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All (78)
All (78) (30 to 40 of 78 results)
- Articles and reports: 82-003-X201500314143Description:
This study evaluates the representativeness of the pooled 2007/2009-2009/2011 Canadian Health Measures Survey immigrant sample by comparing it with socio-demographic distributions from the 2006 Census and the 2011 National Household Survey, and with selected self-reported health and health behaviour indicators from the 2009/2010 Canadian Community Health Survey.
Release date: 2015-03-18 - Articles and reports: 12-001-X201400214097Description:
When monthly business surveys are not completely overlapping, there are two different estimators for the monthly growth rate of the turnover: (i) one that is based on the monthly estimated population totals and (ii) one that is purely based on enterprises observed on both occasions in the overlap of the corresponding surveys. The resulting estimates and variances might be quite different. This paper proposes an optimal composite estimator for the growth rate as well as the population totals.
Release date: 2014-12-19 - Articles and reports: 12-001-X201400111886Description:
Bayes linear estimator for finite population is obtained from a two-stage regression model, specified only by the means and variances of some model parameters associated with each stage of the hierarchy. Many common design-based estimators found in the literature can be obtained as particular cases. A new ratio estimator is also proposed for the practical situation in which auxiliary information is available. The same Bayes linear approach is proposed for obtaining estimation of proportions for multiple categorical data associated with finite population units, which is the main contribution of this work. A numerical example is provided to illustrate it.
Release date: 2014-06-27 - Articles and reports: 11F0027M2014093Geography: CanadaDescription:
This paper examines the composition of Canadian and United States gross national saving for a period spanning more than 80 years, using time series from the Bureau of Economic Analysis in the United States and a newly created dataset for Canada. The paper tracks short-term, year-to-year fluctuations, cyclical fluctuations and long-term compositional changes. It illustrates a substantial degree of national saving reallocation across sectors, annually and across business cycles. The national saving rate is more stable than sector saving rates, implying that sectoral changes have been largely offsetting.
Release date: 2014-06-26 - Articles and reports: 89-648-X2013001Geography: CanadaDescription:
In the fall of 2008, Statistics Canada, in partnership with Human Resources and Social Development Canada (HRSDC) and the Canadian academic community, put into the field the Canadian Household Panel Survey Pilot (CHPS-Pilot). This paper describes the background of the project, the steps taken in the development of the pilot survey, and the results of a series of explorations of the data collected.
Release date: 2013-01-24 - 36. Opening remarks of the Symposium 2006 : Methodological Issues in Measuring Population Health ArchivedArticles and reports: 11-522-X200600110439Description:
On behalf of Statistics Canada, I would like to welcome you all, friends and colleagues, to Symposium 2006. This the 23rd International Symposium organized by Statistics Canada on survey methodology.
Release date: 2008-03-17 - 37. Closing remarks of the Symposium 2006 : Methodological Issues in Measuring Population Health ArchivedArticles and reports: 11-522-X200600110440Description:
Now that we have come to the end of a day of workshops plus two very full days of sessions, I have the very pleasant task of offering a few closing remarks and, more importantly, of recognizing the efforts of those who have contributed to the success of this year's symposium. And it has clearly been a success.
Release date: 2008-03-17 - Articles and reports: 75F0002M1992005Description:
In recent years a considerable amount of attention has been focused on what is known as the "seam" problem in surveys having a longitudinal design. This refers to the fact that the number of transitions or changes in status observed across the seam when the data for two consecutive reference periods are juxtaposed is considerably larger (so metimes, an order of magnitude larger) than the average number observed in the data reported for a single reference period.
Response errors are the most probable cause of seam biases. For characteristics such as employment status or income recipiency, errors can be due to omissions or to misplacing events in time. However, standard explanations for response errors based on "forgetting theory" are not supported by the data. Results concerning proxy effects are mixed but generally show no clear association.
Dependent interviewing (i.e., feeding back to respondents responses provided on a previous interview) would appear the most appropriate strategy for dealing with seam effects. However, not all feedback techniques will necessarily work. A comparison of two such techniques, one which failed to eliminate seam effects (SIPP) and one which was successful (LMAS) and which has also been successfully tested by SIPP, attempts to identify the key features required.
The paper argues in closing that dependent interviewing should not be viewed as a necessary evil that is required for reducing seam biases but as an integral part of the interview process in longitudinal surveys.
Release date: 2008-02-29 - 39. Defining retirement ArchivedArticles and reports: 75-001-X200710213182Geography: CanadaDescription:
Even though the retirement wave will have significant labour market consequences over the next 20 years, no regular statistics are produced on retirement or the retired. Part of the problem stems from lack of clear definitions. For some, retirement means complete withdrawal from the labour force while for others it entails part- or even full-time work. The article examines the challenges faced by statistical organizations in measuring retirement and offers several recommendations to inform a discussion for arriving at international standards.
