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- 1. Dealing with small sample sizes, rotation group bias and discontinuities in a rotating panel design ArchivedArticles and reports: 12-001-X201500214231Description:
Rotating panels are widely applied by national statistical institutes, for example, to produce official statistics about the labour force. Estimation procedures are generally based on traditional design-based procedures known from classical sampling theory. A major drawback of this class of estimators is that small sample sizes result in large standard errors and that they are not robust for measurement bias. Two examples showing the effects of measurement bias are rotation group bias in rotating panels, and systematic differences in the outcome of a survey due to a major redesign of the underlying process. In this paper we apply a multivariate structural time series model to the Dutch Labour Force Survey to produce model-based figures about the monthly labour force. The model reduces the standard errors of the estimates by taking advantage of sample information collected in previous periods, accounts for rotation group bias and autocorrelation induced by the rotating panel, and models discontinuities due to a survey redesign. Additionally, we discuss the use of correlated auxiliary series in the model to further improve the accuracy of the model estimates. The method is applied by Statistics Netherlands to produce accurate official monthly statistics about the labour force that are consistent over time, despite a redesign of the survey process.
Release date: 2015-12-17 - Articles and reports: 75-005-M2015002Description:
This report provides information to users who wish to compare employment and unemployment estimates from the Canadian surveys (LFS and SEPH) and American surveys (CPS and CES). The aspects covered include concepts, methods, seasonal adjustment, timeliness, revisions and main uses.
Release date: 2015-10-09 - Surveys and statistical programs – Documentation: 16-507-XDescription:
These educational resources provide instructors with innovative materials, lesson plans and case study assignments based on environmental statistics produced by Statistics Canada. Resources have been developed for educators at the elementary, high school and post-secondary levels.
Curriculum links include grades 1 to 12 geography, social studies, biology, mathematics, science and economics, as well as introductory post-secondary geography and environmental science.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2015001Description:
These educational resources provide instructors with innovative material, lesson plans, handouts and assignments to accompany the 2011 Households and the Environment report (catalogue no. 11-526-X). The materials and activities were developed for Statistics Canada by Enable Education.
Resources were developed for an elementary school audience. Curriculum links include grades 1 to 3 mathematics, social studies, science and technology, as well as arts, language arts, and health and safety.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2015002Description:
These educational resources provide instructors with innovative material, lesson plans, handouts and assignments to accompany the 2011 Households and the Environment report (catalogue no. 11-526-X). The materials and activities were developed for Statistics Canada by Enable Education.
Resources were developed for a secondary school audience. Curriculum links include grades 9 to 12 science, business, environmental science, mathematics, with cross-curricular links to family studies, language arts, technology education and visual arts.
Release date: 2015-09-17 - Articles and reports: 12-001-X201500114151Description:
One of the main variables in the Dutch Labour Force Survey is the variable measuring whether a respondent has a permanent or a temporary job. The aim of our study is to determine the measurement error in this variable by matching the information obtained by the longitudinal part of this survey with unique register data from the Dutch Institute for Employee Insurance. Contrary to previous approaches confronting such datasets, we take into account that also register data are not error-free and that measurement error in these data is likely to be correlated over time. More specifically, we propose the estimation of the measurement error in these two sources using an extended hidden Markov model with two observed indicators for the type of contract. Our results indicate that none of the two sources should be considered as error-free. For both indicators, we find that workers in temporary contracts are often misclassified as having a permanent contract. Particularly for the register data, we find that measurement errors are strongly autocorrelated, as, if made, they tend to repeat themselves. In contrast, when the register is correct, the probability of an error at the next time period is almost zero. Finally, we find that temporary contracts are more widespread than the Labour Force Survey suggests, while transition rates between temporary to permanent contracts are much less common than both datasets suggest.
Release date: 2015-06-29
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- 1. Dealing with small sample sizes, rotation group bias and discontinuities in a rotating panel design ArchivedArticles and reports: 12-001-X201500214231Description:
Rotating panels are widely applied by national statistical institutes, for example, to produce official statistics about the labour force. Estimation procedures are generally based on traditional design-based procedures known from classical sampling theory. A major drawback of this class of estimators is that small sample sizes result in large standard errors and that they are not robust for measurement bias. Two examples showing the effects of measurement bias are rotation group bias in rotating panels, and systematic differences in the outcome of a survey due to a major redesign of the underlying process. In this paper we apply a multivariate structural time series model to the Dutch Labour Force Survey to produce model-based figures about the monthly labour force. The model reduces the standard errors of the estimates by taking advantage of sample information collected in previous periods, accounts for rotation group bias and autocorrelation induced by the rotating panel, and models discontinuities due to a survey redesign. Additionally, we discuss the use of correlated auxiliary series in the model to further improve the accuracy of the model estimates. The method is applied by Statistics Netherlands to produce accurate official monthly statistics about the labour force that are consistent over time, despite a redesign of the survey process.
Release date: 2015-12-17 - Articles and reports: 75-005-M2015002Description:
This report provides information to users who wish to compare employment and unemployment estimates from the Canadian surveys (LFS and SEPH) and American surveys (CPS and CES). The aspects covered include concepts, methods, seasonal adjustment, timeliness, revisions and main uses.
Release date: 2015-10-09 - Articles and reports: 12-001-X201500114151Description:
One of the main variables in the Dutch Labour Force Survey is the variable measuring whether a respondent has a permanent or a temporary job. The aim of our study is to determine the measurement error in this variable by matching the information obtained by the longitudinal part of this survey with unique register data from the Dutch Institute for Employee Insurance. Contrary to previous approaches confronting such datasets, we take into account that also register data are not error-free and that measurement error in these data is likely to be correlated over time. More specifically, we propose the estimation of the measurement error in these two sources using an extended hidden Markov model with two observed indicators for the type of contract. Our results indicate that none of the two sources should be considered as error-free. For both indicators, we find that workers in temporary contracts are often misclassified as having a permanent contract. Particularly for the register data, we find that measurement errors are strongly autocorrelated, as, if made, they tend to repeat themselves. In contrast, when the register is correct, the probability of an error at the next time period is almost zero. Finally, we find that temporary contracts are more widespread than the Labour Force Survey suggests, while transition rates between temporary to permanent contracts are much less common than both datasets suggest.
Release date: 2015-06-29
Reference (3)
Reference (3) ((3 results))
- Surveys and statistical programs – Documentation: 16-507-XDescription:
These educational resources provide instructors with innovative materials, lesson plans and case study assignments based on environmental statistics produced by Statistics Canada. Resources have been developed for educators at the elementary, high school and post-secondary levels.
Curriculum links include grades 1 to 12 geography, social studies, biology, mathematics, science and economics, as well as introductory post-secondary geography and environmental science.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2015001Description:
These educational resources provide instructors with innovative material, lesson plans, handouts and assignments to accompany the 2011 Households and the Environment report (catalogue no. 11-526-X). The materials and activities were developed for Statistics Canada by Enable Education.
Resources were developed for an elementary school audience. Curriculum links include grades 1 to 3 mathematics, social studies, science and technology, as well as arts, language arts, and health and safety.
Release date: 2015-09-17 - Surveys and statistical programs – Documentation: 16-507-X2015002Description:
These educational resources provide instructors with innovative material, lesson plans, handouts and assignments to accompany the 2011 Households and the Environment report (catalogue no. 11-526-X). The materials and activities were developed for Statistics Canada by Enable Education.
Resources were developed for a secondary school audience. Curriculum links include grades 9 to 12 science, business, environmental science, mathematics, with cross-curricular links to family studies, language arts, technology education and visual arts.
Release date: 2015-09-17
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