Keyword search

Skip to main content
Skip to footer

Language selection

Français

Search and menus

Search and menus

Search

Results

All (147)

All (147) (30 to 40 of 147 results)

31. Being a Parent in a Stepfamily: A Profile Archived
Articles and reports: 89-650-X2012002
Geography: Canada
Description:
The article focuses on the situation of parents and stepparents aged 20 to 64, who are members of a stepfamily. It examines the family structure and the parents' conjugal history. It also compares socieconomic characteristics of stepfamily parents with those in intact families, in particular their income, education, labor force participation and the financial difficulties they encounter.
Release date: 2012-10-18
32. Seeking medical help to conceive Archived
Articles and reports: 82-003-X201200411719
Geography: Canada
Description:
Based on data from the Infertility Component of the 2009/2010 Canadian Community Health Survey, this study estimated the prevalence of help-seeking among couples trying to get pregnant. The association between seeking help and the couples' socio-demographic characteristics was examined, as were the methods they used to try to achieve pregnancy.
Release date: 2012-10-17
33. Social participation and the health and well-being of Canadian seniors Archived
Articles and reports: 82-003-X201200411720
Geography: Canada
Description:
Data from the 2008/2009 Canadian Community Health Survey-Healthy Aging were used to examine the relationship between frequent social participation and self-perceived health, loneliness and life dissatisfaction in a sample of people aged 65 or older.
Release date: 2012-10-17
34. The difference in hypertension control between older men and women Archived
Articles and reports: 82-003-X201200411721
Geography: Canada
Description:
Using data from the 2007 to 2009 Canadian Health Measures Survey, this study explores the disparity in hypertension control between men and women aged 60 to 79.
Release date: 2012-10-17
35. The Contribution of Financial Corporations to Aggregate Corporate Income Archived
Articles and reports: 11-626-X2012017
Geography: Canada
Description:
This article in the Economic Insights series presents new income data on financial corporations derived from the revised Canadian System of National Accounts. It is one of a series of articles designed to emphasize key aspects of the new national accounts data and their utility for analyses of the Canadian economy.
Release date: 2012-10-17
36. The Impact of R&D Capitalization on GDP and Productivity Growth in Canada Archived
Articles and reports: 11-626-X2012016
Geography: Canada
Description:
This article in the Economic Insights series discusses the impact of capitalization of research and development (R&D) expenditure on gross domestic product (GDP) and productivity growth. Capitalizing R&D expenditure increases the scope of investment, and hence, the level of measured capital and GDP. Because R&D expenditure accounts for a small share of GDP, R&D capitalization has little impact on GDP and labour productivity growth.
Release date: 2012-10-12
37. Adult correctional statistics in Canada, 2010/2011 Archived
Articles and reports: 85-002-X201200111715
Geography: Province or territory
Description:
This Juristat article presents information on adults in custody and under community supervision in Canada. Short- and long-term trends are explored at both the national and provincial/territorial levels. As well, the characteristics of adults in the correctional system (such as their age, sex and Aboriginal identity) are discussed.
Release date: 2012-10-11
38. Youth correctional statistics in Canada, 2010/2011 Archived
Articles and reports: 85-002-X201200111716
Geography: Canada
Description:
This Juristat article provides a statistical overview of youth admitted to and released from custody and community services in Canada. Analysis is presented at the national as well as the provincial and territorial levels. Average counts, admissions, and the characteristics of youth in the correctional system (such as age, sex and Aboriginal identity) are discussed.
Release date: 2012-10-11
39. Certification, Completion, and the Wages of Canadian Registered Apprentices Archived
Articles and reports: 11F0019M2012345
Geography: Canada
Description:
This study uses the 2007 National Apprenticeship Survey (NAS) to compare hourly wage differences observed between apprentices who complete their programs and apprentices who discontinue their programs. The primary objective is to estimate the magnitude of the wage difference between these groups while taking into account a broad range of characteristics. Furthermore, wage comparisons are refined further by disaggregating apprentices into four mutually exclusive groups, defined on the basis of program completion and certification.
Release date: 2012-10-03
40. Income of Canadian Households: 1981-2010 Archived
Articles and reports: 11-626-X2012015
Geography: Canada
Description:
This Economic Insights article presents new income data on Canadian households from the revised Canadian System of National Accounts (CSNA12). It is one of a series of Economic Insights articles designed to emphasize key aspects of the new national accounts data and their utility for analyses of the Canadian economy.
The Canadian System of National Accounts had for many years combined the incomes and expenditures of non-profit institutions and certain other institutions with those of households. Over the years, this has led users to ask whether the economic picture of Canadian households would be similar if the data on non-profit institutions were no longer combined with the household data. One of the important changes with the current revisions is that data based on a "pure" measure of the household sector are now available.
The new data, which provide more detail on the transactions of households with other sectors of the economy, tell fundamentally the same story as to the evolution and composition of household incomes and expenditures.
Release date: 2012-10-01

