Keyword search
Filter results by
Search HelpKeyword(s)
Subject
- Agriculture and food (16)
- Business and consumer services and culture (2)
- Business performance and ownership (10)
- Children and youth (6)
- Construction (1)
- Crime and justice (18)
- Digital economy and society (1)
- Economic accounts (24)
- Education, training and learning (28)
- Energy (1)
- Environment (13)
- Families, households and marital status (8)
- Health (53)
- Immigration and ethnocultural diversity (16)
- Income, pensions, spending and wealth (25)
- Indigenous peoples (8)
- International trade (7)
- Labour (44)
- Languages (9)
- Manufacturing (5)
- Older adults and population aging (9)
- Population and demography (16)
- Prices and price indexes (1)
- Science and technology (6)
- Society and community (20)
- Statistical methods (40)
- Transportation (5)
- Travel and tourism (2)
Type
- Articles and reports (179)
- Stats in brief (30)
- Tables (26)
- Surveys and statistical programs – Documentation (13)
- Journals and periodicals (8)
- Notices and consultations (3)
- Profiles of a community or region (2)
- Geographic files and documentation (2)
- Thematic maps (1)
- Public use microdata (1)
- Classifications (1)
Geography
Survey or statistical program
- Canadian Community Health Survey - Annual Component (20)
- Labour Force Survey (10)
- Census of Population (10)
- Survey of Household Spending (8)
- General Social Survey - Victimization (8)
- Uniform Crime Reporting Survey (7)
- Annual Demographic Estimates: Canada, Provinces and Territories (6)
- Time Use Survey (6)
- General Social Survey - Social Identity (6)
- Survey on the Vitality of Official-Language Minorities (6)
- Canadian Financial Capability Survey (6)
- Survey of Labour and Income Dynamics (5)
- Canadian Cancer Registry (4)
- Integrated Criminal Court Survey (4)
- Homicide Survey (4)
- Quarterly Demographic Estimates (4)
- Youth in Transition Survey (4)
- Survey of Residential Facilities for Victims of Abuse (3)
- General Social Survey - Caregiving and Care Receiving (3)
- Culture Services Trade (3)
- Canadian Health Measures Survey (3)
- Gross Domestic Product by Industry - Provincial and Territorial (Annual) (2)
- Survey of Financial Security (2)
- University and College Academic Staff System - Full-time Staff (2)
- International Travel Survey: Electronic questionnaires and Air Exit Survey (2)
- Vital Statistics - Death Database (2)
- Youth Court Survey (2)
- Farm Cash Receipts (2)
- Agriculture Taxation Data Program (2)
- Net Farm Income (2)
- Survey of Family Expenditures (2)
- Population Projections for Canada, Provinces and Territories (2)
- Households and the Environment Survey (2)
- Longitudinal Administrative Databank (2)
- Annual Survey of Research and Development in Canadian Industry (2)
- General Social Survey - Education, Work and Retirement (2)
- Canadian Community Health Survey - Nutrition (2)
- Longitudinal Immigration Database (2)
- Programme for International Student Assessment (2)
- Elementary-Secondary Education Survey (2)
- Canadian Community Health Survey - Healthy Aging (2)
- Biennial Drinking Water Plants Survey (2)
- Access and Support to Education and Training Survey (2)
- Environment Canada - Temperature and Precipitation (2)
- Survey of Environmental Goods and Services (1)
- Gross Domestic Product by Industry - National (Monthly) (1)
- Supply, Use and Input-Output Tables (1)
- Waste Management Industry Survey: Government Sector (1)
- Official Canadian Government Travel Survey (1)
- National Gross Domestic Product by Income and by Expenditure Accounts (1)
- Provincial and Territorial Gross Domestic Product by Income and by Expenditure Accounts (1)
- Annual Environmental Protection Expenditures Survey (1)
- Biennial Waste Management Survey (1)
- Monthly Survey of Manufacturing (1)
- Annual Survey on Rail Transportation (1)
- Rail Commodity Origin and Destination Statistics (1)
- Annual Capital and Repair Expenditures Survey: Actual, Preliminary Actual and Intentions (1)
- Financial Information of Universities Survey (1)
- Tuition and Living Accommodation Costs (1)
- Survey of Earned Doctorates (1)
- Registered Apprenticeship Information System (1)
- Private nursing and residential care facilities (1)
- Indigenous Peoples Survey (1)
- Adult Correctional Services (1)
- Corrections Key Indicator Report for Adults and Youth (1)
- Youth Custody and Community Services (1)
- Survey of Maintenance Enforcement Programs (1)
- Maple Products (1)
- Honey Production, Value and Colonies (1)
- Fur Farm Report - Mink and Foxes (1)
- Census of Wildlife Pelt Production (1)
- Census of Agriculture (1)
- National Farm Survey (1)
- Value of Farm Capital (1)
- Farm Debt Outstanding (1)
- Survey of Consumer Finances (1)
- Annual Demographic Estimates : Subprovincial Areas (1)
- Travel Survey of Residents of Canada (1)
- Survey of Self-employment (1)
- Research and Development of Canadian Private Non-Profit Organizations (1)
- Energy Research and Development Expenditures by Area of Technology (1)
- Programme for the International Assessment of Adult Competencies (1)
- Longitudinal Survey of Immigrants to Canada (1)
- National Longitudinal Survey of Children and Youth (1)
- General Social Survey - Access to and Use of Information Communication Technology (1)
- Frontier Counts (1)
- National Graduates Survey (1)
- Mental Health and Access to Care Survey (MHACS) (1)
- Postsecondary Student Information System (1)
- Agriculture Value Added Account (1)
- Civil Court Survey (1)
- Bioproducts Production and Development Survey (1)
- Culture Trade - Goods (1)
- Aboriginal Children's Survey (1)
- Higher Education Research and Development Estimates (1)
- Canadian System of Environmental and Resource Accounts - Natural Resource Asset Accounts (1)
- Canadian System of Environmental-Economic Accounts - Physical Flow Accounts (1)
- Industrial Water Survey (1)
- Air Quality Indicators (1)
- Freshwater Quality Indicator (1)
- Greenhouse Gas Emissions Indicator (1)
- Projections of the Indigenous populations and households in Canada (1)
- Agricultural Water Survey (1)
- Survey on Living with Chronic Diseases in Canada (1)
- Land Cover Statistics from Natural Resources Canada (1)
- Census of Agriculture: Environmental Geography Aggregations of Census Farm Units (1)
Results
All (266)
All (266) (0 to 10 of 266 results)
- 1. Whole Farm Database Reference Manual ArchivedSurveys and statistical programs – Documentation: 21F0005GDescription:
The Whole Farm Data Base (WFDB) is the product of a joint venture between Agriculture and Agri-Food Canada and Statistics Canada. It was developed with the intention to meet the increasing demands of users of agricultural statistics for more disaggregated data at the whole farm level. The WFDB provides the means for users to evaluate agricultural policies and programs as well as analyze the viability, stability, and competitiveness of various farm businesses.
Integrating into one base the agricultural data, which are available from administrative and survey sources, is the essence of the WFDB. It can offer users access to a wider than ever range of disaggregated physical and financial data at the farm level.
This reference manual will familiarize potential users of the WFDB with the structure of the data base and the quality of the data and give a description of the WFDB products and services that are currently available.
Release date: 2011-12-23 - Articles and reports: 88F0006X2011001Description:
This working paper profiles Canadian firms involved in the development and production of Bioproducts. It provides data on the number and types of Bioproducts firms in 2009, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.
Release date: 2011-12-23 - Journals and periodicals: 88F0006XGeography: CanadaDescription:
Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.
Release date: 2011-12-23 - Articles and reports: 21-004-X201100111412Geography: CanadaDescription:
Statistics Canada administers six surveys per year to collect information on intended, seeded and harvested acreages, yields, production and stocks of principal field crops, and publishes these survey estimates in the Field Crop Reporting Series (FCRS). This paper analyses short-term movements in weekly crop prices from the week before the releases of FCRS to the week after the releases. Field crops included in this study are oats, canola, corn, flax, barley and wheat, while specialty crops studied are sunflower seed, canary seed, field peas, lentils, mustard seed, chick peas and green peas. The data for field crops cover a period from 1990 to 2009 and that for specialty crops cover varying periods from 1992 to 2009 based on their availability. The results reveal that the price changes before and after the official releases of FCRS tend to even out over time. The results also suggest that prices after the releases are as likely to increase as they are to decrease. Based on the findings, the study concludes that the publication of statistics in the FCRS has no systematic effect on crop prices. The results are consistent with the findings of the National Agricultural Statistics Service of the United States Department of Agriculture.
