Keyword search
Filter results by
Search HelpKeyword(s)
Subject
Type
Survey or statistical program
Results
All (3)
All (3) ((3 results))
- Surveys and statistical programs – Documentation: 11-522-X20010016225Description:
The European Union Labour Forces Survey (LFS) is based on national surveys that were originally very different. For the past decade, under pressure from increasingly demanding users (particularly with respect to timeliness, comparability and flexibility), the LFS has been subjected to a constant process of quality improvement.
The following topics are presented in this paper:A. the quality improvement process, which comprises screening national survey methods, target structure, legal foundations, quality reports, more accurate and more explicit definitions of components, etc.;B. expected or achieved results, which include an ongoing survey producing quarterly results within reasonable time frames, comparable employment and unemployment rates over time and space in more than 25 countries, specific information on current political topics, etc.;C. continuing shortcomings, such as implementation delays in certain countries, possibilities of longitudinal analysis, public access to microdata, etc.; D. future tasks envisioned, such as adaptation of the list of ISCO and ISCED variables and nomenclatures (to take into account evolution in employment and teaching methods), differential treatment of structural variables and increased recourse to administrative files (to limit respondent burden), harmonization of questionnaires, etc.
Release date: 2002-09-12 - Articles and reports: 12-001-X20020016421Description:
Like most other surveys, non-response often occurs in the Current Employment Survey conducted monthly by the U.S. Bureau of Labor Statistics (BLS). In a given month, imputation using reported data from previous months generally provides more efficient survey estimators than ignoring non-respondents and adjusting survey weights. However, imputation also has an effect on variance estimation: treating imputed values as reported data and applying a standard variance estimation method lead to negatively biased variance estimators. In this article, we propose some variance estimators using the Grouped Balanced Half Sample method and re-imputation to take imputation into account. Some simulation results for the finite sample performance of the imputed survey estimators and their variance estimators are presented.
Release date: 2002-07-05 - Articles and reports: 71-584-M2002003Geography: CanadaDescription:
This paper explores the relationship between employers' computer technology investments and employees' training and education, with emphasis on the education of new hires.
Release date: 2002-07-05
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (2)
Analysis (2) ((2 results))
- Articles and reports: 12-001-X20020016421Description:
Like most other surveys, non-response often occurs in the Current Employment Survey conducted monthly by the U.S. Bureau of Labor Statistics (BLS). In a given month, imputation using reported data from previous months generally provides more efficient survey estimators than ignoring non-respondents and adjusting survey weights. However, imputation also has an effect on variance estimation: treating imputed values as reported data and applying a standard variance estimation method lead to negatively biased variance estimators. In this article, we propose some variance estimators using the Grouped Balanced Half Sample method and re-imputation to take imputation into account. Some simulation results for the finite sample performance of the imputed survey estimators and their variance estimators are presented.
Release date: 2002-07-05 - Articles and reports: 71-584-M2002003Geography: CanadaDescription:
This paper explores the relationship between employers' computer technology investments and employees' training and education, with emphasis on the education of new hires.
Release date: 2002-07-05
Reference (1)
Reference (1) ((1 result))
- Surveys and statistical programs – Documentation: 11-522-X20010016225Description:
The European Union Labour Forces Survey (LFS) is based on national surveys that were originally very different. For the past decade, under pressure from increasingly demanding users (particularly with respect to timeliness, comparability and flexibility), the LFS has been subjected to a constant process of quality improvement.
The following topics are presented in this paper:A. the quality improvement process, which comprises screening national survey methods, target structure, legal foundations, quality reports, more accurate and more explicit definitions of components, etc.;B. expected or achieved results, which include an ongoing survey producing quarterly results within reasonable time frames, comparable employment and unemployment rates over time and space in more than 25 countries, specific information on current political topics, etc.;C. continuing shortcomings, such as implementation delays in certain countries, possibilities of longitudinal analysis, public access to microdata, etc.; D. future tasks envisioned, such as adaptation of the list of ISCO and ISCED variables and nomenclatures (to take into account evolution in employment and teaching methods), differential treatment of structural variables and increased recourse to administrative files (to limit respondent burden), harmonization of questionnaires, etc.
Release date: 2002-09-12
- Date modified: