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All (52) (10 to 20 of 52 results)
- Articles and reports: 12-001-X201600114546Description:
Adjusting the base weights using weighting classes is a standard approach for dealing with unit nonresponse. A common approach is to create nonresponse adjustments that are weighted by the inverse of the assumed response propensity of respondents within weighting classes under a quasi-randomization approach. Little and Vartivarian (2003) questioned the value of weighting the adjustment factor. In practice the models assumed are misspecified, so it is critical to understand the impact of weighting might have in this case. This paper describes the effects on nonresponse adjusted estimates of means and totals for population and domains computed using the weighted and unweighted inverse of the response propensities in stratified simple random sample designs. The performance of these estimators under different conditions such as different sample allocation, response mechanism, and population structure is evaluated. The findings show that for the scenarios considered the weighted adjustment has substantial advantages for estimating totals and using an unweighted adjustment may lead to serious biases except in very limited cases. Furthermore, unlike the unweighted estimates, the weighted estimates are not sensitive to how the sample is allocated.
Release date: 2016-06-22 - Stats in brief: 11-627-M2016002Description:
The infographic is called Demographic Estimates, Census Metropolitan Areas – Canada, 2015 and is designed to inform readers about the latest demographic growth and aging trends at the Census Metropolitan Area (CMA) level.
Release date: 2016-02-10 - 13. Adaptive survey designs to minimize survey mode effects – a case study on the Dutch Labor Force Survey ArchivedArticles and reports: 12-001-X201500214250Description:
Assessing the impact of mode effects on survey estimates has become a crucial research objective due to the increasing use of mixed-mode designs. Despite the advantages of a mixed-mode design, such as lower costs and increased coverage, there is sufficient evidence that mode effects may be large relative to the precision of a survey. They may lead to incomparable statistics in time or over population subgroups and they may increase bias. Adaptive survey designs offer a flexible mathematical framework to obtain an optimal balance between survey quality and costs. In this paper, we employ adaptive designs in order to minimize mode effects. We illustrate our optimization model by means of a case-study on the Dutch Labor Force Survey. We focus on item-dependent mode effects and we evaluate the impact on survey quality by comparison to a gold standard.
Release date: 2015-12-17 - 14. Revisions to 2006 to 2011 income data ArchivedSurveys and statistical programs – Documentation: 75F0002M2015003Description:
This note discusses revised income estimates from the Survey of Labour and Income Dynamics (SLID). These revisions to the SLID estimates make it possible to compare results from the Canadian Income Survey (CIS) to earlier years. The revisions address the issue of methodology differences between SLID and CIS.
Release date: 2015-12-17 - Articles and reports: 13-605-X201501014292Description:
This article describes the revisions to the balance of payments data and related statistical products introduced as part of the 2015 Comprehensive Revision of the Canadian System of Macroeconomic Accounts (CSMA). This exercise is conducted to strengthen the overall quality of the international accounts program and to introduce new concepts and classifications as recommended by updated international standards. The revisions are also harmonized with those of the corresponding accounts in the CSMA.
Release date: 2015-11-30 - Articles and reports: 13-605-X201500914239Description: This paper outlines the methodology being used to integrate the value of selected natural resource assets into the quarterly sectored national balance sheet accounts. It responds to recommendations in the revised United Nations System of National Accounts to include these values in the balance sheet. The addition of these asset values will significantly increase and improve measures of sectoral net worth.Release date: 2015-11-17
- Articles and reports: 75-005-M2015002Description:
This report provides information to users who wish to compare employment and unemployment estimates from the Canadian surveys (LFS and SEPH) and American surveys (CPS and CES). The aspects covered include concepts, methods, seasonal adjustment, timeliness, revisions and main uses.
Release date: 2015-10-09 - Articles and reports: 13-605-X201500814225Description:
With Canadian companies increasingly engaged in the global economy there is a growing demand for more detailed information on their international activities to better understand how Canadian businesses are expanding internationally and what the benefits/consequences are for Canada.
Outward Foreign Affiliate Statistics (FAS), which describe the activities as well as financial positions of Canadian majority-owned foreign affiliates (MOFAS), can shed light on some of these issues by going beyond the traditional realm of cross-border foreign investment statistics to articulate the activities and financial positions of Canadian enterprises that operate abroad. As an extension of statistics on foreign direct investment they can be seen as providing additional insight of the effect on economic agents in national economies in terms of earnings, productivity, employment, trade and foreign exposures resulting from an increasingly inter-connected and integrated global economy.
This paper presents some data development work on the expansion of the outward FAS program at Statistics Canada, the considerations and strategy for improvement, and provides a first look at the expanded details in the form of provisional estimates for reference year 2012.
Release date: 2015-09-15 - 19. Activities of foreign majority-owned affiliates in Canada — Provisional estimates for reference year 2011 ArchivedArticles and reports: 13-605-X201500714220Description:
Foreign Direct Investment (FDI) - both Canadian Direct Investment Abroad (CDIA) and Foreign Direct Investment in Canada (FDIC) - is a useful indicator of Canada’s level of economic globalization, allowing some insight on how interrelated our economic infrastructure is with jurisdictions in the rest of the world. These data provide information on the first level of connectivity of international inter-corporate relationships, which are closely related to trade and fragmented global production-distribution.
Foreign Affiliate Statistics are an extension of statistics on Foreign Direction Investment. They provide additional insight of the effect on economic agents in national economies in terms of earnings, productivity, employment, trade and foreign exposures resulting from an increasingly inter-connected and integrated global economy. Inward Foreign Affiliates Statistics (FAS) describe the activities as well as financial positions of Majority-Owned Domestic Affiliates (MODAs), a subset of Canadian direct investment enterprises and their consolidated subsidiaries operating in the Canadian economy. FAS are derived from international FDI concepts and frameworks. Statistics Canada’s Inward Foreign Affiliate and Trade Statistics program is closely related to expanded estimates of outward FAS, described in a separate paper. Both inward and outward FAS are part of, and this work lays the groundwork for, the development and release of a broader set of data on the Activities of Multi-National Enterprises (AMNE). This paper presents some data development work on inward foreign affiliate statistics that is a step towards shedding light on some of these issues.
This paper found that MODAs account for a significant share of assets, operating revenues and employment in the Canadian economy. Furthermore, MODAs assumed even higher shares of exports and imports of goods and services.
Release date: 2015-09-02 - Articles and reports: 12-001-X201500114173Description:
Nonresponse is present in almost all surveys and can severely bias estimates. It is usually distinguished between unit and item nonresponse. By noting that for a particular survey variable, we just have observed and unobserved values, in this work we exploit the connection between unit and item nonresponse. In particular, we assume that the factors that drive unit response are the same as those that drive item response on selected variables of interest. Response probabilities are then estimated using a latent covariate that measures the will to respond to the survey and that can explain a part of the unknown behavior of a unit to participate in the survey. This latent covariate is estimated using latent trait models. This approach is particularly relevant for sensitive items and, therefore, can handle non-ignorable nonresponse. Auxiliary information known for both respondents and nonrespondents can be included either in the latent variable model or in the response probability estimation process. The approach can also be used when auxiliary information is not available, and we focus here on this case. We propose an estimator using a reweighting system based on the previous latent covariate when no other observed auxiliary information is available. Results on its performance are encouraging from simulation studies on both real and simulated data.
Release date: 2015-06-29
Data (2)
Data (2) ((2 results))
- Public use microdata: 12M0026XDescription:
This package was designed to help users access and manipulate the public use microdata file (PUMF – provincial) for the 2014 General Social Survey (GSS) on Canadians’ Safety (Victimization). It contains the PUMF data and describes the objectives, methodology and estimation procedures for this survey as well as guidelines for releasing estimates.
Statistics Canada collected data on the topic of Canadians’ safety (Victimization) for the sixth time in 2014. Data were previously collected in 1988 (Cycle 3), 1993 (Cycle 8), 1999 (Cycle 13), 2004 (Cycle 18) and 2009 (Cycle 23). The 2014 provincial GSS collected data from persons aged 15 years and over living in private households in Canada, excluding residents of the Yukon, Northwest Territories and Nunavut and full time residents of institutions.
Between 2009 and 2014, the core content of the survey was revised in a number of ways, based on experience gained from earlier iterations. Some questions were revised to improve their clarity for respondents, and others were added or dropped following consultations with stakeholders from the justice sector, government and academic communities.
Release date: 2016-07-27 - 2. Canadian Cancer Statistics ArchivedTable: 82F0008XDescription:
The special ten year anniversary edition of Canadian cancer statistics 1997 represents a collaborative effort between Statistics Canada, the National Cancer Institute of Canada, Health Canada, the Canadian Cancer Society, and provincial/territorial cancer registries. This 71 page monograph contains estimates of cancer incidence and mortality for 1997, historical (actual and estimated) data from 1969 to 1997, and selected indicators on the burden of cancer. Estimates were produced by modelling actual cancer incidence and mortality data by province for selected cancer sites. The special topic this year is a comparison of the burden of cancer in Canada in 1997 to that reported in the first edition in 1987.
Release date: 1997-03-06
Analysis (42)
Analysis (42) (0 to 10 of 42 results)
- Articles and reports: 91F0015M2022001Description:
This study proposes an estimate of the number of Canadian citizens residing abroad (Canadian diaspora).
Release date: 2022-04-13 - Articles and reports: 12-001-X201800254958Description:
Domains (or subpopulations) with small sample sizes are called small areas. Traditional direct estimators for small areas do not provide adequate precision because the area-specific sample sizes are small. On the other hand, demand for reliable small area statistics has greatly increased. Model-based indirect estimators of small area means or totals are currently used to address difficulties with direct estimation. These estimators are based on linking models that borrow information across areas to increase the efficiency. In particular, empirical best (EB) estimators under area level and unit level linear regression models with random small area effects have received a lot of attention in the literature. Model mean squared error (MSE) of EB estimators is often used to measure the variability of the estimators. Linearization-based estimators of model MSE as well as jackknife and bootstrap estimators are widely used. On the other hand, National Statistical Agencies are often interested in estimating the design MSE of EB estimators in line with traditional design MSE estimators associated with direct estimators for large areas with adequate sample sizes. Estimators of design MSE of EB estimators can be obtained for area level models but they tend to be unstable when the area sample size is small. Composite MSE estimators are proposed in this paper and they are obtained by taking a weighted sum of the design MSE estimator and the model MSE estimator. Properties of the MSE estimators under the area level model are studied in terms of design bias, relative root mean squared error and coverage rate of confidence intervals. The case of a unit level model is also examined under simple random sampling within each area. Results of a simulation study show that the proposed composite MSE estimators provide a good compromise in estimating the design MSE.
Release date: 2018-12-20 - Articles and reports: 21-004-X201800100001Description:
The Field Crop Reporting Series provides estimates on seeded and harvested areas, yield and production. This is a series of five data collection activities where three occasions provide preliminary data for seeded areas (March) or production (July and September), and November provides final area and production estimates. This article examines the differences between the preliminary and final estimates for field crop statistics. The field crops included in this study are canola, all wheat, soybeans, barley, oats and corn for grain. The data from 2008-2018 are used for seeded area estimates while production estimates cover 2008-2017.
Release date: 2018-11-08 - Articles and reports: 11-626-X2017077Description:
On April 13, 2017, the Government of Canada tabled legislation to legalize the recreational use of cannabis by adults. This will directly impact Canada’s statistical system. The focus of this Economic Insights article is to provide experimental estimates for the volume of cannabis consumption, based on existing information on the prevalence of cannabis use. The article presents experimental estimates of the number of tonnes of cannabis consumed by age group for the period from 1960 to 2015. The experimental estimates rely on survey data from multiple sources, statistical techniques to link the sources over time, and assumptions about consumption behaviour. They are subject to revision as improved or additional data sources become available.
Release date: 2017-12-18 - 5. Retail E-Commerce in Canada ArchivedArticles and reports: 11-621-M2016101Description:
Using data from the Monthly Retail Trade survey, this article discusses the measurement of online retail sales in the retail trade sector.
Release date: 2016-11-14 - 6. Register-based sampling for household panels ArchivedArticles and reports: 12-001-X201600114544Description:
In the Netherlands, statistical information about income and wealth is based on two large scale household panels that are completely derived from administrative data. A problem with using households as sampling units in the sample design of panels is the instability of these units over time. Changes in the household composition affect the inclusion probabilities required for design-based and model-assisted inference procedures. Such problems are circumvented in the two aforementioned household panels by sampling persons, who are followed over time. At each period the household members of these sampled persons are included in the sample. This is equivalent to sampling with probabilities proportional to household size where households can be selected more than once but with a maximum equal to the number of household members. In this paper properties of this sample design are described and contrasted with the Generalized Weight Share method for indirect sampling (Lavallée 1995, 2007). Methods are illustrated with an application to the Dutch Regional Income Survey.
Release date: 2016-06-22 - Articles and reports: 12-001-X201600114545Description:
The estimation of quantiles is an important topic not only in the regression framework, but also in sampling theory. A natural alternative or addition to quantiles are expectiles. Expectiles as a generalization of the mean have become popular during the last years as they not only give a more detailed picture of the data than the ordinary mean, but also can serve as a basis to calculate quantiles by using their close relationship. We show, how to estimate expectiles under sampling with unequal probabilities and how expectiles can be used to estimate the distribution function. The resulting fitted distribution function estimator can be inverted leading to quantile estimates. We run a simulation study to investigate and compare the efficiency of the expectile based estimator.
Release date: 2016-06-22 - Articles and reports: 12-001-X201600114546Description:
Adjusting the base weights using weighting classes is a standard approach for dealing with unit nonresponse. A common approach is to create nonresponse adjustments that are weighted by the inverse of the assumed response propensity of respondents within weighting classes under a quasi-randomization approach. Little and Vartivarian (2003) questioned the value of weighting the adjustment factor. In practice the models assumed are misspecified, so it is critical to understand the impact of weighting might have in this case. This paper describes the effects on nonresponse adjusted estimates of means and totals for population and domains computed using the weighted and unweighted inverse of the response propensities in stratified simple random sample designs. The performance of these estimators under different conditions such as different sample allocation, response mechanism, and population structure is evaluated. The findings show that for the scenarios considered the weighted adjustment has substantial advantages for estimating totals and using an unweighted adjustment may lead to serious biases except in very limited cases. Furthermore, unlike the unweighted estimates, the weighted estimates are not sensitive to how the sample is allocated.
Release date: 2016-06-22 - Stats in brief: 11-627-M2016002Description:
The infographic is called Demographic Estimates, Census Metropolitan Areas – Canada, 2015 and is designed to inform readers about the latest demographic growth and aging trends at the Census Metropolitan Area (CMA) level.
Release date: 2016-02-10 - 10. Adaptive survey designs to minimize survey mode effects – a case study on the Dutch Labor Force Survey ArchivedArticles and reports: 12-001-X201500214250Description:
Assessing the impact of mode effects on survey estimates has become a crucial research objective due to the increasing use of mixed-mode designs. Despite the advantages of a mixed-mode design, such as lower costs and increased coverage, there is sufficient evidence that mode effects may be large relative to the precision of a survey. They may lead to incomparable statistics in time or over population subgroups and they may increase bias. Adaptive survey designs offer a flexible mathematical framework to obtain an optimal balance between survey quality and costs. In this paper, we employ adaptive designs in order to minimize mode effects. We illustrate our optimization model by means of a case-study on the Dutch Labor Force Survey. We focus on item-dependent mode effects and we evaluate the impact on survey quality by comparison to a gold standard.
Release date: 2015-12-17
Reference (8)
Reference (8) ((8 results))
- Notices and consultations: 11-628-XDescription: Departmental Results Reports (DRRs) are part of the Estimates family of documents. Estimates documents support appropriation acts, which specify the amounts and broad purposes for which funds can be spent by the government. The Estimates document family has three parts.
Part I (Government Expenditure Plan) provides an overview of federal spending.
Part II (Main Estimates) lists the financial resources required by individual departments, agencies and Crown corporations for the upcoming fiscal year.
Part III (Departmental Expenditure Plans) consists of two documents. Departmental Plans (DPs) are expenditure plans for each appropriated department and agency (excluding Crown corporations).
Release date: 2023-11-09 - Surveys and statistical programs – Documentation: 13-606-G201600114620Description:
An explanation of the structure and concepts of Canada’s income and expenditure accounts.
Release date: 2016-08-31 - 3. Revisions to 2006 to 2011 income data ArchivedSurveys and statistical programs – Documentation: 75F0002M2015003Description:
This note discusses revised income estimates from the Survey of Labour and Income Dynamics (SLID). These revisions to the SLID estimates make it possible to compare results from the Canadian Income Survey (CIS) to earlier years. The revisions address the issue of methodology differences between SLID and CIS.
Release date: 2015-12-17 - Notices and consultations: 13-605-X201500514171Description:
Results of the redesigned Capital and Repair Expenditures Survey were released on May 4, 2015. With this redesign, macroeconomic accounting adjustments that were previously applied to the survey results, to better align with System of National Accounts (SNA) concepts, will no longer be made. This note provides users with an overview of the concepts of capital expenditure and gross fixed capital formation (GFCF) and the adjustments that are needed in order to bring capital expenditure in line with the SNA concept of GFCF.
Release date: 2015-05-26 - Surveys and statistical programs – Documentation: 13-605-X201500414166Description:
Estimates of the underground economy by province and territory for the period 2007 to 2012 are now available for the first time. The objective of this technical note is to explain how the methodology employed to derive upper-bound estimates of the underground economy for the provinces and territories differs from that used to derive national estimates.
Release date: 2015-04-29 - Notices and consultations: 88F0006X2010001Description:
Summary of the technical workshop on Estimates of Research and Development in the Higher Education Sector (HERD), held in Ottawa on October 16, 2009. Data users and experts from universities and colleges, granting councils and provincial and federal government departments proposed general and detailed recommendations for the methodology applied in estimating the HERD.
Release date: 2010-02-26 - Surveys and statistical programs – Documentation: 13-594-GDescription: This guide provides indicators that are used to monitor supply, demand and employment for tourism in Canada on a timely basis. The guide provides information on the methods used to derive the supply, demand and employment indicators. It also provides information on the seasonal adjustment method and the derivation of constant dollar series. This guide was commissioned by the Canadian Tourism Commission (CTC), following a pilot project providing quarterly and annual updates for the Tourism Satellite Account (TSA 1988).Release date: 2001-02-21
- 8. Another measure of employment ArchivedSurveys and statistical programs – Documentation: 75-001-X19960042907Geography: CanadaDescription:
The employment/population ratio is a good barometer of the state of the economy and an important though little-used labour market indicator. This article takes a look at the ratio's strengths and limitations, as well as its variation since 1946. Provincial and international comparisons are included.
Release date: 1996-12-03
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