Data (0)

Data (0) (0 results)

No content available at this time.

Analysis (147)

Analysis (147) (0 to 10 of 147 results)

1. Survey Quality Archived
Articles and reports: 12-001-X201200211751
Description:
Survey quality is a multi-faceted concept that originates from two different development paths. One path is the total survey error paradigm that rests on four pillars providing principles that guide survey design, survey implementation, survey evaluation, and survey data analysis. We should design surveys so that the mean squared error of an estimate is minimized given budget and other constraints. It is important to take all known error sources into account, to monitor major error sources during implementation, to periodically evaluate major error sources and combinations of these sources after the survey is completed, and to study the effects of errors on the survey analysis. In this context survey quality can be measured by the mean squared error and controlled by observations made during implementation and improved by evaluation studies. The paradigm has both strengths and weaknesses. One strength is that research can be defined by error sources and one weakness is that most total survey error assessments are incomplete in the sense that it is not possible to include the effects of all the error sources. The second path is influenced by ideas from the quality management sciences. These sciences concern business excellence in providing products and services with a focus on customers and competition from other providers. These ideas have had a great influence on many statistical organizations. One effect is the acceptance among data providers that product quality cannot be achieved without a sufficient underlying process quality and process quality cannot be achieved without a good organizational quality. These levels can be controlled and evaluated by service level agreements, customer surveys, paradata analysis using statistical process control, and organizational assessment using business excellence models or other sets of criteria. All levels can be improved by conducting improvement projects chosen by means of priority functions. The ultimate goal of improvement projects is that the processes involved should gradually approach a state where they are error-free. Of course, this might be an unattainable goal, albeit one to strive for. It is not realistic to hope for continuous measurements of the total survey error using the mean squared error. Instead one can hope that continuous quality improvement using management science ideas and statistical methods can minimize biases and other survey process problems so that the variance becomes an approximation of the mean squared error. If that can be achieved we have made the two development paths approximately coincide.
Release date: 2012-12-19
2. Data collection: Experiences and lessons learned by asking sensitive questions in a remote coca growing region in Peru Archived
Articles and reports: 12-001-X201200211752
Description:
Coca is a native bush from the Amazon rainforest from which cocaine, an illegal alkaloid, is extracted. Asking farmers about the extent of their coca cultivation areas is considered a sensitive question in remote coca growing regions in Peru. As a consequence, farmers tend not to participate in surveys, do not respond to the sensitive question(s), or underreport their individual coca cultivation areas. There is a political and policy concern in accurately and reliably measuring coca growing areas, therefore survey methodologists need to determine how to encourage response and truthful reporting of sensitive questions related to coca growing. Specific survey strategies applied in our case study included establishment of trust with farmers, confidentiality assurance, matching interviewer-respondent characteristics, changing the format of the sensitive question(s), and non enforcement of absolute isolation of respondents during the survey. The survey results were validated using satellite data. They suggest that farmers tend to underreport their coca areas to 35 to 40% of their true extent.
Release date: 2012-12-19
3. Imputation for nonmonotone nonresponse in the survey of industrial research and development Archived
Articles and reports: 12-001-X201200211753
Description:
Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.
Release date: 2012-12-19
4. Some theory for propensity-score-adjustment estimators in survey sampling Archived
Articles and reports: 12-001-X201200211754
Description:
The propensity-scoring-adjustment approach is commonly used to handle selection bias in survey sampling applications, including unit nonresponse and undercoverage. The propensity score is computed using auxiliary variables observed throughout the sample. We discuss some asymptotic properties of propensity-score-adjusted estimators and derive optimal estimators based on a regression model for the finite population. An optimal propensity-score-adjusted estimator can be implemented using an augmented propensity model. Variance estimation is discussed and the results from two simulation studies are presented.
Release date: 2012-12-19
5. Assessing the accuracy of response propensity models in longitudinal studies Archived
Articles and reports: 12-001-X201200211755
Description:
