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  • Articles and reports: 21-006-X2007005
    Geography: Canada
    Description: This bulletin's analysis focuses on the effect of "rurality" in determining: 1) water consumption flows at the municipal level; and 2) water quality perception of a household, as proxied by the water treatment choice of a household.
    Release date: 2009-01-23

  • Articles and reports: 82-003-X200900110772
    Geography: Canada
    Description:

    This study examines the relationship between lower income and the risk of experiencing high psychological distress over 12 years.

    Release date: 2009-01-21

  • Articles and reports: 82-003-X200900110773
    Geography: Canada
    Description:

    This article assesses the coverage of the linkage between data from cycle 1.1 of the Canadian Community Health Survey and inpatient hospital data.

    Release date: 2009-01-21

  • Articles and reports: 11-008-X200900110769
    Geography: Canada
    Description:

    This article offers a brief demographic and socio-economic profile of the people who reported Métis as their Aboriginal identity in the 2006 Census of Population. It discusses the growth of the Métis population over the decade 1996-2006 as well as reports on their housing conditions, languages, education, labour force and earnings.

    Release date: 2009-01-20

  • Articles and reports: 11-008-X200900110770
    Geography: Canada
    Description:

    This article uses data from the 2001 and 2006 Census of Canada to look at the use of non-official languages at work among immigrants. Owing to the growing contribution that immigrants are making to Canada's labour force, languages other than English and French are being used more often in Canadian work places. The article examines which languages are used most often. It also looks at the impact of age, gender, year of immigration, education, official language ability and the presence of others who speak the mother tongue in the community where they work, on the likelihood that immigrants will use a non-official language on the job.

    Release date: 2009-01-20

  • Articles and reports: 11-008-X200900110771
    Geography: Canada
    Description:

    This article explores the implications of working in a language other than English or French for immigrants in Canada. It looks at the occupations and industries in which immigrants who use non-official languages on the job are found. Holding other factors constant, it also looks at the impact on employment earnings and the financial returns to education for immigrants who work in languages other than English or French.

    Release date: 2009-01-20

  • Articles and reports: 89-637-X2009001
    Geography: Canada
    Description:

    This article highlights initial findings from the 2006 Aboriginal Peoples Survey regarding the school experiences of First Nations children aged 6 to 14 who are living off reserve. The goal of this report is to provide a descriptive portrait of the early school experiences among First Nations children, as well as to gain an understanding of some of the contextual factors likely to be associated with their school achievement. To meet this end a number of factors are explored, including school experiences, socio-demographic characteristics, activity limitations and medical conditions, and out-of-school activities.

    Release date: 2009-01-16

  • Articles and reports: 11-010-X200900110780
    Geography: Canada
    Description:

    Despite more stable annual growth since 2002, there has been no reduction in the volatility of monthly changes in GDP. Partly this reflects the increasing importance of industries such as resources and construction where output is more unstable.

    Release date: 2009-01-15

  • Articles and reports: 15-206-X2008021
    Description:

    This paper makes use of a growth accounting framework to examine the importance of public capital for private sector productivity growth. Most measures of multifactor productivity consider only the inputs of the business sector. This paper produces an alternate measure of multifactor productivity for the business sector that incorporates the impact of public capital. It uses the estimate of the elasticity of business sector output with respect to public capital derived from Macdonald (2008). Over the period, the conventional estimate of MFP growth averages 0.4% per year. About half of this growth is attributable to public capital.

    Release date: 2009-01-14
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Analysis (269)

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  • Articles and reports: 13-604-M2009063
    Description:

    This paper highlights the Canadian Tourism Satellite Account (CTSA) developed by Statistics Canada. The CTSA provides an economic measure of the importance of tourism in terms of expenditures, Gross Domestic Product and employment for Canada. It permits a comparison of tourism with other industries within Canada since the concepts and methods used are based on the framework of the Canadian System of National Accounts. The study revealed that tourism is an important part of Canada's well diversified economy. This paper presents the results of the CTSA for reference year 2004.

    This study was prepared by staff of the Research and Development Projects and Analysis Section, Income and Expenditure Accounts Division, Statistics Canada. The study was funded by the Canadian Tourism Commission.

    Release date: 2009-12-24

  • Articles and reports: 12-001-X200900211036
    Description:

    Surveys are frequently required to produce estimates for subpopulations, sometimes for a single subpopulation and sometimes for several subpopulations in addition to the total population. When membership of a rare subpopulation (or domain) can be determined from the sampling frame, selecting the required domain sample size is relatively straightforward. In this case the main issue is the extent of oversampling to employ when survey estimates are required for several domains and for the total population. Sampling and oversampling rare domains whose members cannot be identified in advance present a major challenge. A variety of methods has been used in this situation. In addition to large-scale screening, these methods include disproportionate stratified sampling, two-phase sampling, the use of multiple frames, multiplicity sampling, panel surveys, and the use of multi-purpose surveys. This paper illustrates the application of these methods in a range of social surveys.

    Release date: 2009-12-23

  • Articles and reports: 12-001-X200900211037
    Description:

    Randomized response strategies, which have originally been developed as statistical methods to reduce nonresponse as well as untruthful answering, can also be applied in the field of statistical disclosure control for public use microdata files. In this paper a standardization of randomized response techniques for the estimation of proportions of identifying or sensitive attributes is presented. The statistical properties of the standardized estimator are derived for general probability sampling. In order to analyse the effect of different choices of the method's implicit "design parameters" on the performance of the estimator we have to include measures of privacy protection in our considerations. These yield variance-optimum design parameters given a certain level of privacy protection. To this end the variables have to be classified into different categories of sensitivity. A real-data example applies the technique in a survey on academic cheating behaviour.

    Release date: 2009-12-23

  • Articles and reports: 12-001-X200900211038
    Description:

    We examine overcoming the overestimation in using generalized weight share method (GWSM) caused by link nonresponse in indirect sampling. A few adjustment methods incorporating link nonresponse in using GWSM have been constructed for situations both with and without the availability of auxiliary variables. A simulation study on a longitudinal survey is presented using some of the adjustment methods we recommend. The simulation results show that these adjusted GWSMs perform well in reducing both estimation bias and variance. The advancement in bias reduction is significant.

    Release date: 2009-12-23

  • Articles and reports: 12-001-X200900211039
    Description:

    Propensity weighting is a procedure to adjust for unit nonresponse in surveys. A form of implementing this procedure consists of dividing the sampling weights by estimates of the probabilities that the sampled units respond to the survey. Typically, these estimates are obtained by fitting parametric models, such as logistic regression. The resulting adjusted estimators may become biased when the specified parametric models are incorrect. To avoid misspecifying such a model, we consider nonparametric estimation of the response probabilities by local polynomial regression. We study the asymptotic properties of the resulting estimator under quasi-randomization. The practical behavior of the proposed nonresponse adjustment approach is evaluated on NHANES data.

    Release date: 2009-12-23

  • Articles and reports: 12-001-X200900211040
    Description:

    In this paper a multivariate structural time series model is described that accounts for the panel design of the Dutch Labour Force Survey and is applied to estimate monthly unemployment rates. Compared to the generalized regression estimator, this approach results in a substantial increase of the accuracy due to a reduction of the standard error and the explicit modelling of the bias between the subsequent waves.

    Release date: 2009-12-23

  • Articles and reports: 12-001-X200900211041
    Description:

    Estimation of small area (or domain) compositions may suffer from informative missing data, if the probability of missing varies across the categories of interest as well as the small areas. We develop a double mixed modeling approach that combines a random effects mixed model for the underlying complete data with a random effects mixed model of the differential missing-data mechanism. The effect of sampling design can be incorporated through a quasi-likelihood sampling model. The associated conditional mean squared error of prediction is approximated in terms of a three-part decomposition, corresponding to a naive prediction variance, a positive correction that accounts for the hypothetical parameter estimation uncertainty based on the latent complete data, and another positive correction for the extra variation due to the missing data. We illustrate our approach with an application to the estimation of Municipality household compositions based on the Norwegian register household data, which suffer from informative under-registration of the dwelling identity number.

    Release date: 2009-12-23

  • Articles and reports: 12-001-X200900211042
    Description:

    This paper proposes an approach for small area prediction based on data obtained from periodic surveys and censuses. We apply our approach to obtain population predictions for the municipalities not sampled in the Brazilian annual Household Survey (PNAD), as well as to increase the precision of the design-based estimates obtained for the sampled municipalities. In addition to the data provided by the PNAD, we use census demographic data from 1991 and 2000, as well as a complete population count conducted in 1996. Hierarchically non-structured and spatially structured growth models that gain strength from all the sampled municipalities are proposed and compared.

    Release date: 2009-12-23

  • Articles and reports: 12-001-X200900211043
    Description:

    Business surveys often use a one-stage stratified simple random sampling without replacement design with some certainty strata. Although weight adjustment is typically applied for unit nonresponse, the variability due to nonresponse may be omitted in practice when estimating variances. This is problematic especially when there are certainty strata. We derive some variance estimators that are consistent when the number of sampled units in each weighting cell is large, using the jackknife, linearization, and modified jackknife methods. The derived variance estimators are first applied to empirical data from the Annual Capital Expenditures Survey conducted by the U.S. Census Bureau and are then examined in a simulation study.

    Release date: 2009-12-23

  • Articles and reports: 12-001-X200900211044
    Description:

    In large scaled sample surveys it is common practice to employ stratified multistage designs where units are selected using simple random sampling without replacement at each stage. Variance estimation for these types of designs can be quite cumbersome to implement, particularly for non-linear estimators. Various bootstrap methods for variance estimation have been proposed, but most of these are restricted to single-stage designs or two-stage cluster designs. An extension of the rescaled bootstrap method (Rao and Wu 1988) to stratified multistage designs is proposed which can easily be extended to any number of stages. The proposed method is suitable for a wide range of reweighting techniques, including the general class of calibration estimators. A Monte Carlo simulation study was conducted to examine the performance of the proposed multistage rescaled bootstrap variance estimator.

    Release date: 2009-12-23
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