesses, with enough detail to produce accurate provincial statistics. This year, 17 industry surveys are included in the UES, as well as two cross-industry surveys of large enterprises.
Release date: 1999-06-25
249. A Five-year Strategic Plan for the Development of an Information System for Science and Technology Archived
Journals and periodicals: 88-523-X
Description:
This publication outlines a five-year strategic plan for the development of an information system for science and technology.
Release date: 1999-04-23
250. Data Products: Dimensions Series: 1996 Census of Population Archived
Table: 94F0005X
Description:
This CD-ROM is part of the Dimensions Series which provides an in-depth analysis of census data. More than 150 tables represent a variety of special interest subjects linking a number of Census variables. Statistical information is presented on themes of considerable public interest with some tables examining historical trends and other tables detailing significant sub-populations. Data for geographical levels of Canada, Provinces and Territories are most widely represented with some data tables produced at the Census Metropolitan Area level. The Portrait of Official Language Communities in Canada and the Portrait of Aboriginal Population of Canada contain some information at the community level.Some tables show comparisons with data from earlier censuses to provide an historical perspective.
Release date: 1999-04-06

Data (7)

Data (7) ((7 results))

1. Canadian Statistical Geospatial Explorer Hub
Data Visualization: 71-607-X2020010
Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.
Release date: 2024-08-21
2. Hierarchical File, 2006 Census (Public Use Microdata Files)
Public use microdata: 95M0029X
Description: This hierarchical file provides data on the characteristics of the population. The 2006 Census Public Use Microdata Files (PUMFs) contain samples of anonymous responses to the 2006 Census questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses. The individual file was released on March 4, 2010 and the hierarchical file is available as of today, May 2, 2011.
Microdata files are unique among census products in that they give users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other census products can be created or relationships between variables can be analysed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.

Most of the subject matter covered by the census is included in the microdata files. To ensure the respondents' anonymity, geographic identifiers have been restricted to provinces/territories and large metropolitan areas.

This product, offered on CD-ROM, contains the data file (in ASCII format), user documentation and SAS and SPSS program source codes to enable you to read the set of records. Note: users will require knowledge of data manipulation and retrieval software such as SAS or SPSS to be able to use this product.
Release date: 2023-09-12
3. Canadian Social Environment Typology: Data File and User Guide Archived
Table: 17-20-00022022001
Description: The Canadian Social Environment Typology (CanSET) data file on cluster membership by dissemination area is a downloadable data file. The file includes information on the variables that were used to create the clusters and a data table with cluster options on membership by dissemination area.
Release date: 2022-05-09
4. National Income and Expenditure Accounts: Data Tables Archived
Table: 13-019-X
Description: These data tables provide quarterly information on Canada's National Income and Expenditure Accounts (NIEA), 1961-2012. It contains seasonally adjusted data on gross domestic product (GDP) by income and by expenditure, saving and investment, borrowing and lending of each of four broad sectors of the economy: (i) persons and unincorporated businesses, (ii) corporate and government business enterprises, (iii) governments and (iv) non-residents. Information is also provided for selected subsectors. The tables include data beginning in 1961, and is no longer being released.
Release date: 2012-08-31
5. Livestock Statistics Archived
Table: 23-603-X
Description:
This publication contains data from 1976 to date for major livestock series: cattle and calves, hogs, sheep and lambs, wool, furs, trade and prices, stocks of frozen meats, and apparent per capita meat consumption. Data highlights are also included. New and revised estimates for these data are released four times a year.
Release date: 2003-03-05
6. Trade and Transportation: The Impact of the 1995 Transborder Air Services Accord Archived
Table: 51F0007X
Description:
For most of the post-war period, Canada and the United States have utilized an open regime to govern trade relations between the two countries. Such has not always been the case for transborder air services, however. In 1966, the two countries signed an air services accord (ASA) that governed commercial air services between the two. The 1966 accord was quite restrictive, limiting entry and price competition in transborder markets. This restrictive agreement governed Canada-U.S. air service for almost 30 years, finally being replaced in 1995 with a new ASA that has granted entry and pricing freedom in transborder markets.
Release date: 2001-06-05
7. Data Products: Dimensions Series: 1996 Census of Population Archived
Table: 94F0005X
Description:
This CD-ROM is part of the Dimensions Series which provides an in-depth analysis of census data. More than 150 tables represent a variety of special interest subjects linking a number of Census variables. Statistical information is presented on themes of considerable public interest with some tables examining historical trends and other tables detailing significant sub-populations. Data for geographical levels of Canada, Provinces and Territories are most widely represented with some data tables produced at the Census Metropolitan Area level. The Portrait of Official Language Communities in Canada and the Portrait of Aboriginal Population of Canada contain some information at the community level.Some tables show comparisons with data from earlier censuses to provide an historical perspective.
Release date: 1999-04-06

