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- Articles and reports: 12-001-X201500214249Description:
The problem of optimal allocation of samples in surveys using a stratified sampling plan was first discussed by Neyman in 1934. Since then, many researchers have studied the problem of the sample allocation in multivariate surveys and several methods have been proposed. Basically, these methods are divided into two classes: The first class comprises methods that seek an allocation which minimizes survey costs while keeping the coefficients of variation of estimators of totals below specified thresholds for all survey variables of interest. The second aims to minimize a weighted average of the relative variances of the estimators of totals given a maximum overall sample size or a maximum cost. This paper proposes a new optimization approach for the sample allocation problem in multivariate surveys. This approach is based on a binary integer programming formulation. Several numerical experiments showed that the proposed approach provides efficient solutions to this problem, which improve upon a ‘textbook algorithm’ and can be more efficient than the algorithm by Bethel (1985, 1989).
Release date: 2015-12-17 - Articles and reports: 11-626-X2015054Description:
This article in the Economic Insights series uses data from the latest cycles of the Survey of Household Spending and the Survey of Financial Security to examine trends in the implicit income derived from owner-occupied housing. Covering the 1969-to-2011 period, the article updates previous estimates of the returns to housing in order to assess the implications of the shifting economic environment of the late 2000s.
Release date: 2015-12-10 - Articles and reports: 82-003-X201501114243Description:
A surveillance tool was developed to assess dietary intake collected by surveys in relation to Eating Well with Canada’s Food Guide (CFG). The tool classifies foods in the Canadian Nutrient File (CNF) according to how closely they reflect CFG. This article describes the validation exercise conducted to ensure that CNF foods determined to be “in line with CFG” were appropriately classified.
Release date: 2015-11-18 - 4. Oral contraceptive use among women aged 15 to 49: Results from the Canadian Health Measures Survey ArchivedArticles and reports: 82-003-X201501014222Description:
Based on results for 2007 to 2011 from the Canadian Health Measures Survey, the present study estimates the prevalence of oral contraceptive (OC) use among non-pregnant reproductive-aged women; profiles OC users by sociodemographic characteristics and cardiovascular risk factors; and identifies the OCs used, by estrogen dose and progestin type.
Release date: 2015-10-21 - Articles and reports: 12-001-X201500114161Description:
A popular area level model used for the estimation of small area means is the Fay-Herriot model. This model involves unobservable random effects for the areas apart from the (fixed) linear regression based on area level covariates. Empirical best linear unbiased predictors of small area means are obtained by estimating the area random effects, and they can be expressed as a weighted average of area-specific direct estimators and regression-synthetic estimators. In some cases the observed data do not support the inclusion of the area random effects in the model. Excluding these area effects leads to the regression-synthetic estimator, that is, a zero weight is attached to the direct estimator. A preliminary test estimator of a small area mean obtained after testing for the presence of area random effects is studied. On the other hand, empirical best linear unbiased predictors of small area means that always give non-zero weights to the direct estimators in all areas together with alternative estimators based on the preliminary test are also studied. The preliminary testing procedure is also used to define new mean squared error estimators of the point estimators of small area means. Results of a limited simulation study show that, for small number of areas, the preliminary testing procedure leads to mean squared error estimators with considerably smaller average absolute relative bias than the usual mean squared error estimators, especially when the variance of the area effects is small relative to the sampling variances.
Release date: 2015-06-29 - 6. Legal aid in Canada, 2013/2014 ArchivedArticles and reports: 85-002-X201500114159Description:
This Juristat bulletin presents the most up-to-date results from the Legal Aid Survey which collects information on the operation of Canada's 13 legal aid plans. Information is provided on revenues, expenditures, personnel, and caseload (e.g., applications for legal aid services) associated with the delivery of legal aid in Canada.
Release date: 2015-04-08
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Articles and reports (6)
Articles and reports (6) ((6 results))
- Articles and reports: 12-001-X201500214249Description:
The problem of optimal allocation of samples in surveys using a stratified sampling plan was first discussed by Neyman in 1934. Since then, many researchers have studied the problem of the sample allocation in multivariate surveys and several methods have been proposed. Basically, these methods are divided into two classes: The first class comprises methods that seek an allocation which minimizes survey costs while keeping the coefficients of variation of estimators of totals below specified thresholds for all survey variables of interest. The second aims to minimize a weighted average of the relative variances of the estimators of totals given a maximum overall sample size or a maximum cost. This paper proposes a new optimization approach for the sample allocation problem in multivariate surveys. This approach is based on a binary integer programming formulation. Several numerical experiments showed that the proposed approach provides efficient solutions to this problem, which improve upon a ‘textbook algorithm’ and can be more efficient than the algorithm by Bethel (1985, 1989).
Release date: 2015-12-17 - Articles and reports: 11-626-X2015054Description:
This article in the Economic Insights series uses data from the latest cycles of the Survey of Household Spending and the Survey of Financial Security to examine trends in the implicit income derived from owner-occupied housing. Covering the 1969-to-2011 period, the article updates previous estimates of the returns to housing in order to assess the implications of the shifting economic environment of the late 2000s.
Release date: 2015-12-10 - Articles and reports: 82-003-X201501114243Description:
A surveillance tool was developed to assess dietary intake collected by surveys in relation to Eating Well with Canada’s Food Guide (CFG). The tool classifies foods in the Canadian Nutrient File (CNF) according to how closely they reflect CFG. This article describes the validation exercise conducted to ensure that CNF foods determined to be “in line with CFG” were appropriately classified.
Release date: 2015-11-18 - 4. Oral contraceptive use among women aged 15 to 49: Results from the Canadian Health Measures Survey ArchivedArticles and reports: 82-003-X201501014222Description:
Based on results for 2007 to 2011 from the Canadian Health Measures Survey, the present study estimates the prevalence of oral contraceptive (OC) use among non-pregnant reproductive-aged women; profiles OC users by sociodemographic characteristics and cardiovascular risk factors; and identifies the OCs used, by estrogen dose and progestin type.
Release date: 2015-10-21 - Articles and reports: 12-001-X201500114161Description:
A popular area level model used for the estimation of small area means is the Fay-Herriot model. This model involves unobservable random effects for the areas apart from the (fixed) linear regression based on area level covariates. Empirical best linear unbiased predictors of small area means are obtained by estimating the area random effects, and they can be expressed as a weighted average of area-specific direct estimators and regression-synthetic estimators. In some cases the observed data do not support the inclusion of the area random effects in the model. Excluding these area effects leads to the regression-synthetic estimator, that is, a zero weight is attached to the direct estimator. A preliminary test estimator of a small area mean obtained after testing for the presence of area random effects is studied. On the other hand, empirical best linear unbiased predictors of small area means that always give non-zero weights to the direct estimators in all areas together with alternative estimators based on the preliminary test are also studied. The preliminary testing procedure is also used to define new mean squared error estimators of the point estimators of small area means. Results of a limited simulation study show that, for small number of areas, the preliminary testing procedure leads to mean squared error estimators with considerably smaller average absolute relative bias than the usual mean squared error estimators, especially when the variance of the area effects is small relative to the sampling variances.
Release date: 2015-06-29 - 6. Legal aid in Canada, 2013/2014 ArchivedArticles and reports: 85-002-X201500114159Description:
This Juristat bulletin presents the most up-to-date results from the Legal Aid Survey which collects information on the operation of Canada's 13 legal aid plans. Information is provided on revenues, expenditures, personnel, and caseload (e.g., applications for legal aid services) associated with the delivery of legal aid in Canada.
Release date: 2015-04-08
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