Non-response in longitudinal studies is addressed by assessing the accuracy of response propensity models constructed to discriminate between and predict different types of non-response. Particular attention is paid to summary measures derived from receiver operating characteristic (ROC) curves and logit rank plots. The ideas are applied to data from the UK Millennium Cohort Study. The results suggest that the ability to discriminate between and predict non-respondents is not high. Weights generated from the response propensity models lead to only small adjustments in employment transitions. Conclusions are drawn in terms of the potential of interventions to prevent non-response.
Release date: 2012-12-19
6. Confidence interval estimation of small area parameters shrinking both means and variances Archived
Articles and reports: 12-001-X201200211756
Description:
We propose a new approach to small area estimation based on joint modelling of means and variances. The proposed model and methodology not only improve small area estimators but also yield "smoothed" estimators of the true sampling variances. Maximum likelihood estimation of model parameters is carried out using EM algorithm due to the non-standard form of the likelihood function. Confidence intervals of small area parameters are derived using a more general decision theory approach, unlike the traditional way based on minimizing the squared error loss. Numerical properties of the proposed method are investigated via simulation studies and compared with other competitive methods in the literature. Theoretical justification for the effective performance of the resulting estimators and confidence intervals is also provided.
Release date: 2012-12-19
7. Condition indexes and variance decompositions for diagnosing collinearity in linear model analysis of survey data Archived
Articles and reports: 12-001-X201200211757
Description:
Collinearities among explanatory variables in linear regression models affect estimates from survey data just as they do in non-survey data. Undesirable effects are unnecessarily inflated standard errors, spuriously low or high t-statistics, and parameter estimates with illogical signs. The available collinearity diagnostics are not generally appropriate for survey data because the variance estimators they incorporate do not properly account for stratification, clustering, and survey weights. In this article, we derive condition indexes and variance decompositions to diagnose collinearity problems in complex survey data. The adapted diagnostics are illustrated with data based on a survey of health characteristics.
Release date: 2012-12-19
8. Bayesian inference for finite population quantiles from unequal probability samples Archived
Articles and reports: 12-001-X201200211758
Description:
This paper develops two Bayesian methods for inference about finite population quantiles of continuous survey variables from unequal probability sampling. The first method estimates cumulative distribution functions of the continuous survey variable by fitting a number of probit penalized spline regression models on the inclusion probabilities. The finite population quantiles are then obtained by inverting the estimated distribution function. This method is quite computationally demanding. The second method predicts non-sampled values by assuming a smoothly-varying relationship between the continuous survey variable and the probability of inclusion, by modeling both the mean function and the variance function using splines. The two Bayesian spline-model-based estimators yield a desirable balance between robustness and efficiency. Simulation studies show that both methods yield smaller root mean squared errors than the sample-weighted estimator and the ratio and difference estimators described by Rao, Kovar, and Mantel (RKM 1990), and are more robust to model misspecification than the regression through the origin model-based estimator described in Chambers and Dunstan (1986). When the sample size is small, the 95% credible intervals of the two new methods have closer to nominal confidence coverage than the sample-weighted estimator.
Release date: 2012-12-19
9. Multiple imputation with census data Archived
Articles and reports: 12-001-X201200211759
Description:
A benefit of multiple imputation is that it allows users to make valid inferences using standard methods with simple combining rules. Existing combining rules for multivariate hypothesis tests fail when the sampling error is zero. This paper proposes modified tests for use with finite population analyses of multiply imputed census data for the applications of disclosure limitation and missing data and evaluates their frequentist properties through simulation.
Release date: 2012-12-19
10. Seniors' use of and unmet needs for home care, 2009 Archived
Articles and reports: 82-003-X201200411760
Geography: Canada
Description:
This study uses data from the 2009 Canadian Community Health Survey-Healthy Aging to provide a profile of community-dwelling seniors receiving home care and describe the types of care they receive from formal and informal sources. Seniors' unmet needs for professional home care are also examined.
Release date: 2012-12-19

Reference (0)

Reference (0) (0 results)

No content available at this time.

Report a problem or mistake on this page

Date modified:: 2024-04-20