Keyword search
Filter results by
Search HelpKeyword(s)
Type
Year of publication
Survey or statistical program
Results
All (22)
All (22) (10 to 20 of 22 results)
- 11. Small area estimation of average household income based on unit level models for panel data ArchivedArticles and reports: 12-001-X200700210496Description:
The European Community Household Panel (ECHP) is a panel survey covering a wide range of topics regarding economic, social and living conditions. In particular, it makes it possible to calculate disposable equivalized household income, which is a key variable in the study of economic inequity and poverty. To obtain reliable estimates of the average of this variable for regions within countries it is necessary to have recourse to small area estimation methods. In this paper, we focus on empirical best linear predictors of the average equivalized income based on "unit level models" borrowing strength across both areas and times. Using a simulation study based on ECHP data, we compare the suggested estimators with cross-sectional model-based and design-based estimators. In the case of these empirical predictors, we also compare three different MSE estimators. Results show that those estimators connected to models that take units' autocorrelation into account lead to a significant gain in efficiency, even when there are no covariates available whose population mean is known.
Release date: 2008-01-03 - Articles and reports: 11F0019M2006284Geography: CanadaDescription:
The present review provides a description of various Canadian national survey data sets that could be used to examine issues related to child care use. National data sets dealing with patterns of employment, time use, family earnings, social support, and child, adolescent, or adult health measures were included. We conclude that numerous questions remain unanswered in terms of addressing the relationship between patterns of employment, use of child care, family roles and responsibilities, and associations with the health of families. Recommendations are made about information that has not been collected but may prove to be useful in addressing these issues. Moreover, we conclude that existing Canadian national survey data could be used to address several issues related to patterns of care use as well as the impact on children and families.
Release date: 2006-06-19 - 13. Bayesian analysis of nonignorable missing categorical data: An application to bone mineral density and family income ArchivedArticles and reports: 12-001-X20050029048Description:
We consider a problem in which an analysis is needed for categorical data from a single two-way table with partial classification (i.e., both item and unit nonresponses). We assume that this is the only information available. A Bayesian methodology permits modeling different patterns of missingness under ignorability and nonignorability assumptions. We construct a nonignorable nonresponse model which is obtained from the ignorable nonresponse model via a model expansion using a data-dependent prior; the nonignorable nonresponse model robustifies the ignorable nonresponse model. A multinomial-Dirichlet model, adjusted for the nonresponse, is used to estimate the cell probabilities, and a Bayes factor is used to test for association. We illustrate our methodology using data on bone mineral density and family income. A sensitivity analysis is used to assess the effects of the data-dependent prior. The ignorable and nonignorable nonresponse models are compared using a simulation study, and there are subtle differences between these models.
Release date: 2006-02-17 - Surveys and statistical programs – Documentation: 75F0002M2005009Description:
The release of the 2003 data from the Survey of Labour and Income Dynamics (SLID) was accompanied by a historical revision which accomplished three things. First, the survey weights were updated to take into account new population projections based on the 2001 Census of Population, instead of the 1996 Census. Second, a new procedure in the weight adjustments was introduced to take into account an external source of information on the overall distribution of income in the population, namely the T4 file of employer remittances to Canada Revenue Agency. Third, the low income estimates were revised due to new low income cut-offs (LICOs). This paper describes the second of these improvements' the new weighting procedure to reflect the distribution of income in the population with greater accuracy. Part 1 explains in non-technical terms how this new procedure came about and how it works. Part 2 provides some examples of the impacts on the results for previous years.
Release date: 2005-07-22 - Articles and reports: 75F0002M2004012Description:
This study compares income estimates across several statistical programs at Statistics Canada. It examines how similar the estimates produced by different question sets are.
Income data are collected by many household surveys. Some surveys have income as a major part of their content, and therefore collect income at a detailed level; others collect data from a much smaller set of income questions. No standard sets of income questions have been developed.
Release date: 2004-12-23 - Articles and reports: 75F0002M2004010Description:
This document offers a set of guidelines for analysing income distributions. It focuses on the basic intuition of the concepts and techniques instead of the equations and technical details.
Release date: 2004-10-08 - Surveys and statistical programs – Documentation: 62F0026M2004001Description:
This report describes the quality indicators produced for the 2002 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: 2004-09-15 - Articles and reports: 82-003-X20000015300Geography: CanadaDescription:
This article examines the extent of proxy reporting in the Natiional Population Health (NPHS). It also explores associations between proxy reporting status and the prevalence of selected health problems, and investigates the relationship between changes in proxy reporting status and two-year incidence of health problems.
Release date: 2000-10-20 - Articles and reports: 75F0002M1998013Description:
This paper outlines the existing poverty and income measures and summarizes the recent developments of new measures.
Release date: 1998-09-30 - Articles and reports: 75F0002M1996011Description:
This paper looks at the family data from the Survey of Labour and Income Dynamics (SLID). It also provides an explanation of the approach used in the SLID to convey changes in the family as well as examples to indicate how family data can be analysed longitudinally.