Release date: 2011-12-22 - 5. International Travel ArchivedTable: 66-201-XDescription:
This report summarizes annual findings of travel to and from Canada in the form of tables, charts, maps and an analytical review. The publication provides a profile of international travellers by province/country of residence, area of destination, mode of transportation, purpose, length of stay, expenditures, age group and sex.
Release date: 2011-12-22 - 6. Modelling of complex survey data: Why model? Why is it a problem? How can we approach it? ArchivedArticles and reports: 12-001-X201100211602Description:
This article attempts to answer the three questions appearing in the title. It starts by discussing unique features of complex survey data not shared by other data sets, which require special attention but suggest a large variety of diverse inference procedures. Next a large number of different approaches proposed in the literature for handling these features are reviewed with discussion on their merits and limitations. The approaches differ in the conditions underlying their use, additional data required for their application, goodness of fit testing, the inference objectives that they accommodate, statistical efficiency, computational demands, and the skills required from analysts fitting the model. The last part of the paper presents simulation results, which compare the approaches when estimating linear regression coefficients from a stratified sample in terms of bias, variance, and coverage rates. It concludes with a short discussion of pending issues.
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211603Description:
In many sample surveys there are items requesting binary response (e.g., obese, not obese) from a number of small areas. Inference is required about the probability for a positive response (e.g., obese) in each area, the probability being the same for all individuals in each area and different across areas. Because of the sparseness of the data within areas, direct estimators are not reliable, and there is a need to use data from other areas to improve inference for a specific area. Essentially, a priori the areas are assumed to be similar, and a hierarchical Bayesian model, the standard beta-binomial model, is a natural choice. The innovation is that a practitioner may have much-needed additional prior information about a linear combination of the probabilities. For example, a weighted average of the probabilities is a parameter, and information can be elicited about this parameter, thereby making the Bayesian paradigm appropriate. We have modified the standard beta-binomial model for small areas to incorporate the prior information on the linear combination of the probabilities, which we call a constraint. Thus, there are three cases. The practitioner (a) does not specify a constraint, (b) specifies a constraint and the parameter completely, and (c) specifies a constraint and information which can be used to construct a prior distribution for the parameter. The griddy Gibbs sampler is used to fit the models. To illustrate our method, we use an example on obesity of children in the National Health and Nutrition Examination Survey in which the small areas are formed by crossing school (middle, high), ethnicity (white, black, Mexican) and gender (male, female). We use a simulation study to assess some of the statistical features of our method. We have shown that the gain in precision beyond (a) is in the order with (b) larger than (c).
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211604Description:
We propose a method of mean squared error (MSE) estimation for estimators of finite population domain means that can be expressed in pseudo-linear form, i.e., as weighted sums of sample values. In particular, it can be used for estimating the MSE of the empirical best linear unbiased predictor, the model-based direct estimator and the M-quantile predictor. The proposed method represents an extension of the ideas in Royall and Cumberland (1978) and leads to MSE estimators that are simpler to implement, and potentially more bias-robust, than those suggested in the small area literature. However, it should be noted that the MSE estimators defined using this method can also exhibit large variability when the area-specific sample sizes are very small. We illustrate the performance of the method through extensive model-based and design-based simulation, with the latter based on two realistic survey data sets containing small area information.
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211605Description:
Composite imputation is often used in business surveys. The term "composite" means that more than a single imputation method is used to impute missing values for a variable of interest. The literature on variance estimation in the presence of composite imputation is rather limited. To deal with this problem, we consider an extension of the methodology developed by Särndal (1992). Our extension is quite general and easy to implement provided that linear imputation methods are used to fill in the missing values. This class of imputation methods contains linear regression imputation, donor imputation and auxiliary value imputation, sometimes called cold-deck or substitution imputation. It thus covers the most common methods used by national statistical agencies for the imputation of missing values. Our methodology has been implemented in the System for the Estimation of Variance due to Nonresponse and Imputation (SEVANI) developed at Statistics Canada. Its performance is evaluated in a simulation study.
