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- 1. Small area estimation of the number of firms' recruits by using multivariate models for count data ArchivedArticles and reports: 12-001-X201000211379Description:
The number of people recruited by firms in Local Labour Market Areas provides an important indicator of the reorganisation of the local productive processes. In Italy, this parameter can be estimated using the information collected in the Excelsior survey, although it does not provide reliable estimates for the domains of interest. In this paper we propose a multivariate small area estimation approach for count data based on the Multivariate Poisson-Log Normal distribution. This approach will be used to estimate the number of firm recruits both replacing departing employees and filling new positions. In the small area estimation framework, it is customary to assume that sampling variances and covariances are known. However, both they and the direct point estimates suffer from instability. Due to the rare nature of the phenomenon we are analysing, counts in some domains are equal to zero, and this produces estimates of sampling error covariances equal to zero. To account for the extra variability due to the estimated sampling covariance matrix, and to deal with the problem of unreasonable estimated variances and covariances in some domains, we propose an "integrated" approach where we jointly model the parameters of interest and the sampling error covariance matrices. We suggest a solution based again on the Poisson-Log Normal distribution to smooth variances and covariances. The results we obtain are encouraging: the proposed small area estimation model shows a better fit when compared to the Multivariate Normal-Normal (MNN) small area model, and it allows for a non-negligible increase in efficiency.
Release date: 2010-12-21 - Articles and reports: 12-001-X201000211385Description:
In this short note, we show that simple random sampling without replacement and Bernoulli sampling have approximately the same entropy when the population size is large. An empirical example is given as an illustration.
Release date: 2010-12-21 - 3. Validation of cognitive functioning categories in the Canadian Community Health Survey -Healthy Aging ArchivedArticles and reports: 82-003-X201000411391Geography: CanadaDescription:
This analysis uses data from the Cognition Module of the 2009 Canadian Community Health Survey - Healthy Aging to validate a categorization of levels of cognitive functioning in the household population aged 45 or older.
Release date: 2010-12-15 - Articles and reports: 12-001-X201000111246Description:
Many surveys employ weight adjustment procedures to reduce nonresponse bias. These adjustments make use of available auxiliary data. This paper addresses the issue of jackknife variance estimation for estimators that have been adjusted for nonresponse. Using the reverse approach for variance estimation proposed by Fay (1991) and Shao and Steel (1999), we study the effect of not re-calculating the nonresponse weight adjustment within each jackknife replicate. We show that the resulting 'shortcut' jackknife variance estimator tends to overestimate the true variance of point estimators in the case of several weight adjustment procedures used in practice. These theoretical results are confirmed through a simulation study where we compare the shortcut jackknife variance estimator with the full jackknife variance estimator obtained by re-calculating the nonresponse weight adjustment within each jackknife replicate.
Release date: 2010-06-29 - 5. Evaluating the hyperactivity/inattention subscale of the National Longitudinal Survey of Children and Youth ArchivedArticles and reports: 82-003-X201000211234Geography: CanadaDescription:
This article evaluates the parent-reported Hyperactivity/Inattention Subscale of the National Longitudinal Survey of Children and Youth with data from cycle 1 (1994/1995) of the survey.
Release date: 2010-06-16 - 6. Quality control and data reduction procedures for accelerometry-derived measures of physical activity ArchivedArticles and reports: 82-003-X201000111066Geography: CanadaDescription:
This article considers critical quality control and data reduction procedures that should be addressed before physical activity information is derived from accelerometry data.
Release date: 2010-01-13
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Articles and reports (6)
Articles and reports (6) ((6 results))
- 1. Small area estimation of the number of firms' recruits by using multivariate models for count data ArchivedArticles and reports: 12-001-X201000211379Description:
The number of people recruited by firms in Local Labour Market Areas provides an important indicator of the reorganisation of the local productive processes. In Italy, this parameter can be estimated using the information collected in the Excelsior survey, although it does not provide reliable estimates for the domains of interest. In this paper we propose a multivariate small area estimation approach for count data based on the Multivariate Poisson-Log Normal distribution. This approach will be used to estimate the number of firm recruits both replacing departing employees and filling new positions. In the small area estimation framework, it is customary to assume that sampling variances and covariances are known. However, both they and the direct point estimates suffer from instability. Due to the rare nature of the phenomenon we are analysing, counts in some domains are equal to zero, and this produces estimates of sampling error covariances equal to zero. To account for the extra variability due to the estimated sampling covariance matrix, and to deal with the problem of unreasonable estimated variances and covariances in some domains, we propose an "integrated" approach where we jointly model the parameters of interest and the sampling error covariance matrices. We suggest a solution based again on the Poisson-Log Normal distribution to smooth variances and covariances. The results we obtain are encouraging: the proposed small area estimation model shows a better fit when compared to the Multivariate Normal-Normal (MNN) small area model, and it allows for a non-negligible increase in efficiency.
Release date: 2010-12-21 - Articles and reports: 12-001-X201000211385Description:
In this short note, we show that simple random sampling without replacement and Bernoulli sampling have approximately the same entropy when the population size is large. An empirical example is given as an illustration.
Release date: 2010-12-21 - 3. Validation of cognitive functioning categories in the Canadian Community Health Survey -Healthy Aging ArchivedArticles and reports: 82-003-X201000411391Geography: CanadaDescription:
This analysis uses data from the Cognition Module of the 2009 Canadian Community Health Survey - Healthy Aging to validate a categorization of levels of cognitive functioning in the household population aged 45 or older.
Release date: 2010-12-15 - Articles and reports: 12-001-X201000111246Description:
Many surveys employ weight adjustment procedures to reduce nonresponse bias. These adjustments make use of available auxiliary data. This paper addresses the issue of jackknife variance estimation for estimators that have been adjusted for nonresponse. Using the reverse approach for variance estimation proposed by Fay (1991) and Shao and Steel (1999), we study the effect of not re-calculating the nonresponse weight adjustment within each jackknife replicate. We show that the resulting 'shortcut' jackknife variance estimator tends to overestimate the true variance of point estimators in the case of several weight adjustment procedures used in practice. These theoretical results are confirmed through a simulation study where we compare the shortcut jackknife variance estimator with the full jackknife variance estimator obtained by re-calculating the nonresponse weight adjustment within each jackknife replicate.
Release date: 2010-06-29 - 5. Evaluating the hyperactivity/inattention subscale of the National Longitudinal Survey of Children and Youth ArchivedArticles and reports: 82-003-X201000211234Geography: CanadaDescription:
This article evaluates the parent-reported Hyperactivity/Inattention Subscale of the National Longitudinal Survey of Children and Youth with data from cycle 1 (1994/1995) of the survey.
Release date: 2010-06-16 - 6. Quality control and data reduction procedures for accelerometry-derived measures of physical activity ArchivedArticles and reports: 82-003-X201000111066Geography: CanadaDescription:
This article considers critical quality control and data reduction procedures that should be addressed before physical activity information is derived from accelerometry data.
Release date: 2010-01-13
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