Release date: 1997-12-31
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (17)
Analysis (17) (10 to 20 of 17 results)
- 11. Bayesian analysis of nonignorable missing categorical data: An application to bone mineral density and family income ArchivedArticles and reports: 12-001-X20050029048Description:
We consider a problem in which an analysis is needed for categorical data from a single two-way table with partial classification (i.e., both item and unit nonresponses). We assume that this is the only information available. A Bayesian methodology permits modeling different patterns of missingness under ignorability and nonignorability assumptions. We construct a nonignorable nonresponse model which is obtained from the ignorable nonresponse model via a model expansion using a data-dependent prior; the nonignorable nonresponse model robustifies the ignorable nonresponse model. A multinomial-Dirichlet model, adjusted for the nonresponse, is used to estimate the cell probabilities, and a Bayes factor is used to test for association. We illustrate our methodology using data on bone mineral density and family income. A sensitivity analysis is used to assess the effects of the data-dependent prior. The ignorable and nonignorable nonresponse models are compared using a simulation study, and there are subtle differences between these models.
Release date: 2006-02-17 - Articles and reports: 75F0002M2004012Description:
This study compares income estimates across several statistical programs at Statistics Canada. It examines how similar the estimates produced by different question sets are.
Income data are collected by many household surveys. Some surveys have income as a major part of their content, and therefore collect income at a detailed level; others collect data from a much smaller set of income questions. No standard sets of income questions have been developed.
Release date: 2004-12-23 - Articles and reports: 75F0002M2004010Description:
This document offers a set of guidelines for analysing income distributions. It focuses on the basic intuition of the concepts and techniques instead of the equations and technical details.
Release date: 2004-10-08 - Articles and reports: 82-003-X20000015300Geography: CanadaDescription:
This article examines the extent of proxy reporting in the Natiional Population Health (NPHS). It also explores associations between proxy reporting status and the prevalence of selected health problems, and investigates the relationship between changes in proxy reporting status and two-year incidence of health problems.
Release date: 2000-10-20 - Articles and reports: 75F0002M1998013Description:
This paper outlines the existing poverty and income measures and summarizes the recent developments of new measures.
Release date: 1998-09-30 - Articles and reports: 75F0002M1996011Description:
This paper looks at the family data from the Survey of Labour and Income Dynamics (SLID). It also provides an explanation of the approach used in the SLID to convey changes in the family as well as examples to indicate how family data can be analysed longitudinally.
Release date: 1997-12-31 - Articles and reports: 75F0002M1996012Description:
This paper gives an overview of the different sources of errors that occur with this methodology and presents some results on the impact of this mixed approach. The research has focused on micro-comparisons and has attempted to quantify the impact on measures of change.
Release date: 1997-12-31
Reference (5)
Reference (5) ((5 results))
- Notices and consultations: 75-513-X2014001Description:
Starting with the 2012 reference year, annual individual and family income data is produced by the Canadian Income Survey (CIS). The CIS is a cross-sectional survey developed to provide information on the income and income sources of Canadians, along with their individual and household characteristics. The CIS reports on many of the same statistics as the Survey of Labour and Income Dynamics (SLID), which last reported on income for the 2011 reference year. This note describes the CIS methodology, as well as the main differences in survey objectives, methodology and questionnaires between CIS and SLID.
Release date: 2014-12-10 - Surveys and statistical programs – Documentation: 13-605-X201200511748Description:
This note provides users with a reconciliation between Canadian and American measures of household disposable income, debt and the household credit market debt to disposable income ratio.
Release date: 2012-12-03 - Surveys and statistical programs – Documentation: 75F0002M2005009Description:
The release of the 2003 data from the Survey of Labour and Income Dynamics (SLID) was accompanied by a historical revision which accomplished three things. First, the survey weights were updated to take into account new population projections based on the 2001 Census of Population, instead of the 1996 Census. Second, a new procedure in the weight adjustments was introduced to take into account an external source of information on the overall distribution of income in the population, namely the T4 file of employer remittances to Canada Revenue Agency. Third, the low income estimates were revised due to new low income cut-offs (LICOs). This paper describes the second of these improvements' the new weighting procedure to reflect the distribution of income in the population with greater accuracy. Part 1 explains in non-technical terms how this new procedure came about and how it works. Part 2 provides some examples of the impacts on the results for previous years.
Release date: 2005-07-22 - Surveys and statistical programs – Documentation: 62F0026M2004001Description:
This report describes the quality indicators produced for the 2002 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: 2004-09-15 - 5. SLID Test 3B Results: Impact of Notebook ArchivedSurveys and statistical programs – Documentation: 75F0002M1993016Description:
The paper examines the results of an initial evaluation of the effectiveness of the lighter, non-bureaucratic approach to questionnaire design called the SLID (Survey of Labour and Income Dynamics ) Notebook
Release date: 1995-12-30
- Date modified: