Analysis

COVID-19 A data perspective

COVID-19: A data perspective: Explore key economic trends and social challenges that arise as the COVID-19 situation evolves.

Sort Help
entries

Results

All (18)

All (18) (0 to 10 of 18 results)

  • Articles and reports: 62F0014M2021017
    Description:

    Decisions by economic agents, such as firms and consumers, depend on their views about inflation. Consumers’ views of inflation, are systematically higher than inflation measured by the Consumer Price Index (CPI), and more so for certain demographic groups. While measurement factors can explain part of this gap, behavioral factors appear to play a larger role. This article examines these factors to explain the gap between CPI’s inflation and inflation perceptions in Canada.

    Release date: 2022-01-19

  • Articles and reports: 36-28-0001202101100003
    Description:

    Since the 1990s, Canadian immigration policy has emphasized human capital, particularly education and language proficiency, in the selection of economic immigrants. While immigration and the domestic educational system continuously increase the supply of a university-educated labour force, there has been concern that skilled trades are an often-overlooked career option for many secondary school graduates, and that this may lead to labour shortages in skilled trades. This article examines trends in the number of economic immigrant principal applicants who intended to work in skilled trades, their sociodemographic characteristics, and their employment and earnings outcomes. Also, comparisons are made with other economic immigrant principal applicants.

    Release date: 2021-11-24

  • Articles and reports: 13-605-X202100100003
    Description:

    COVID-19's impact on the economy was far reaching. Canadian businesses borrowed money form multiple sources to help guide them through the pandemic. Using data derived from the National Economic Accounts Division, Bank of Canada, and International Accounts and Trade Division this paper examines trends observed in the business debt financing market leading up to and during the COVID-19 pandemic.

    Release date: 2021-07-26

  • Articles and reports: 82-003-X202100200001
    Description:

    This study describes survival, improvement in survival over time and conditional survival for paediatric cancer patients in Canada.

    Release date: 2021-02-17

  • Articles and reports: 62F0014M2020017
    Description:

    This article presents the data sources and methodology for Lending Services Price Index (LSPI), to accompany the first release of this price index. The LSPI measures the monthly price change for existing lending services in Canada and its primary purpose is to provide supplemental information to help inform the deflation of the Banking industry's output.

    Release date: 2020-10-15

  • Articles and reports: 62F0014M2020010
    Description:

    Using various sources of expenditure data, Statistics Canada, in partnership with the Bank of Canada, has estimated Consumer Price Index (CPI) basket expenditures that reflect shifts in consumption patterns during the COVID-19 pandemic. The data cover the majority of CPI goods and services, and provide a snapshot estimate of expenditure weights for March, April and May, 2020. These estimates, updated to reflect recent expenditures during the pandemic and concurrent period of physical distancing, can provide insight into the impact of COVID-19 on the headline CPI.

    Release date: 2020-07-13

  • Articles and reports: 62F0014M2019005
    Description:

    This document describes the updated methodology for Investment Banking Services Price Index (IBSPI).

    Release date: 2019-07-08

  • Articles and reports: 62F0014M2017002
    Description:

    This document offers information on changes to the Mortgage Interest Cost Index (MICI), which is one of the Consumer Price Index (CPI) components. It describes the new approach for estimating MICI price movements.

    Release date: 2017-11-17

  • Articles and reports: 12-001-X201300211871
    Description:

    Regression models are routinely used in the analysis of survey data, where one common issue of interest is to identify influential factors that are associated with certain behavioral, social, or economic indices within a target population. When data are collected through complex surveys, the properties of classical variable selection approaches developed in i.i.d. non-survey settings need to be re-examined. In this paper, we derive a pseudo-likelihood-based BIC criterion for variable selection in the analysis of survey data and suggest a sample-based penalized likelihood approach for its implementation. The sampling weights are appropriately assigned to correct the biased selection result caused by the distortion between the sample and the target population. Under a joint randomization framework, we establish the consistency of the proposed selection procedure. The finite-sample performance of the approach is assessed through analysis and computer simulations based on data from the hypertension component of the 2009 Survey on Living with Chronic Diseases in Canada.

    Release date: 2014-01-15

  • Stats in brief: 99-014-X201100311861
    Description:

    These two short articles provide complementary analysis to the 2011 National Household Survey (NHS) analytical document on the composition of income in Canada. They focus on specific topics of interest. The first NHS in Brief is entitled Education and occupations of high-income Canadians, and the second, Persons living in low-income neighbourhoods.

