Keyword search
Filter results by
Search HelpKeyword(s)
Subject
- Agriculture and food (10)
- Business and consumer services and culture (1)
- Business performance and ownership (4)
- Children and youth (8)
- Crime and justice (18)
- Economic accounts (19)
- Education, training and learning (9)
- Energy (1)
- Environment (5)
- Families, households and marital status (1)
- Health (35)
- Housing (2)
- Immigration and ethnocultural diversity (10)
- Income, pensions, spending and wealth (9)
- Indigenous peoples (11)
- International trade (3)
- Labour (20)
- Languages (6)
- Manufacturing (5)
- Older adults and population aging (2)
- Population and demography (5)
- Prices and price indexes (5)
- Retail and wholesale (1)
- Science and technology (2)
- Society and community (10)
- Statistical methods (25)
- Transportation (1)
- Travel and tourism (2)
Geography
Survey or statistical program
- Uniform Crime Reporting Survey (10)
- General Social Survey - Victimization (7)
- Labour Force Survey (6)
- Census of Population (5)
- Canadian Health Measures Survey (5)
- Indigenous Peoples Survey (4)
- Integrated Criminal Court Survey (4)
- Homicide Survey (4)
- Consumer Price Index (3)
- Canadian Community Health Survey - Annual Component (3)
- Vital Statistics - Birth Database (3)
- Vital Statistics - Death Database (3)
- Canadian Survey on Disability (3)
- Adult Correctional Services (3)
- Corrections Key Indicator Report for Adults and Youth (3)
- Youth Custody and Community Services (3)
- Census of Agriculture (3)
- Job Vacancy and Wage Survey (3)
- Hospital Morbidity Database (2)
- Police Administration Survey (2)
- National Household Survey (2)
- Canadian Income Survey (2)
- National Balance Sheet Accounts (1)
- National Tourism Indicators (1)
- Canadian International Merchandise Trade (Customs Basis) (1)
- Annual Retail Trade Survey (1)
- Employment Insurance Statistics - Monthly (1)
- Survey of Employment, Payrolls and Hours (1)
- National Apprenticeship Survey (1)
- Vital Statistics - Stillbirth Database (1)
- Survey of Residential Facilities for Victims of Abuse (1)
- Field Crop Reporting Series (1)
- Food Availability (per person) (1)
- Annual Income Estimates for Census Families and Individuals (T1 Family File) (1)
- General Social Survey - Giving, Volunteering and Participating (1)
- General Social Survey - Family (1)
- General Social Survey - Time Use (1)
- Canadian Community Health Survey - Mental Health (1)
- Postsecondary Student Information System (1)
- Programme for International Student Assessment (1)
- Bioproducts Production and Development Survey (1)
- Aboriginal Children's Survey (1)
- Canadian System of Environmental and Resource Accounts - Natural Resource Asset Accounts (1)
- Projections of the Indigenous populations and households in Canada (1)
- Longitudinal and International Study of Adults (1)
- Survey of Young Canadians (1)
- Childhood National Immunization Coverage Survey (1)
- Canadian System of Environmental-Economic Accounting - Ecosystem Accounting (1)
- Bank of Canada (1)
Results
All (149)
All (149) (0 to 10 of 149 results)
- Articles and reports: 18-001-X2017001Description:
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 2015, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.
Release date: 2017-12-22 - 2. Social media as a data source for official statistics; the Dutch Consumer Confidence Index ArchivedArticles and reports: 12-001-X201700254871Description:
In this paper the question is addressed how alternative data sources, such as administrative and social media data, can be used in the production of official statistics. Since most surveys at national statistical institutes are conducted repeatedly over time, a multivariate structural time series modelling approach is proposed to model the series observed by a repeated surveys with related series obtained from such alternative data sources. Generally, this improves the precision of the direct survey estimates by using sample information observed in preceding periods and information from related auxiliary series. This model also makes it possible to utilize the higher frequency of the social media to produce more precise estimates for the sample survey in real time at the moment that statistics for the social media become available but the sample data are not yet available. The concept of cointegration is applied to address the question to which extent the alternative series represent the same phenomena as the series observed with the repeated survey. The methodology is applied to the Dutch Consumer Confidence Survey and a sentiment index derived from social media.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254872Description:
This note discusses the theoretical foundations for the extension of the Wilson two-sided coverage interval to an estimated proportion computed from complex survey data. The interval is shown to be asymptotically equivalent to an interval derived from a logistic transformation. A mildly better version is discussed, but users may prefer constructing a one-sided interval already in the literature.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254887Description:
This paper proposes a new approach to decompose the wage difference between men and women that is based on a calibration procedure. This approach generalizes two current decomposition methods that are re-expressed using survey weights. The first one is the Blinder-Oaxaca method and the second one is a reweighting method proposed by DiNardo, Fortin and Lemieux. The new approach provides a weighting system that enables us to estimate such parameters of interest like quantiles. An application to data from the Swiss Structure of Earnings Survey shows the interest of this method.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254888Description:
We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 1934 landmark paper laid the theoretical foundations for the probability sampling approach to inference from survey samples. Classical sampling books by Cochran, Deming, Hansen, Hurwitz and Madow, Sukhatme, and Yates, which appeared in the early 1950s, expanded and elaborated the theory of probability sampling, emphasizing unbiasedness, model free features, and designs that minimize variance for a fixed cost. During the period 1960-1970, theoretical foundations of inference from survey data received attention, with the model-dependent approach generating considerable discussion. Introduction of general purpose statistical software led to the use of such software with survey data, which led to the design of methods specifically for complex survey data. At the same time, weighting methods, such as regression estimation and calibration, became practical and design consistency replaced unbiasedness as the requirement for standard estimators. A bit later, computer-intensive resampling methods also became practical for large scale survey samples. Improved computer power led to more sophisticated imputation for missing data, use of more auxiliary data, some treatment of measurement errors in estimation, and more complex estimation procedures. A notable use of models was in the expanded use of small area estimation. Future directions in research and methods will be influenced by budgets, response rates, timeliness, improved data collection devices, and availability of auxiliary data, some of which will come from “Big Data”. Survey taking will be impacted by changing cultural behavior and by a changing physical-technical environment.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254894Description:
This note by Danny Pfeffermann presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254895Description:
This note by Graham Kalton presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254896Description:
This note by Sharon L. Lohr presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254897Description:
This note by Chris Skinner presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21 - Articles and reports: 82-003-X201701254891Description:
The objective of this analysis is to determine if Métis are more likely than non-Aboriginal people to be hospitalized for ambulatory care sensitive conditions and whether differences persist after adjustment for socioeconomic and geographic factors.
Release date: 2017-12-20
- 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
- ...
- 15 Go to page 15 of All results
- Next Go to next page of All results
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (149)
Analysis (149) (0 to 10 of 149 results)
- Articles and reports: 18-001-X2017001Description:
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 2015, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.
Release date: 2017-12-22 - 2. Social media as a data source for official statistics; the Dutch Consumer Confidence Index ArchivedArticles and reports: 12-001-X201700254871Description:
In this paper the question is addressed how alternative data sources, such as administrative and social media data, can be used in the production of official statistics. Since most surveys at national statistical institutes are conducted repeatedly over time, a multivariate structural time series modelling approach is proposed to model the series observed by a repeated surveys with related series obtained from such alternative data sources. Generally, this improves the precision of the direct survey estimates by using sample information observed in preceding periods and information from related auxiliary series. This model also makes it possible to utilize the higher frequency of the social media to produce more precise estimates for the sample survey in real time at the moment that statistics for the social media become available but the sample data are not yet available. The concept of cointegration is applied to address the question to which extent the alternative series represent the same phenomena as the series observed with the repeated survey. The methodology is applied to the Dutch Consumer Confidence Survey and a sentiment index derived from social media.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254872Description:
This note discusses the theoretical foundations for the extension of the Wilson two-sided coverage interval to an estimated proportion computed from complex survey data. The interval is shown to be asymptotically equivalent to an interval derived from a logistic transformation. A mildly better version is discussed, but users may prefer constructing a one-sided interval already in the literature.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254887Description:
This paper proposes a new approach to decompose the wage difference between men and women that is based on a calibration procedure. This approach generalizes two current decomposition methods that are re-expressed using survey weights. The first one is the Blinder-Oaxaca method and the second one is a reweighting method proposed by DiNardo, Fortin and Lemieux. The new approach provides a weighting system that enables us to estimate such parameters of interest like quantiles. An application to data from the Swiss Structure of Earnings Survey shows the interest of this method.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254888Description:
We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 1934 landmark paper laid the theoretical foundations for the probability sampling approach to inference from survey samples. Classical sampling books by Cochran, Deming, Hansen, Hurwitz and Madow, Sukhatme, and Yates, which appeared in the early 1950s, expanded and elaborated the theory of probability sampling, emphasizing unbiasedness, model free features, and designs that minimize variance for a fixed cost. During the period 1960-1970, theoretical foundations of inference from survey data received attention, with the model-dependent approach generating considerable discussion. Introduction of general purpose statistical software led to the use of such software with survey data, which led to the design of methods specifically for complex survey data. At the same time, weighting methods, such as regression estimation and calibration, became practical and design consistency replaced unbiasedness as the requirement for standard estimators. A bit later, computer-intensive resampling methods also became practical for large scale survey samples. Improved computer power led to more sophisticated imputation for missing data, use of more auxiliary data, some treatment of measurement errors in estimation, and more complex estimation procedures. A notable use of models was in the expanded use of small area estimation. Future directions in research and methods will be influenced by budgets, response rates, timeliness, improved data collection devices, and availability of auxiliary data, some of which will come from “Big Data”. Survey taking will be impacted by changing cultural behavior and by a changing physical-technical environment.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254894Description:
This note by Danny Pfeffermann presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254895Description:
This note by Graham Kalton presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254896Description:
This note by Sharon L. Lohr presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21 - Articles and reports: 12-001-X201700254897Description:
This note by Chris Skinner presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.
Release date: 2017-12-21 - Articles and reports: 82-003-X201701254891Description:
The objective of this analysis is to determine if Métis are more likely than non-Aboriginal people to be hospitalized for ambulatory care sensitive conditions and whether differences persist after adjustment for socioeconomic and geographic factors.
Release date: 2017-12-20
- 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
- ...
- 15 Go to page 15 of Analysis results
- Next Go to next page of Analysis results
Reference (0)
Reference (0) (0 results)
No content available at this time.
- Date modified: