Keyword search

Skip to main content
Skip to footer

Language selection

Français

Search and menus

Search and menus

Search

Results

All (172)

All (172) (0 to 10 of 172 results)

1. COVID-19 Impact Analysis and 2020 Outlook: The Retail Services Price Index
Articles and reports: 45-28-0001202000100092
Description:
This article contributes to a series studies of COVID-19 impact on Canadian industries, with focus on the Retail Services Price Index (RSPI). The study analyzes the movements of RSPI during 2020 pandemic by subsectors, including clothing stores, grocery stores, and electronic stores, etc. It also compares different responses of retail sectors during 2020 pandemic and during 2008-2009 recession. Based on the in-depth analysis, the article also provides an outlook of the price index trend for the year 2020.
Release date: 2020-12-21
2. Adult and youth correctional statistics in Canada, 2018/2019
Articles and reports: 85-002-X202000100016
Description:
This Juristat article provides a statistical overview of adults and youth admitted to and released from custody and community supervision in Canada in 2018/2019. Analysis is presented at the national as well as the provincial and territorial levels. Average counts and the incarceration rates are presented. Admissions and the characteristics of adults and youth in the correctional system (such as age, sex and Aboriginal identity) are also discussed.

Release date: 2020-12-21
3. Life Satisfaction in Canada Before and During the COVID-19 Pandemic
Articles and reports: 11F0019M2020020
Description:
The COVID-19 pandemic has had unprecedented impacts on many key aspects of life, such as health, social connections, mobility, employment and incomes. Life satisfaction provides the best available umbrella measure of the combined effects of these changes on the well-being of Canadians. Using population-representative samples from the 2018 Canadian Community Health Survey and the June 2020 Canadian Perspectives Survey Series, this study uses these data to compare life satisfaction in Canada before and during the pandemic, drawing comparisons across the population as a whole and among different regions and demographic groups.

Release date: 2020-12-21
4. Guide to the Monthly Credit Aggregates
Articles and reports: 13-605-X202000100004
Description:
In the past, the Bank of Canada (the Bank) and Statistics Canada both produced aggregate measures of borrowing, or credit, for sectors of the Canadian economy. The Statistics Canada measures were on a quarterly basis as part of the National Balance Sheet Accounts (NBSA) whereas the Bank of Canada published monthly statistics. While both estimates are drawn from the same data sources and paint a similar picture of the indebtedness of Canadian households and non-financial businesses, some reconcilable differences existed in the aggregate measures. Starting in December 2020 Statistics Canada will be producing monthly estimates that will be integrated into the larger NBSA framework. This will provide users with a single and consistent set of monthly estimates that align with the internationally recognized national accounting principles detailed in the United Nations System of National Accounts This guide will serve as a review of the historical differences between each organization's credit aggregates, the conceptual and statistical changes that will occur as a result of the integration of monthly estimates within the NBSA, and a detailed overview of the methods that will be employed to estimate the outstanding credit debt of households and non-financial private corporations by lending sector.
Release date: 2020-12-18
5. Experimental estimates of family weekly income for January to September 2020
Articles and reports: 75F0002M2020004
Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.
Release date: 2020-12-18
6. Food insecurity and mental health during the COVID-19 pandemic
Articles and reports: 82-003-X202001200001
Description:
This study assessed the association between household food insecurity and self-perceived mental health status and anxiety symptoms among Canadians in the early months of the COVID-19 pandemic.

Release date: 2020-12-16
7. Trends in the prevalence of depression and anxiety disorders among working-age Canadian adults between 2000 and 2016
Articles and reports: 82-003-X202001200002
Description:
This study quantified prevalence trends of annually reported major depressive episodes, anxiety disorders, and comorbid major depressive episodes and anxiety disorders among working-age Canadians by labour force status between 2000 and 2016.
Release date: 2020-12-16
8. Technical Supplement for the November 2020 Consumer Price Index
Articles and reports: 62F0014M2020021
Description:
A summary of methodological treatments as applied to the November 2020 Consumer Price Index (CPI) in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closure.
Release date: 2020-12-16
9. Probability-proportional-to-size ranked-set sampling from stratified populations
Articles and reports: 12-001-X202000200001
Description:
This paper constructs a probability-proportional-to-size (PPS) ranked-set sample from a stratified population. A PPS-ranked-set sample partitions the units in a PPS sample into groups of similar observations. The construction of similar groups relies on relative positions (ranks) of units in small comparison sets. Hence, the ranks induce more structure (stratification) in the sample in addition to the data structure created by unequal selection probabilities in a PPS sample. This added data structure makes the PPS-ranked-set sample more informative then a PPS-sample. The stratified PPS-ranked-set sample is constructed by selecting a PPS-ranked-set sample from each stratum population. The paper constructs unbiased estimators for the population mean, total and their variances. The new sampling design is applied to apple production data to estimate the total apple production in Turkey.
Release date: 2020-12-15
10. Estimation and inference of domain means subject to qualitative constraints
Articles and reports: 12-001-X202000200002
Description:
In many large-scale surveys, estimates are produced for numerous small domains defined by cross-classifications of demographic, geographic and other variables. Even though the overall sample size of such surveys might be very large, samples sizes for domains are sometimes too small for reliable estimation. We propose an improved estimation approach that is applicable when “natural” or qualitative relationships (such as orderings or other inequality constraints) can be formulated for the domain means at the population level. We stay within a design-based inferential framework but impose constraints representing these relationships on the sample-based estimates. The resulting constrained domain estimator is shown to be design consistent and asymptotically normally distributed as long as the constraints are asymptotically satisfied at the population level. The estimator and its associated variance estimator are readily implemented in practice. The applicability of the method is illustrated on data from the 2015 U.S. National Survey of College Graduates.
Release date: 2020-12-15

Data (0)

Data (0) (0 results)

No content available at this time.

Analysis (172)

Analysis (172) (0 to 10 of 172 results)

1. COVID-19 Impact Analysis and 2020 Outlook: The Retail Services Price Index
Articles and reports: 45-28-0001202000100092
Description:
This article contributes to a series studies of COVID-19 impact on Canadian industries, with focus on the Retail Services Price Index (RSPI). The study analyzes the movements of RSPI during 2020 pandemic by subsectors, including clothing stores, grocery stores, and electronic stores, etc. It also compares different responses of retail sectors during 2020 pandemic and during 2008-2009 recession. Based on the in-depth analysis, the article also provides an outlook of the price index trend for the year 2020.
Release date: 2020-12-21
2. Adult and youth correctional statistics in Canada, 2018/2019
Articles and reports: 85-002-X202000100016
Description:
This Juristat article provides a statistical overview of adults and youth admitted to and released from custody and community supervision in Canada in 2018/2019. Analysis is presented at the national as well as the provincial and territorial levels. Average counts and the incarceration rates are presented. Admissions and the characteristics of adults and youth in the correctional system (such as age, sex and Aboriginal identity) are also discussed.

Release date: 2020-12-21
3. Life Satisfaction in Canada Before and During the COVID-19 Pandemic
Articles and reports: 11F0019M2020020
Description:
The COVID-19 pandemic has had unprecedented impacts on many key aspects of life, such as health, social connections, mobility, employment and incomes. Life satisfaction provides the best available umbrella measure of the combined effects of these changes on the well-being of Canadians. Using population-representative samples from the 2018 Canadian Community Health Survey and the June 2020 Canadian Perspectives Survey Series, this study uses these data to compare life satisfaction in Canada before and during the pandemic, drawing comparisons across the population as a whole and among different regions and demographic groups.

Release date: 2020-12-21
4. Guide to the Monthly Credit Aggregates
Articles and reports: 13-605-X202000100004
Description:
In the past, the Bank of Canada (the Bank) and Statistics Canada both produced aggregate measures of borrowing, or credit, for sectors of the Canadian economy. The Statistics Canada measures were on a quarterly basis as part of the National Balance Sheet Accounts (NBSA) whereas the Bank of Canada published monthly statistics. While both estimates are drawn from the same data sources and paint a similar picture of the indebtedness of Canadian households and non-financial businesses, some reconcilable differences existed in the aggregate measures. Starting in December 2020 Statistics Canada will be producing monthly estimates that will be integrated into the larger NBSA framework. This will provide users with a single and consistent set of monthly estimates that align with the internationally recognized national accounting principles detailed in the United Nations System of National Accounts This guide will serve as a review of the historical differences between each organization's credit aggregates, the conceptual and statistical changes that will occur as a result of the integration of monthly estimates within the NBSA, and a detailed overview of the methods that will be employed to estimate the outstanding credit debt of households and non-financial private corporations by lending sector.
Release date: 2020-12-18
5. Experimental estimates of family weekly income for January to September 2020
Articles and reports: 75F0002M2020004
Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.
Release date: 2020-12-18
6. Food insecurity and mental health during the COVID-19 pandemic
Articles and reports: 82-003-X202001200001
Description:
This study assessed the association between household food insecurity and self-perceived mental health status and anxiety symptoms among Canadians in the early months of the COVID-19 pandemic.

Release date: 2020-12-16
7. Trends in the prevalence of depression and anxiety disorders among working-age Canadian adults between 2000 and 2016
Articles and reports: 82-003-X202001200002
Description:
This study quantified prevalence trends of annually reported major depressive episodes, anxiety disorders, and comorbid major depressive episodes and anxiety disorders among working-age Canadians by labour force status between 2000 and 2016.
Release date: 2020-12-16
8. Technical Supplement for the November 2020 Consumer Price Index
Articles and reports: 62F0014M2020021
Description:
A summary of methodological treatments as applied to the November 2020 Consumer Price Index (CPI) in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closure.
Release date: 2020-12-16
9. Probability-proportional-to-size ranked-set sampling from stratified populations
Articles and reports: 12-001-X202000200001
Description:
This paper constructs a probability-proportional-to-size (PPS) ranked-set sample from a stratified population. A PPS-ranked-set sample partitions the units in a PPS sample into groups of similar observations. The construction of similar groups relies on relative positions (ranks) of units in small comparison sets. Hence, the ranks induce more structure (stratification) in the sample in addition to the data structure created by unequal selection probabilities in a PPS sample. This added data structure makes the PPS-ranked-set sample more informative then a PPS-sample. The stratified PPS-ranked-set sample is constructed by selecting a PPS-ranked-set sample from each stratum population. The paper constructs unbiased estimators for the population mean, total and their variances. The new sampling design is applied to apple production data to estimate the total apple production in Turkey.
Release date: 2020-12-15
10. Estimation and inference of domain means subject to qualitative constraints
Articles and reports: 12-001-X202000200002
Description:
In many large-scale surveys, estimates are produced for numerous small domains defined by cross-classifications of demographic, geographic and other variables. Even though the overall sample size of such surveys might be very large, samples sizes for domains are sometimes too small for reliable estimation. We propose an improved estimation approach that is applicable when “natural” or qualitative relationships (such as orderings or other inequality constraints) can be formulated for the domain means at the population level. We stay within a design-based inferential framework but impose constraints representing these relationships on the sample-based estimates. The resulting constrained domain estimator is shown to be design consistent and asymptotically normally distributed as long as the constraints are asymptotically satisfied at the population level. The estimator and its associated variance estimator are readily implemented in practice. The applicability of the method is illustrated on data from the 2015 U.S. National Survey of College Graduates.
Release date: 2020-12-15

Reference (0)

Reference (0) (0 results)

No content available at this time.

Report a problem or mistake on this page

Date modified:: 2024-04-27