    Release date: 2013-09-11
Stats in brief (1)

Stats in brief (1) ((1 result))

  • Stats in brief: 99-014-X201100311861
    Description:

    These two short articles provide complementary analysis to the 2011 National Household Survey (NHS) analytical document on the composition of income in Canada. They focus on specific topics of interest. The first NHS in Brief is entitled Education and occupations of high-income Canadians, and the second, Persons living in low-income neighbourhoods.

    Release date: 2013-09-11
Articles and reports (17)

Articles and reports (17) (0 to 10 of 17 results)

  • Articles and reports: 62F0014M2021017
    Description:

    Decisions by economic agents, such as firms and consumers, depend on their views about inflation. Consumers’ views of inflation, are systematically higher than inflation measured by the Consumer Price Index (CPI), and more so for certain demographic groups. While measurement factors can explain part of this gap, behavioral factors appear to play a larger role. This article examines these factors to explain the gap between CPI’s inflation and inflation perceptions in Canada.

    Release date: 2022-01-19

  • Articles and reports: 36-28-0001202101100003
    Description:

    Since the 1990s, Canadian immigration policy has emphasized human capital, particularly education and language proficiency, in the selection of economic immigrants. While immigration and the domestic educational system continuously increase the supply of a university-educated labour force, there has been concern that skilled trades are an often-overlooked career option for many secondary school graduates, and that this may lead to labour shortages in skilled trades. This article examines trends in the number of economic immigrant principal applicants who intended to work in skilled trades, their sociodemographic characteristics, and their employment and earnings outcomes. Also, comparisons are made with other economic immigrant principal applicants.

    Release date: 2021-11-24

  • Articles and reports: 13-605-X202100100003
    Description:

    COVID-19's impact on the economy was far reaching. Canadian businesses borrowed money form multiple sources to help guide them through the pandemic. Using data derived from the National Economic Accounts Division, Bank of Canada, and International Accounts and Trade Division this paper examines trends observed in the business debt financing market leading up to and during the COVID-19 pandemic.

    Release date: 2021-07-26

  • Articles and reports: 82-003-X202100200001
    Description:

    This study describes survival, improvement in survival over time and conditional survival for paediatric cancer patients in Canada.

    Release date: 2021-02-17

  • Articles and reports: 62F0014M2020017
    Description:

    This article presents the data sources and methodology for Lending Services Price Index (LSPI), to accompany the first release of this price index. The LSPI measures the monthly price change for existing lending services in Canada and its primary purpose is to provide supplemental information to help inform the deflation of the Banking industry's output.

    Release date: 2020-10-15

  • Articles and reports: 62F0014M2020010
    Description:

    Using various sources of expenditure data, Statistics Canada, in partnership with the Bank of Canada, has estimated Consumer Price Index (CPI) basket expenditures that reflect shifts in consumption patterns during the COVID-19 pandemic. The data cover the majority of CPI goods and services, and provide a snapshot estimate of expenditure weights for March, April and May, 2020. These estimates, updated to reflect recent expenditures during the pandemic and concurrent period of physical distancing, can provide insight into the impact of COVID-19 on the headline CPI.

    Release date: 2020-07-13

  • Articles and reports: 62F0014M2019005
    Description:

    This document describes the updated methodology for Investment Banking Services Price Index (IBSPI).

    Release date: 2019-07-08

  • Articles and reports: 62F0014M2017002
    Description:

    This document offers information on changes to the Mortgage Interest Cost Index (MICI), which is one of the Consumer Price Index (CPI) components. It describes the new approach for estimating MICI price movements.

    Release date: 2017-11-17

  • Articles and reports: 12-001-X201300211871
    Description:

    Regression models are routinely used in the analysis of survey data, where one common issue of interest is to identify influential factors that are associated with certain behavioral, social, or economic indices within a target population. When data are collected through complex surveys, the properties of classical variable selection approaches developed in i.i.d. non-survey settings need to be re-examined. In this paper, we derive a pseudo-likelihood-based BIC criterion for variable selection in the analysis of survey data and suggest a sample-based penalized likelihood approach for its implementation. The sampling weights are appropriately assigned to correct the biased selection result caused by the distortion between the sample and the target population. Under a joint randomization framework, we establish the consistency of the proposed selection procedure. The finite-sample performance of the approach is assessed through analysis and computer simulations based on data from the hypertension component of the 2009 Survey on Living with Chronic Diseases in Canada.

    Release date: 2014-01-15

  • Articles and reports: 12-001-X201200211753
    Description:

    Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.

    Release date: 2012-12-19
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

No content available at this time.

Date modified: