Analysis

Results

All (156)

All (156) (60 to 70 of 156 results)

61. Optimizing quality of response through adaptive survey designs Archived
Articles and reports: 12-001-X201300111824
Description:
In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.
Release date: 2013-06-28
62. Automatic editing with hard and soft edits Archived
Articles and reports: 12-001-X201300111825
Description:
A considerable limitation of current methods for automatic data editing is that they treat all edits as hard constraints. That is to say, an edit failure is always attributed to an error in the data. In manual editing, however, subject-matter specialists also make extensive use of soft edits, i.e., constraints that identify (combinations of) values that are suspicious but not necessarily incorrect. The inability of automatic editing methods to handle soft edits partly explains why in practice many differences are found between manually edited and automatically edited data. The object of this article is to present a new formulation of the error localisation problem which can distinguish between hard and soft edits. Moreover, it is shown how this problem may be solved by an extension of the error localisation algorithm of De Waal and Quere (2003).
Release date: 2013-06-28
63. Sparse and efficient replication variance estimation for complex surveys Archived
Articles and reports: 12-001-X201300111826
Description:
It is routine practice for survey organizations to provide replication weights as part of survey data files. These replication weights are meant to produce valid and efficient variance estimates for a variety of estimators in a simple and systematic manner. Most existing methods for constructing replication weights, however, are only valid for specific sampling designs and typically require a very large number of replicates. In this paper we first show how to produce replication weights based on the method outlined in Fay (1984) such that the resulting replication variance estimator is algebraically equivalent to the fully efficient linearization variance estimator for any given sampling design. We then propose a novel weight-calibration method to simultaneously achieve efficiency and sparsity in the sense that a small number of sets of replication weights can produce valid and efficient replication variance estimators for key population parameters. Our proposed method can be used in conjunction with existing resampling techniques for large-scale complex surveys. Validity of the proposed methods and extensions to some balanced sampling designs are also discussed. Simulation results showed that our proposed variance estimators perform very well in tracking coverage probabilities of confidence intervals. Our proposed strategies will likely have impact on how public-use survey data files are produced and how these data sets are analyzed.
Release date: 2013-06-28
64. Estimation of the variance of cross-sectional indicators for the SILC survey in Switzerland Archived
Articles and reports: 12-001-X201300111827
Description:
SILC (Statistics on Income and Living Conditions) is an annual European survey that measures the population's income distribution, poverty and living conditions. It has been conducted in Switzerland since 2007, based on a four-panel rotation scheme that yields both cross-sectional and longitudinal estimates. This article examines the problem of estimating the variance of the cross-sectional poverty and social exclusion indicators selected by Eurostat. Our calculations take into account the non-linearity of the estimators, total non-response at different survey stages, indirect sampling and calibration. We adapt the method proposed by Lavallée (2002) for estimating variance in cases of non-response after weight sharing, and we obtain a variance estimator that is asymptotically unbiased and very easy to program.
Release date: 2013-06-28
65. Combining cohorts in longitudinal surveys Archived
Articles and reports: 12-001-X201300111828
Description:
A question that commonly arises in longitudinal surveys is the issue of how to combine differing cohorts of the survey. In this paper we present a novel method for combining different cohorts, and using all available data, in a longitudinal survey to estimate parameters of a semiparametric model, which relates the response variable to a set of covariates. The procedure builds upon the Weighted Generalized Estimation Equation method for handling missing waves in longitudinal studies. Our method is set up under a joint-randomization framework for estimation of model parameters, which takes into account the superpopulation model as well as the survey design randomization. We also propose a design-based, and a joint-randomization, variance estimation method. To illustrate the methodology we apply it to the Survey of Doctorate Recipients, conducted by the U.S. National Science Foundation.
Release date: 2013-06-28
66. Indirect sampling applied to skewed populations Archived
Articles and reports: 12-001-X201300111829
Description:
Indirect Sampling is used when the sampling frame is not the same as the target population, but related to the latter. The estimation process for Indirect Sampling is carried out using the Generalised Weight Share Method (GWSM), which is an unbiased procedure (see Lavallée 2002, 2007). For business surveys, Indirect Sampling is applied as follows: the sampling frame is one of establishments, while the target population is one of enterprises. Enterprises are selected through their establishments. This allows stratifying according to the establishment characteristics, rather than those associated with enterprises. Because the variables of interest of establishments are generally highly skewed (a small portion of the establishments covers the major portion of the economy), the GWSM results in unbiased estimates, but their variance can be large. The purpose of this paper is to suggest some adjustments to the weights to reduce the variance of the estimates in the context of skewed populations, while keeping the method unbiased. After a brief overview of Indirect Sampling and the GWSM, we describe the required adjustments to the GWSM. The estimates produced with these adjustments are compared to those from the original GWSM, via a small numerical example, and using real data originating from the Statistics Canada's Business Register.
Release date: 2013-06-28
67. On the performance of self benchmarked small area estimators under the Fay-Herriot area level model Archived
Articles and reports: 12-001-X201300111830
Description:
We consider two different self-benchmarking methods for the estimation of small area means based on the Fay-Herriot (FH) area level model: the method of You and Rao (2002) applied to the FH model and the method of Wang, Fuller and Qu (2008) based on augmented models. We derive an estimator of the mean squared prediction error (MSPE) of the You-Rao (YR) estimator of a small area mean that, under the true model, is correct to second-order terms. We report the results of a simulation study on the relative bias of the MSPE estimator of the YR estimator and the MSPE estimator of the Wang, Fuller and Qu (WFQ) estimator obtained under an augmented model. We also study the MSPE and the estimators of MSPE for the YR and WFQ estimators obtained under a misspecified model.
Release date: 2013-06-28
68. Conservative variance estimation for sampling designs with zero pairwise inclusion probabilities Archived
Articles and reports: 12-001-X201300111831
Description:
We consider conservative variance estimation for the Horvitz-Thompson estimator of a population total in sampling designs with zero pairwise inclusion probabilities, known as "non-measurable" designs. We decompose the standard Horvitz-Thompson variance estimator under such designs and characterize the bias precisely. We develop a bias correction that is guaranteed to be weakly conservative (nonnegatively biased) regardless of the nature of the non-measurability. The analysis sheds light on conditions under which the standard Horvitz-Thompson variance estimator performs well despite non-measurability and where the conservative bias correction may outperform commonly-used approximations.
Release date: 2013-06-28
69. The Increase in Food Prices Between 2007 and 2012 Archived
Articles and reports: 11-626-X2013027
Geography: Canada
Description: This article in the Economic Insights series looks at the increase in food prices that has taken place worldwide since 2007. It answers the following questions: How have food prices evolved in Canada and in the rest of the world since 2007? How do the recent trends in Canada compare to previous episodes of rising food prices?
Release date: 2013-06-27
70. Low Income Lines, 2011-2012 Archived
Articles and reports: 75F0002M2013002
Description:
In order to provide a holographic or complete picture of low income, Statistics Canada uses three complementary low income lines: the Low Income Cut-offs (LICOs), the Low Income Measures (LIMs) and the Market Basket Measure (MBM). While the first two lines were developed by Statistics Canada, the MBM is based on concepts developed by Human Resources and Skill Development Canada. Though these measures differ from one another, they give a generally consistent picture of low income status over time. None of these measures is the best. Each contributes its own perspective and its own strengths to the study of low income, so that cumulatively, the three provide a better understanding of the phenomenon of low income as a whole. These measures are not measures of poverty, but strictly measures of low income.
Release date: 2013-06-27

Stats in brief (46)

Stats in brief (46) (40 to 50 of 46 results)

41. Immigration and Ethnocultural Diversity Archived
Stats in brief: 11-629-X2015016
Description:
Tina Chui, Sociologist, presents a brief overview of immigration and ethnocultural diversity in Canada, 2011 National Household Survey.
Release date: 2013-05-08
42. Bisphenol A concentrations in Canadians, 2009 to 2011 Archived
Stats in brief: 82-625-X201300111778
Geography: Canada
Description:
This is a health fact sheet about bisphenol A concentrations in the Canadian population. Results shown are based on data from the Canadian Health Measures Survey.
Release date: 2013-04-17
43. Blood lead concentrations in Canadians, 2009 to 2011 Archived
Stats in brief: 82-625-X201300111779
Geography: Canada
Description:
This is a health fact sheet about blood lead concentrations in the Canadian population. Results shown are based on data from the Canadian Health Measures Survey.
Release date: 2013-04-17
44. Tutorial for businesses: Finding local census data Archived
Stats in brief: 11-629-X2015023
Description:
A wealth of local business information at your fingertips!
Release date: 2013-04-17
45. Tutorial for communities: Finding local census data Archived
Stats in brief: 11-629-X2015024
Description:
See how easy it is to find local data, for municipalities and community organizations, on StatCan's website.
Release date: 2013-04-17
46. Screening for Chronic Diseases Among Métis Archived
Stats in brief: 89-637-X2013001
Geography: Canada
Description:
This fact sheet explores self-reported use of preventive screening tests for diabetes, high blood pressure, and prostate, breast and cervical cancers, as reported in the 2006 Aboriginal Peoples Survey. It focuses on people aged 15 and over who self-identified as Métis. The reported use of screening tests by Métis people is compared with national guidelines. Consideration is given to those with and without a regular doctor and those living in different geographical regions. Non-Aboriginal data are provided for comparison purposes when similar questions were asked on the 2008 Canadian Community Health Survey.
Release date: 2013-03-27

Articles and reports (107)

Articles and reports (107) (50 to 60 of 107 results)

51. Estimation of the variance of cross-sectional indicators for the SILC survey in Switzerland Archived
Articles and reports: 12-001-X201300111827
Description:
SILC (Statistics on Income and Living Conditions) is an annual European survey that measures the population's income distribution, poverty and living conditions. It has been conducted in Switzerland since 2007, based on a four-panel rotation scheme that yields both cross-sectional and longitudinal estimates. This article examines the problem of estimating the variance of the cross-sectional poverty and social exclusion indicators selected by Eurostat. Our calculations take into account the non-linearity of the estimators, total non-response at different survey stages, indirect sampling and calibration. We adapt the method proposed by Lavallée (2002) for estimating variance in cases of non-response after weight sharing, and we obtain a variance estimator that is asymptotically unbiased and very easy to program.
Release date: 2013-06-28
52. Combining cohorts in longitudinal surveys Archived
Articles and reports: 12-001-X201300111828
Description:
A question that commonly arises in longitudinal surveys is the issue of how to combine differing cohorts of the survey. In this paper we present a novel method for combining different cohorts, and using all available data, in a longitudinal survey to estimate parameters of a semiparametric model, which relates the response variable to a set of covariates. The procedure builds upon the Weighted Generalized Estimation Equation method for handling missing waves in longitudinal studies. Our method is set up under a joint-randomization framework for estimation of model parameters, which takes into account the superpopulation model as well as the survey design randomization. We also propose a design-based, and a joint-randomization, variance estimation method. To illustrate the methodology we apply it to the Survey of Doctorate Recipients, conducted by the U.S. National Science Foundation.
Release date: 2013-06-28
53. Indirect sampling applied to skewed populations Archived
Articles and reports: 12-001-X201300111829
Description:
Indirect Sampling is used when the sampling frame is not the same as the target population, but related to the latter. The estimation process for Indirect Sampling is carried out using the Generalised Weight Share Method (GWSM), which is an unbiased procedure (see Lavallée 2002, 2007). For business surveys, Indirect Sampling is applied as follows: the sampling frame is one of establishments, while the target population is one of enterprises. Enterprises are selected through their establishments. This allows stratifying according to the establishment characteristics, rather than those associated with enterprises. Because the variables of interest of establishments are generally highly skewed (a small portion of the establishments covers the major portion of the economy), the GWSM results in unbiased estimates, but their variance can be large. The purpose of this paper is to suggest some adjustments to the weights to reduce the variance of the estimates in the context of skewed populations, while keeping the method unbiased. After a brief overview of Indirect Sampling and the GWSM, we describe the required adjustments to the GWSM. The estimates produced with these adjustments are compared to those from the original GWSM, via a small numerical example, and using real data originating from the Statistics Canada's Business Register.
Release date: 2013-06-28
54. On the performance of self benchmarked small area estimators under the Fay-Herriot area level model Archived
Articles and reports: 12-001-X201300111830
Description:
We consider two different self-benchmarking methods for the estimation of small area means based on the Fay-Herriot (FH) area level model: the method of You and Rao (2002) applied to the FH model and the method of Wang, Fuller and Qu (2008) based on augmented models. We derive an estimator of the mean squared prediction error (MSPE) of the You-Rao (YR) estimator of a small area mean that, under the true model, is correct to second-order terms. We report the results of a simulation study on the relative bias of the MSPE estimator of the YR estimator and the MSPE estimator of the Wang, Fuller and Qu (WFQ) estimator obtained under an augmented model. We also study the MSPE and the estimators of MSPE for the YR and WFQ estimators obtained under a misspecified model.
Release date: 2013-06-28
55. Conservative variance estimation for sampling designs with zero pairwise inclusion probabilities Archived
Articles and reports: 12-001-X201300111831
Description:
We consider conservative variance estimation for the Horvitz-Thompson estimator of a population total in sampling designs with zero pairwise inclusion probabilities, known as "non-measurable" designs. We decompose the standard Horvitz-Thompson variance estimator under such designs and characterize the bias precisely. We develop a bias correction that is guaranteed to be weakly conservative (nonnegatively biased) regardless of the nature of the non-measurability. The analysis sheds light on conditions under which the standard Horvitz-Thompson variance estimator performs well despite non-measurability and where the conservative bias correction may outperform commonly-used approximations.
Release date: 2013-06-28
56. The Increase in Food Prices Between 2007 and 2012 Archived
Articles and reports: 11-626-X2013027
Geography: Canada
Description: This article in the Economic Insights series looks at the increase in food prices that has taken place worldwide since 2007. It answers the following questions: How have food prices evolved in Canada and in the rest of the world since 2007? How do the recent trends in Canada compare to previous episodes of rising food prices?
Release date: 2013-06-27
57. Low Income Lines, 2011-2012 Archived
Articles and reports: 75F0002M2013002
Description:
In order to provide a holographic or complete picture of low income, Statistics Canada uses three complementary low income lines: the Low Income Cut-offs (LICOs), the Low Income Measures (LIMs) and the Market Basket Measure (MBM). While the first two lines were developed by Statistics Canada, the MBM is based on concepts developed by Human Resources and Skill Development Canada. Though these measures differ from one another, they give a generally consistent picture of low income status over time. None of these measures is the best. Each contributes its own perspective and its own strengths to the study of low income, so that cumulatively, the three provide a better understanding of the phenomenon of low income as a whole. These measures are not measures of poverty, but strictly measures of low income.
Release date: 2013-06-27
58. Education in Canada: Attainment, Field of Study and Location of Study Archived
Articles and reports: 99-012-X2011001
Description:
This National Household Survey analytical document presents key results from the analysis of data on education in Canada in 2011. The analysis focuses on the highest certificate, diploma or degree, the field of study and the location of study for the population aged 25 to 64 years for various levels of geography, including Canada, the provinces and territories, and the census metropolitan areas (CMAs).
Release date: 2013-06-26
59. Portrait of Canada's Labour Force Archived
Articles and reports: 99-012-X2011002
Description:
This National Household Survey analytical document presents key findings emerging from the analysis of data on Canada's labour force in 2011. The analysis focuses on various levels of geography, including Canada, the provinces and territories.
Release date: 2013-06-26
60. Family violence in Canada: A statistical profile, 2011 Archived
Articles and reports: 85-002-X201300111805
Geography: Canada
Description:
This Juristat article profiles intimate partner violence (including both spousal and dating violence partners), family violence against children, and family violence against seniors. The special focus this year is family-related murder-suicides, which highlights trends, risk factors, underlying motives, and characteristics of the victims and accused. This annual article is designed to help monitor changes in family violence over time and identify emerging issues.
Release date: 2013-06-25