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211606Description:
This paper introduces a U.S. Census Bureau special compilation by presenting four other papers of the current issue: three papers from authors Tillé, Lohr and Thompson as well as a discussion paper from Opsomer.
Release date: 2011-12-21
- Previous Go to previous page of All results
- 1 (current) Go to page 1 of All results
- 2 Go to page 2 of All results
- 3 Go to page 3 of All results
- 4 Go to page 4 of All results
- 5 Go to page 5 of All results
- 6 Go to page 6 of All results
- 7 Go to page 7 of All results
- ...
- 27 Go to page 27 of All results
- Next Go to next page of All results
Data (30)
Data (30) (20 to 30 of 30 results)
- 21. Ecoregion profile: Eastern Vancouver Island ArchivedProfile of a community or region: 16-002-X201100311550Description:
The Eastern Vancouver Island ecoregion profile is the seventh in a series of ecoregion profiles. The information presented includes a brief description of the physical setting, a snapshot of land cover and use as well as statistics on selected socio-economic characteristics of the region.
Release date: 2011-09-20 - 22. Rail in Canada ArchivedTable: 52-216-XDescription:
This on-line publication provides information relating to the size and structure of the Canadian rail transport industry. A general overview of the rail industry for a six year period is followed by a more in-depth analysis on the economic performance, financial structure and equipment use for the reference period. The publication also provides commodity origin and destination data series supplied by the Canadian Transportation Agency. Each year, one or more special studies related to the railway industry are also presented.
Release date: 2011-09-20 - 23. Salaries and Salary Scales of Full-time Teaching Staff at Canadian Universities, 2010/2011: Preliminary Report ArchivedTable: 81-595-M2011091Geography: CanadaDescription:
This bulletin contains salary information for the year 2010/2011. Information is provided for institutions that have determined salaries for the period and have responded to the survey by June 2011. This information is collected annually under the University and College Academic Staff System and has a reference date of October 1st. Therefore, the data reflect employment in universities as of that date. Each university must authorize Statistics Canada to release their information. However, information for institutions that have less than 100 full-time staff are not included in this bulletin but are available by special request.
Release date: 2011-08-30 - 24. Statistics on Income of Farm Families ArchivedTable: 21-207-XDescription:
This publication provides information on sources and levels of farm and off-farm income for farm families by province, type of farm (based on the North American Industry Classification System) and farm typology (based on age of operator, dependence on farm revenues and income level).
Distributional tables on income of farm families are also presented. This publication also includes data highlights and information on concepts, methods and data quality. A relevant article on the story emanating from the data is also featured.
Data from Canada Revenue Agency's income tax returns of farm families operating a single unincorporated farm provide the statistical basis for this publication.
Release date: 2011-07-26 - Table: 11-210-XDescription:
This companion volume contains historical annual series that correspond to those published in the monthly tables. It includes Canada-wide data on the national accounts, prices, international and domestic trade, labour and financial markets, as well as provincial data on employment earnings, retail trade, housing and consumer price indexes.
Release date: 2011-07-14 - Table: 16-201-SDescription:
Human Activity and the Environment: Detailed Statistics (16-201-S) is a collection of statistics focusing on human activities from an environmental perspective. Data are compiled from many sources including Statistics Canada, federal government departments, provincial governments and other sources. It is complimented by Human Activity and the Environment (16-201-X), which provides analysis on current environmental issues.
Release date: 2011-06-28 - 27. Work absences in 2010 ArchivedTable: 75-001-X201100211452Description:
This overview presents data on absences from work for personal reasons (illness or disability and personal or family responsibilities) by various demographic and labour market characteristics, using data from the Labour Force Survey. Only full-time employees have been considered in this analysis.
Release date: 2011-05-25 - Table: 61-232-XDescription:
Foreign and Domestic Investment in Canada contains capital investment data for construction, machinery and equipment, by country of control. The data were compiled from the Surveys of Capital Expenditures, which also produce the Private and Public Investment Series. Data are available at the two-digit NAICS level for Canada, United States, Germany, France, United Kingdom, Italy, Japan, Netherlands, Sweden, and Switzerland.
Release date: 2011-05-06 - 29. Ecoregion profile: Fescue Grassland ArchivedProfile of a community or region: 16-002-X201100111420Description:
The Fescue Grassland ecoregion profile is the sixth in a series of ecoregion profiles. The information presented includes a brief description of the physical setting, a snapshot of land cover and use as well as statistics on selected socio-economic characteristics of the region.
Release date: 2011-03-23 - Public use microdata: 11-625-XDescription: This subscription-based service offers institutional access to the collection of available Statistics Canada public use microdata files (PUMF). For a yearly fee, designated contacts at subscribing institutions can have unlimited access to all microdata and documentation available in the PUMF collection. Public use microdata files contain anonymized, non-aggregated data. Using statistical software, the end user can group and manipulate data variables in these files to suit data and research requirements.Release date: 2011-01-17
Analysis (217)
Analysis (217) (0 to 10 of 217 results)
- Articles and reports: 88F0006X2011001Description:
This working paper profiles Canadian firms involved in the development and production of Bioproducts. It provides data on the number and types of Bioproducts firms in 2009, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.
Release date: 2011-12-23 - Journals and periodicals: 88F0006XGeography: CanadaDescription:
Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.
Release date: 2011-12-23 - Articles and reports: 21-004-X201100111412Geography: CanadaDescription:
Statistics Canada administers six surveys per year to collect information on intended, seeded and harvested acreages, yields, production and stocks of principal field crops, and publishes these survey estimates in the Field Crop Reporting Series (FCRS). This paper analyses short-term movements in weekly crop prices from the week before the releases of FCRS to the week after the releases. Field crops included in this study are oats, canola, corn, flax, barley and wheat, while specialty crops studied are sunflower seed, canary seed, field peas, lentils, mustard seed, chick peas and green peas. The data for field crops cover a period from 1990 to 2009 and that for specialty crops cover varying periods from 1992 to 2009 based on their availability. The results reveal that the price changes before and after the official releases of FCRS tend to even out over time. The results also suggest that prices after the releases are as likely to increase as they are to decrease. Based on the findings, the study concludes that the publication of statistics in the FCRS has no systematic effect on crop prices. The results are consistent with the findings of the National Agricultural Statistics Service of the United States Department of Agriculture.
Release date: 2011-12-22 - 4. Modelling of complex survey data: Why model? Why is it a problem? How can we approach it? ArchivedArticles and reports: 12-001-X201100211602Description:
This article attempts to answer the three questions appearing in the title. It starts by discussing unique features of complex survey data not shared by other data sets, which require special attention but suggest a large variety of diverse inference procedures. Next a large number of different approaches proposed in the literature for handling these features are reviewed with discussion on their merits and limitations. The approaches differ in the conditions underlying their use, additional data required for their application, goodness of fit testing, the inference objectives that they accommodate, statistical efficiency, computational demands, and the skills required from analysts fitting the model. The last part of the paper presents simulation results, which compare the approaches when estimating linear regression coefficients from a stratified sample in terms of bias, variance, and coverage rates. It concludes with a short discussion of pending issues.
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211603Description:
In many sample surveys there are items requesting binary response (e.g., obese, not obese) from a number of small areas. Inference is required about the probability for a positive response (e.g., obese) in each area, the probability being the same for all individuals in each area and different across areas. Because of the sparseness of the data within areas, direct estimators are not reliable, and there is a need to use data from other areas to improve inference for a specific area. Essentially, a priori the areas are assumed to be similar, and a hierarchical Bayesian model, the standard beta-binomial model, is a natural choice. The innovation is that a practitioner may have much-needed additional prior information about a linear combination of the probabilities. For example, a weighted average of the probabilities is a parameter, and information can be elicited about this parameter, thereby making the Bayesian paradigm appropriate. We have modified the standard beta-binomial model for small areas to incorporate the prior information on the linear combination of the probabilities, which we call a constraint. Thus, there are three cases. The practitioner (a) does not specify a constraint, (b) specifies a constraint and the parameter completely, and (c) specifies a constraint and information which can be used to construct a prior distribution for the parameter. The griddy Gibbs sampler is used to fit the models. To illustrate our method, we use an example on obesity of children in the National Health and Nutrition Examination Survey in which the small areas are formed by crossing school (middle, high), ethnicity (white, black, Mexican) and gender (male, female). We use a simulation study to assess some of the statistical features of our method. We have shown that the gain in precision beyond (a) is in the order with (b) larger than (c).