Release date: 2007-03-20 - 40. Holistic response management of business surveys ArchivedArticles and reports: 11-522-X20050019440Description:
For a number of years, Statistics Canada has been taking incremental steps to improve its survey programs through the use of tax data substitution, content fine tuning and earlier data releases. The approach is to focus survey collection and analysis on the large, complex enterprises where tax data is insufficient to meet the needs of the Canadian statistical system.
Release date: 2007-03-02
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Analysis (78)
Analysis (78) (50 to 60 of 78 results)
- Articles and reports: 11-522-X20030017699Description:
This paper illustrates the link between the strategic needs of a national statistical office (NSO) and the methodological needs that this generates.
Release date: 2005-01-26 - Articles and reports: 11-522-X20030017716Description:
This paper examines how risk and quality can be used to assist with investment decisions across the Office for National Statistics (ONS) in the United Kingdom. It discusses the construction of a table developed to provide measures of the strengths and weaknesses of statistical inputs and outputs.
Release date: 2005-01-26 - Articles and reports: 12-002-X20040027034Description:
The use of command files in Stat/Transfer can expedite the transfer of several data sets in an efficient replicable manner. This note outlines a simple step-by-step method for creating command files and provides sample code.
Release date: 2004-10-05 - Articles and reports: 11-522-X20020016729Description:
For most survey samples, if not all, we have to deal with the problem of missing values. Missing values are usually caused by nonresponse (such as refusal of participant or interviewer was unable to contact respondent) but can also be produced at the editing step of the survey in an attempt to resolve problems of inconsistent or suspect responses. The presence of missing values (nonresponse) generally leads to bias and uncertainty in the estimates. To treat this problem, the appropriate use of all available auxiliary information permits the maximum reduction of nonresponse bias and variance. During this presentation, we will define the problem, describe the methodology that SEVANI is based on and discuss potential uses of the system. We will end the discussion by presenting some examples based on real data to illustrate the theory in practice.
In practice, it is very difficult to estimate the nonresponse bias. However, it is possible to estimate the nonresponse variance by assuming that the bias is negligible. In the last decade, many methods were indeed proposed to estimate this variance, and some of these have been implemented in the System for Estimation of Variance due to Nonresponse and Imputation (SEVANI).
The methodology used to develop SEVANI is based on the theory of two-phase sampling where we assume that the second phase of selection is nonresponse. However, contrary to two-phase sampling, an imputation or nonresponse model is required for variance estimation. SEVANI also assumes that nonresponse is treated by reweighting respondent units or by imputing their missing values. Three imputation methods are considered: the imputation of an auxiliary variable, regression imputation (deterministic or random) and nearest-neighbour imputation.
Release date: 2004-09-13 - 55. Closing remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research ArchivedArticles and reports: 11-522-X20020016751Description:
Closing remarks
Release date: 2004-09-13 - 56. Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research ArchivedArticles and reports: 11-522-X20020016752Description:
Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research, presented by David Binder.
Release date: 2004-09-13 - 57. Keynote address ArchivedArticles and reports: 11-522-X20020016753Description:
Keynote Address.
Release date: 2004-09-13 - Articles and reports: 75F0002M2004001Description:
The purpose of this document is to describe the detailed methodology and assumptions behind the construction of the market basket measure (MBM) of low income. Also this document will raise some issues and highlight some data limitations related to the MBM.
The MBM represents the cost of a basket that includes a nutritious diet, clothing and footwear, shelter, transportation, and other necessary goods and services (such as personal care items or household supplies).
The MBM methodology was developed by the Federal/Provincial/Territorial Working Group on Social Development Research and Information for Human Resources Development Canada (HRDC).
Release date: 2004-02-04 - Articles and reports: 81-595-M2003011Geography: CanadaDescription:
This report presents a rethinking of the fundamental concepts used to guide statistical work on postsecondary education.
Release date: 2003-12-23 - 60. Methodological issues in the development and use of statistical indicators for International comparisons ArchivedArticles and reports: 12-001-X20030016600Description:
International comparability of Official Statistics is important for domestic uses within any country. But international comparability matters also for the international uses of statistics; in particular the development and monitoring of global policies and assessing economic and social development throughout the world. Additionally statistics are used by international agencies and bilateral technical assistance programmes to monitor the impact of technical assistance.The first part of this paper describes how statistical indicators are used by the United Nations and other agencies. The framework of statistical indicators for these purposes is described ans some issues concerning the choice and quality of these indicators are identified.In the past there has been considerable methodological research in support of Official Statistics particularly by the strongest National Statistical Offices and some academics. This has established the basic methodologies for Official Statistics and has led to considerable developments and quality improvements over time. Much has been achieved. However the focus has, to an extent, been on national uses of Official Statistics. These developments have, of course, benefited the international uses, and some specific developments have also occurred. There is however a need to foster more methodological development on the international requirements. In the second part of this paper a number of examples illustrate this need.
Release date: 2003-07-31
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