Analysis (189)

Analysis (189) (180 to 190 of 189 results)

181. Inequalities in Literacy Skills Among Youth in Canada and the United States Archived
Articles and reports: 89-552-M1999006
Geography: Canada
Description:
This study examines the general finding that Canadian youth from higher socio-economic backgrounds tend to perform better on the International Adult Literacy Survey (IALS) than do youth from disadvantaged backgrounds. It also looks at whether this applies to states within the United States.
Release date: 1999-09-22
182. A glance at the new North American Industrial Classification System Archived
Articles and reports: 63-016-X19990014622
Geography: Canada
Description:
The North American Industrial Classification System (NAICS) is being adopted by Statistics Canada to replace the 1980 Standard Industrial Classification (SIC) system used during the past two decades. The impetus behind NAICS was the North American Free Trade Agreement (NAFTA) and the resultant need for the three signatories (Canada, the United States and Mexico) to have a statistical framework enabling industrial statistics to be collected, analyzed and disseminated in a consistent manner by all three countries on an industry-by-industry basis.
Release date: 1999-07-15
183. A Five-year Strategic Plan for the Development of an Information System for Science and Technology Archived
Journals and periodicals: 88-523-X
Description:
This publication outlines a five-year strategic plan for the development of an information system for science and technology.
Release date: 1999-04-23
184. Science and Technology Activities and Impacts: A Framework for a Statistical Information Archived
Journals and periodicals: 88-522-X
Description:
The framework described here is intended as a basic operational instrument for systematic development of statistical information respecting the evolution of science and technology and its interactions with the society, the economy and the political system of which it is a part.
Release date: 1999-02-24
185. Market globalization and its impact on the supply of information: The case of Mexico Archived
Articles and reports: 61-532-X19970013496
Description:
Society is changing, its information needs are multiplying, and as a result, the National Systems of Information take advantage of the technology available and adjust their mechanisms and ways of generating statistical and geographical data so as to provide new products and services to effectively to meet these new requirements.
Release date: 1998-02-02
186. Applications of spatial smoothing to survey data Archived
Articles and reports: 12-001-X19960022984
Description:
In this paper we present two applications of spatial smoothing using data collected in a large scale economic survey of Australian farms: one a small area and the other a large area application. In the small area application, we describe how the sample weigths can be spatially smoothed in order to improve small area estimates. In the large area application, we give a method for spatially smoothing and then mapping the survey data. The standard method of weighting in the survey is a variant of linear regression weighting. For the small area application, this method is modified by introducing a constraint on the spatial variability of the weights. Results from a small scale empirical study indicate that this decreases the variance of the small area estimators as expected, but at the cost of an increase in their bias. In the large area application, we describe the nonparametric regression method used to spatially smooth the survey data as well as techniques for mapping this smoothed data using a Geographic Information System (GIS) package. We also present the results of a simulation study conducted to determine the most appropriate method and level of smoothing for use in the maps.
Release date: 1997-01-30
187. Using data on interruptions in telephone service as coverage adjustments Archived
Articles and reports: 12-001-X19960022985
Description:
Telephone surveys in the U.S. are subject to coverage bias because about 6 percent of all households do not have a telephone at any particular point in time. The bias resulting from this undercoverage can be important since those who do not have a telephone are generally poorer and have other characteristics that differ from the telephone population. Poststratification and the other usual methods of adjustment often do not fully compensate for this bias. This research examines a procedure for adjusting the survey estimates based on the observation that some households have a telephone for only part of the year, often due to economic circumstances. By collecting data on interruptions in telephone service in the past year, statistical adjustments of the estimates can be made which may reduce the bias in the estimates but which at the same time increase variances because of greater variability in weights. This paper considers a method of adjustment using data collected from a national telephone survey. Estimates of the reductions in bias and the effect on the mean square error of the estimates are computed for a variety of statistics. The results show that when the estimates from the survey are highly related to economic conditions the telephone interruption adjustment procedure can improve the mean square error of the estimates.
Release date: 1997-01-30
188. The future of data dissemination Archived
Articles and reports: 75-001-X19960022891
Description:
Last November, Statistics Canada hosted its 12th annual International Symposium on Methodology Issues. This report outlines selected speakers' observations about the radical changes taking place in the creation and delivery of statistical information.
Release date: 1996-06-05
189. Socio-economic Statistics and Public Policy: A New Role for Microsimulation Modeling Archived
Articles and reports: 11F0019M1995081
Geography: Canada
Description:
Users of socio-economic statistics typically want more and better information. Often, these needs can be met simply by more extensive data collections, subject to usual concerns over financial costs and survey respondent burdens. Users, particularly for public policy purposes, have also expressed a continuing, and as yet unfilled, demand for an integrated and coherent system of socio-economic statistics. In this case, additional data will not be sufficient; the more important constraint is the absence of an agreed conceptual approach.
In this paper, we briefly review the state of frameworks for social and economic statistics, including the kinds of socio-economic indicators users may want. These indicators are motivated first in general terms from basic principles and intuitive concepts, leaving aside for the moment the practicalities of their construction. We then show how a coherent structure of such indicators might be assembled.
A key implication is that this structure requires a coordinated network of surveys and data collection processes, and higher data quality standards. This in turn implies a breaking down of the "stovepipe" systems that typify much of the survey work in national statistical agencies (i.e. parallel but generally unrelated data "production lines"). Moreover, the data flowing from the network of surveys must be integrated. Since the data of interest are dynamic, the proposed method goes beyond statistical matching to microsimulation modeling. Finally, these ideas are illustrated with preliminary results from the LifePaths model currently under development in Statistics Canada.
Release date: 1995-07-30

Reference (57)

Reference (57) (0 to 10 of 57 results)

1. Census of Population web pages: Profile Part 1, How to find and filter data
Surveys and statistical programs – Documentation: 98-20-00032021032
Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain where to find the most popular standard data product of the Census of Population, the 2021 Census Profile, and how to filter the data.
Release date: 2024-07-10
2. Census of Population web pages: Profile Part 2, Adding geographies and downloading options
Surveys and statistical programs – Documentation: 98-20-00032021033
Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain how to add geographies in the 2021 Census Profile and to present the various downloading options to see the data.
Release date: 2024-07-10
3. 2026 Census of Population Content Consultation Results: What we heard from Canadians
Notices and consultations: 92-137-X2024001
Description: Data from the Census of Population are important for all communities and are vital to plan services that support education, employment, transportation, health care and housing. To maintain the relevance of the census, Statistics Canada evaluates and reviews the census questionnaire content for each census cycle. In preparation for the 2026 Census, Statistics Canada consulted Canadians from fall 2022 to spring 2023. Detailed responses were received from organizations and individuals representing federal, provincial, territorial and local government departments; First Nations people, Métis and Inuit; the general public; academia; special interest groups; and the private sector.
This report focuses on the findings of the 2026 Census data needs consultation and stakeholder discussions. Chapter 1 explains whom we consulted. Chapter 2 describes the strength of census data users’ needs such as the size of the population of interest. Chapter 3 provides an assessment of the perceived data gaps in census content and the availability and suitability of alternative data sources. Chapter 4 focuses on information needs by census topic and how preparations for the 2024 Census Test will help meet these needs.
Release date: 2024-04-17
4. Methods for Constructing Life Tables for Canada, Provinces and Territories
Surveys and statistical programs – Documentation: 84-538-X
Geography: Canada
Description: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.
Release date: 2023-08-28
5. Statistics Canada's Data Access Training Series
Surveys and statistical programs – Documentation: 89-20-0008
Description:
These videos are part of the confidentiality vetting support series and present examples of how to use different statistical software packages to perform the analyses required for researchers working with confidential data.

Release date: 2022-04-29
6. Statistics Canada Quality Guidelines
Surveys and statistical programs – Documentation: 12-539-X
Description:
This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.
Release date: 2019-12-04
7. Transition of Labour Force Survey Data Processing to the Social Survey Processing Environment (SSPE) Archived
Surveys and statistical programs – Documentation: 75-005-M2019001
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.
Release date: 2019-02-08
8. Methodology of the Canadian Labour Force Survey
Surveys and statistical programs – Documentation: 71-526-X
Description:
The Canadian Labour Force Survey (LFS) is the official source of monthly estimates of total employment and unemployment. Following the 2011 census, the LFS underwent a sample redesign to account for the evolution of the population and labour market characteristics, to adjust to changes in the information needs and to update the geographical information used to carry out the survey. The redesign program following the 2011 census culminated with the introduction of a new sample at the beginning of 2015. This report is a reference on the methodological aspects of the LFS, covering stratification, sampling, collection, processing, weighting, estimation, variance estimation and data quality.
Release date: 2017-12-21
9. Data Quality Toolkit
Surveys and statistical programs – Documentation: 12-606-X
Description:
This is a toolkit intended to aid data producers and data users external to Statistics Canada.
Release date: 2017-09-27
10. User Guide for the Survey of Household Spending, 2014 Archived
Surveys and statistical programs – Documentation: 62F0026M2016001
Description:
This report describes the quality indicators produced for the 2014 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: 2016-02-12

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