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211604Description:
We propose a method of mean squared error (MSE) estimation for estimators of finite population domain means that can be expressed in pseudo-linear form, i.e., as weighted sums of sample values. In particular, it can be used for estimating the MSE of the empirical best linear unbiased predictor, the model-based direct estimator and the M-quantile predictor. The proposed method represents an extension of the ideas in Royall and Cumberland (1978) and leads to MSE estimators that are simpler to implement, and potentially more bias-robust, than those suggested in the small area literature. However, it should be noted that the MSE estimators defined using this method can also exhibit large variability when the area-specific sample sizes are very small. We illustrate the performance of the method through extensive model-based and design-based simulation, with the latter based on two realistic survey data sets containing small area information.
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211605Description:
Composite imputation is often used in business surveys. The term "composite" means that more than a single imputation method is used to impute missing values for a variable of interest. The literature on variance estimation in the presence of composite imputation is rather limited. To deal with this problem, we consider an extension of the methodology developed by Särndal (1992). Our extension is quite general and easy to implement provided that linear imputation methods are used to fill in the missing values. This class of imputation methods contains linear regression imputation, donor imputation and auxiliary value imputation, sometimes called cold-deck or substitution imputation. It thus covers the most common methods used by national statistical agencies for the imputation of missing values. Our methodology has been implemented in the System for the Estimation of Variance due to Nonresponse and Imputation (SEVANI) developed at Statistics Canada. Its performance is evaluated in a simulation study.
Release date: 2011-12-21 - Articles and reports: 12-001-X201100211606Description:
This paper introduces a U.S. Census Bureau special compilation by presenting four other papers of the current issue: three papers from authors Tillé, Lohr and Thompson as well as a discussion paper from Opsomer.
Release date: 2011-12-21 - 9. 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-X201100211608Description:
Designs and estimators for the single frame surveys currently used by U.S. government agencies were developed in response to practical problems. Federal household surveys now face challenges of decreasing response rates and frame coverage, higher data collection costs, and increasing demand for small area statistics. Multiple frame surveys, in which independent samples are drawn from separate frames, can be used to help meet some of these challenges. Examples include combining a list frame with an area frame or using two frames to sample landline telephone households and cellular telephone households. We review point estimators and weight adjustments that can be used to analyze multiple frame surveys with standard survey software, and summarize construction of replicate weights for variance estimation. Because of their increased complexity, multiple frame surveys face some challenges not found in single frame surveys. We investigate misclassification bias in multiple frame surveys, and propose a method for correcting for this bias when misclassification probabilities are known. Finally, we discuss research that is needed on nonsampling errors with multiple frame surveys.
Release date: 2011-12-21
- Previous Go to previous page of Analysis results
- 1 (current) Go to page 1 of Analysis results
- 2 Go to page 2 of Analysis results
- 3 Go to page 3 of Analysis results
- 4 Go to page 4 of Analysis results
- 5 Go to page 5 of Analysis results
- 6 Go to page 6 of Analysis results
- 7 Go to page 7 of Analysis results
- ...
- 22 Go to page 22 of Analysis results
- Next Go to next page of Analysis results
Reference (19)
Reference (19) (0 to 10 of 19 results)
- 1. Whole Farm Database Reference Manual ArchivedSurveys and statistical programs – Documentation: 21F0005GDescription:
The Whole Farm Data Base (WFDB) is the product of a joint venture between Agriculture and Agri-Food Canada and Statistics Canada. It was developed with the intention to meet the increasing demands of users of agricultural statistics for more disaggregated data at the whole farm level. The WFDB provides the means for users to evaluate agricultural policies and programs as well as analyze the viability, stability, and competitiveness of various farm businesses.