Journals and periodicals (3)

Journals and periodicals (3) ((3 results))

1. Programme for the International Assessment of Adult Competencies Series
Journals and periodicals: 89-555-X
Description:
The Programme for the International Assessment of Adult Competencies (PIAAC), an initiative of OECD, provides internationally comparable measures of three skills that are essential to processing information: literacy, numeracy, and problem-solving in technology-rich environments (referred to as PS-TRE). Canada is one of 24 countries and sub-national regions participating in this initiative. This study aims to provide a picture of the competencies of the Canadian population aged 16 to 65 in all three skill domains.
Release date: 2013-10-18
2. Aboriginal Peoples Survey, 2006
Journals and periodicals: 89-637-X
Geography: Canada
Description:
The Aboriginal Peoples Survey is a national survey of Aboriginal peoples (First Nations people living off-reserve, Métis and Inuit) living in urban, rural and northern locations throughout Canada. The survey provides valuable data on the social and economic conditions of Aboriginal children and youth (6-14 years) and Aboriginal people (15 years and over). It was conducted previously in 1991 and in 2001. The survey was designed and implemented in partnership with national Aboriginal organizations. The purpose of the Aboriginal Peoples Survey was to provide data on the social and economic conditions of Aboriginal people in Canada. More specifically, its purpose was to identify the needs of Aboriginal people and focus on issues such as health, language, employment, income, schooling, housing, and mobility. More detailed information about the survey is available in the APS 2006 Concepts and Methods Guide.
Release date: 2013-03-27
3. Households and the Environment
Journals and periodicals: 11-526-X
Description:
Statistics Canada periodically conducts the Household and the Environment Survey to measure household actions that have, or are perceived to have, positive or negative impacts on the environment. The survey provides baseline information to use in measuring progress towards sound environmental practices at the household level. The subjects examined include consumption and conservation of energy, consumption and conservation of water, indoor environment, use of pesticides and fertilizers, outdoor air quality and consumer decisions.
Release date: 2013-03-18

Report a problem or mistake on this page

Date modified:: 2024-08-04

Language selection

Search and menus

Search

Analysis

Filter results by

Keyword(s)

Subject

Year of publication

Author(s)

Survey or statistical program

Content

Results

All (156) (60 to 70 of 156 results)

Stats in brief (46) (40 to 50 of 46 results)

Articles and reports (107) (50 to 60 of 107 results)

Journals and periodicals (3) ((3 results))

Analysis

Filter results by

Keyword(s)

Subject

Year of publication

Author(s)

Survey or statistical program

Content

Results

All (156) (60 to 70 of 156 results)

Stats in brief (46) (40 to 50 of 46 results)

Articles and reports (107) (50 to 60 of 107 results)

Journals and periodicals (3) ((3 results))

How do I use the filters and the search box?

How do I refine my search?

How does the search work?

How are the results ordered?

How are the results ordered?