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- Articles and reports: 11-522-X20040018733Description:
A survey on injecting drug users is designed to use the information collected from needle exchange centres and from sampled injecting drug users. A methodology is developed to produce various estimates.
Release date: 2005-10-27 - Articles and reports: 11-522-X20040018738Description:
This paper describes the efforts made during the 2001 UK Census to both maximise and measure the response in the hardest to count sectors of the population. It also discusses the research that will be undertaken for the 2011 UK Census.
Release date: 2005-10-27 - Articles and reports: 11-522-X20040018745Description:
The testing of questionnaires with specialized populations such as Aboriginal people, homosexuals, bisexuals, children, victims of abuse brings challenges: identifying respondents, testing methodology, location of testing, respondent rapport and trust.
Release date: 2005-10-27 - Articles and reports: 75F0002M2005011Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.
Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2005-09-15 - Articles and reports: 75F0002M2005012Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.
Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2005-09-15 - Articles and reports: 12-001-X20050018092Description:
When there is auxiliary information in survey sampling, the design based "optimal (regression) estimator" of a finite population total/mean is known to be (at least asymptotically) more efficient than the corresponding GREG estimator. We will illustrate this by some simulations with stratified sampling from skewed populations. The GREG estimator was originally constructed using an assisting linear superpopulation model. It may also be seen as a calibration estimator; i.e., as a weighted linear estimator, where the weights obey the calibration equation and, with that restriction, are as close as possible to the original "Horvitz-Thompson weights" (according to a suitable distance). We show that the optimal estimator can also be seen as a calibration estimator in this respect, with a quadratic distance measure closely related to the one generating the GREG estimator. Simple examples will also be given, revealing that this new measure is not always easily obtained.
Release date: 2005-07-21 - Articles and reports: 62F0026M2005003Description:
The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.
The FES, like all surveys, is subject to error despite all the precautions taken at the various stages of the survey to control them. Although there is no exhaustive measure of a survey's data quality, certain quality measures taken at various stages of the survey can provide the user with relevant information to ensure sound data interpretation.
This paper presents, for the 2001 FES, the following quality indicators the coefficients of variation, the non-response rates, the vacancy rates, the slippage rates, the imputation rates as well the impacts of imputation on the estimates.
Release date: 2005-07-08 - Articles and reports: 75F0002M2005004Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.
Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2005-05-12 - 9. Robust generalized regression estimation ArchivedArticles and reports: 12-001-X20040027752Description:
The Best Linear Unbiased (BLU) estimator (or predictor) of a population total is based on the following two assumptions: i) the estimation model underlying the BLU estimator is correctly specified and ii) the sampling design is ignorable with respect to the estimation model. In this context, an estimator is robust if it stays close to the BLU estimator when both assumptions hold and if it keeps good properties when one or both assumptions are not fully satisfied. Robustness with respect to deviations from assumption (i) is called model robustness while robustness with respect to deviations from assumption (ii) is called design robustness. The Generalized Regression (GREG) estimator is often viewed as being robust since its property of being Asymptotically Design Unbiased (ADU) is not dependent on assumptions (i) and (ii). However, if both assumptions hold, the GREG estimator may be far less efficient than the BLU estimator and, in that sense, it is not robust. The relative inefficiency of the GREG estimator as compared to the BLU estimator is caused by widely dispersed design weights. To obtain a design-robust estimator, we thus propose a compromise between the GREG and the BLU estimators. This compromise also provides some protection against deviations from assumption (i). However, it does not offer any protection against outliers, which can be viewed as a consequence of a model misspecification. To deal with outliers, we use the weighted generalized M-estimation technique to reduce the influence of units with large weighted population residuals. We propose two practical ways of implementing M-estimators for multipurpose surveys; either the weights of influential units are modified and a calibration approach is used to obtain a single set of robust estimation weights or the values of influential units are modified. Some properties of the proposed approach are evaluated in a simulation study using a skewed finite population created from real survey data.
Release date: 2005-02-03 - Articles and reports: 11-522-X20030017594Description:
This article describes the European Survey on Income and Living Conditions (SILC), which will replace the European Panel beginning in 2004. It also looks at the use of the weight share method in the longitudinal and cross-sectional weightings of the SILC.
Release date: 2005-01-26
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Articles and reports (14)
Articles and reports (14) (0 to 10 of 14 results)
- Articles and reports: 11-522-X20040018733Description:
A survey on injecting drug users is designed to use the information collected from needle exchange centres and from sampled injecting drug users. A methodology is developed to produce various estimates.
Release date: 2005-10-27 - Articles and reports: 11-522-X20040018738Description:
This paper describes the efforts made during the 2001 UK Census to both maximise and measure the response in the hardest to count sectors of the population. It also discusses the research that will be undertaken for the 2011 UK Census.
Release date: 2005-10-27 - Articles and reports: 11-522-X20040018745Description:
The testing of questionnaires with specialized populations such as Aboriginal people, homosexuals, bisexuals, children, victims of abuse brings challenges: identifying respondents, testing methodology, location of testing, respondent rapport and trust.
Release date: 2005-10-27 - Articles and reports: 75F0002M2005011Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.
Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2005-09-15 - Articles and reports: 75F0002M2005012Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.
Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2005-09-15 - Articles and reports: 12-001-X20050018092Description:
When there is auxiliary information in survey sampling, the design based "optimal (regression) estimator" of a finite population total/mean is known to be (at least asymptotically) more efficient than the corresponding GREG estimator. We will illustrate this by some simulations with stratified sampling from skewed populations. The GREG estimator was originally constructed using an assisting linear superpopulation model. It may also be seen as a calibration estimator; i.e., as a weighted linear estimator, where the weights obey the calibration equation and, with that restriction, are as close as possible to the original "Horvitz-Thompson weights" (according to a suitable distance). We show that the optimal estimator can also be seen as a calibration estimator in this respect, with a quadratic distance measure closely related to the one generating the GREG estimator. Simple examples will also be given, revealing that this new measure is not always easily obtained.
Release date: 2005-07-21 - Articles and reports: 62F0026M2005003Description:
The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.
The FES, like all surveys, is subject to error despite all the precautions taken at the various stages of the survey to control them. Although there is no exhaustive measure of a survey's data quality, certain quality measures taken at various stages of the survey can provide the user with relevant information to ensure sound data interpretation.
This paper presents, for the 2001 FES, the following quality indicators the coefficients of variation, the non-response rates, the vacancy rates, the slippage rates, the imputation rates as well the impacts of imputation on the estimates.
Release date: 2005-07-08 - Articles and reports: 75F0002M2005004Description:
The Survey of Labour and Income Dynamics (SLID) is a longitudinal survey initiated in 1993. The survey was designed to measure changes in the economic well-being of Canadians as well as the factors affecting these changes.
Sample surveys are subject to errors. As with all surveys conducted at Statistics Canada, considerable time and effort is taken to control such errors at every stage of the Survey of Labour and Income Dynamics. Nonetheless errors do occur. It is the policy at Statistics Canada to furnish users with measures of data quality so that the user is able to interpret the data properly. This report summarizes a set of quality measures that has been produced in an attempt to describe the overall quality of SLID data. Among the measures included in the report are sample composition and attrition rates, sampling errors, coverage errors in the form of slippage rates, response rates, tax permission and tax linkage rates, and imputation rates.
Release date: 2005-05-12 - 9. Robust generalized regression estimation ArchivedArticles and reports: 12-001-X20040027752Description:
The Best Linear Unbiased (BLU) estimator (or predictor) of a population total is based on the following two assumptions: i) the estimation model underlying the BLU estimator is correctly specified and ii) the sampling design is ignorable with respect to the estimation model. In this context, an estimator is robust if it stays close to the BLU estimator when both assumptions hold and if it keeps good properties when one or both assumptions are not fully satisfied. Robustness with respect to deviations from assumption (i) is called model robustness while robustness with respect to deviations from assumption (ii) is called design robustness. The Generalized Regression (GREG) estimator is often viewed as being robust since its property of being Asymptotically Design Unbiased (ADU) is not dependent on assumptions (i) and (ii). However, if both assumptions hold, the GREG estimator may be far less efficient than the BLU estimator and, in that sense, it is not robust. The relative inefficiency of the GREG estimator as compared to the BLU estimator is caused by widely dispersed design weights. To obtain a design-robust estimator, we thus propose a compromise between the GREG and the BLU estimators. This compromise also provides some protection against deviations from assumption (i). However, it does not offer any protection against outliers, which can be viewed as a consequence of a model misspecification. To deal with outliers, we use the weighted generalized M-estimation technique to reduce the influence of units with large weighted population residuals. We propose two practical ways of implementing M-estimators for multipurpose surveys; either the weights of influential units are modified and a calibration approach is used to obtain a single set of robust estimation weights or the values of influential units are modified. Some properties of the proposed approach are evaluated in a simulation study using a skewed finite population created from real survey data.
Release date: 2005-02-03 - Articles and reports: 11-522-X20030017594Description:
This article describes the European Survey on Income and Living Conditions (SILC), which will replace the European Panel beginning in 2004. It also looks at the use of the weight share method in the longitudinal and cross-sectional weightings of the SILC.
Release date: 2005-01-26
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Journals and periodicals (0) (0 results)
No content available at this time.
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