Integrating into one base the agricultural data, which are available from administrative and survey sources, is the essence of the WFDB. It can offer users access to a wider than ever range of disaggregated physical and financial data at the farm level.
This reference manual will familiarize potential users of the WFDB with the structure of the data base and the quality of the data and give a description of the WFDB products and services that are currently available.
Release date: 2011-12-23 - Surveys and statistical programs – Documentation: 75F0002M2011004Description:
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 2009.
Release date: 2011-10-27 - 3. Conceptual framework for Culture Statistics 2011 ArchivedSurveys and statistical programs – Documentation: 87-542-X2011001Geography: CanadaDescription:
The first issue of the series presents the Conceptual Framework for Culture Statistics 2011, a revision of the 2004 Canadian Framework for Culture Statistics.
The conceptual framework contains an official statistical definition of culture and describes a set of culture domains that can be used to measure culture from creation to use.
Release date: 2011-10-24 - Surveys and statistical programs – Documentation: 87-542-X2011002Geography: CanadaDescription:
The second issue of this series is a companion piece to the Conceptual Framework for Culture Statistics 2011, a revision to the 2004 Canadian Framework for Culture Statistics.
The guide maps the 2011 Canadian framework for culture statistics to the following Statistics Canada's standard classification systems: the North American Industry Classification System (NAICS) 2007, the North American Product Classification System (NAPCS) - Canada (Provisional Version 0.1), National Occupational Classification - Statistics (NOC-S) 2006 and Classification of Instructional Programs (CIP), Canada, 2000.
It contains explanations, definitions and examples of how the classification codes are mapped to the conceptual framework. It also contains a series of tables that contain codes, by classification system, which help illustrate the framework domains and sub-domains, and flags those codes that do not map well to the framework.
Release date: 2011-10-24 - Surveys and statistical programs – Documentation: 87-542-XGeography: CanadaDescription:
This series the Canadian Framework for Culture Statistics 2011 replaces the 2004 Canadian Framework for Culture Statistics (Catalogue 81-595-MIE2004021).
The first issue of this series presents the conceptual framework, including a definition of culture, domains and sub-domains, and criteria for their inclusion in culture. The second issue is a guide that maps the conceptual framework to selected standard classification systems. It is intended to foster a standard approach to the measurement of culture in Canada.
Release date: 2011-10-24 - Surveys and statistical programs – Documentation: 98-300-XDescription:
The Preview of Products and Services offers an overview of the proposed products and services that will be released based on the 2011 Census of Population and 2011 Census of Agriculture results. Information will include a description of the products and services, 'What's new?' in comparison to 2006, levels of geography, availability/delivery methods, release timeframe and pricing.
The preview is an Internet product, and a PDF version is available via the Internet. This product will be updated periodically as details regarding products and services become finalized.
Release date: 2011-09-21 - Surveys and statistical programs – Documentation: 92-144-XDescription:
The Preview of Census Geography Products and Services offers an overview of the proposed products and services that will be released based on the upcoming Census of Population. The geography product line includes geography concepts, enhancements and improvements to existing products, and a greater presence on the website. Reference maps and other geographic products are available in a variety of media. This document previews and highlights changes within the census geography product line.Technical limitations may result in some modifications to products described within this document. Users are encouraged to read the reference guides that accompany geography products for final product details.
Release date: 2011-08-23 - Geographic files and documentation: 92-153-GDescription:
The Postal Code Conversion File (PCCF) Reference Guide is available for the following product: Postal Code Conversion File (PCCF) (Catalogue No. 92-153-XCB). The Reference Guide describes how to use the product.
Release date: 2011-07-20 - Geographic files and documentation: 92F0193GDescription:
Most Geography products come with free reference guides that describe the content and applications of the product, as well as data quality, record layouts and other information. Reference guides are included as PDF files with the products when they are distributed. The guides are also accessible online.
Release date: 2011-07-20 - 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
- Date modified: