Analysis

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2024 basket update, based on 2023 expenditure weights.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Labour Statistics at a Glance features short analytical articles on specific topics of interest related to Canada's labour market. The studies examine recent or historical trends using data produced by the Centre for Labour Market Information, i.e., the Labour Force Survey, the Survey of Employment Payrolls and Hours, the Job Vacancy and Wage Survey, the Employment Insurance Coverage Survey and the Employment Insurance Statistics Program.

Description: With the proportion of small businesses making up nearly all of the employer businesses in Canada, small businesses are an important role in employing Canadians and are a significant driver towards economic recovery. This article provides insights on the expectations of small businesses as well as the unique conditions faced by these businesses in the second quarter of 2024. It involves an examination of the data produced by the Canadian Survey on Business Conditions.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This article examines trends in rates of employment and unemployment, as well as hourly wages and work hours, for the year 2023, and explores how disability intersects with age, sex, educational attainment, and racialized groups to influence labour market outcomes.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This infographic details the prevalence of vitamin D inadequacy among the Canadian population aged 3 to 79 by focusing on risk factors as well as behaviours that can reduce the likelihood of low vitamin D.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: A series of articles on various subjects which explore the impact of COVID-19 on the socio-economic landscape. New articles will be released periodically.

Description: This article provides insights into the rates of COVID-19 mortality among First Nations peoples and Métis living in private dwellings and the social determinants of COVID-19 mortality among these populations using data from the 2016 Canadian Census Health and Environment Cohorts linked to the Canadian Vital Statistics – Death Database from 2016 to 2021.

Description: Approximately one in four individuals in Canada is currently or has been a landed immigrant or permanent resident. From 2016 to 2021, about 1.3 million new immigrants arrived in Canada and accounted for 80% of the growth in the labour force. Alongside increases in immigrants, there has been a rise in same-sex couples within Canada. This study explores select sociodemographic and economic characteristics of immigrants in same-sex couples compared with their counterparts in opposite-sex couples from 2000 to 2020.

Description: This study presents an updated sociodemographic profile of children aged 0 to 14 years with affirmative responses largely based on parent reports to the questions on the 2021 Census long-form questionnaire about difficulties with activities of daily living.

Description: Inspired by the two excellent discussions of our paper, we offer some new insights and developments into the problem of estimating participation probabilities for non-probability samples. First, we propose an improvement of the method of Chen, Li and Wu (2020), based on best linear unbiased estimation theory, that more efficiently leverages the available probability and non-probability sample data. We also develop a sample likelihood approach, similar in spirit to the method of Elliott (2009), that properly accounts for the overlap between both samples when it can be identified in at least one of the samples. We use best linear unbiased prediction theory to handle the scenario where the overlap is unknown. Interestingly, our two proposed approaches coincide in the case of unknown overlap. Then, we show that many existing methods can be obtained as a special case of a general unbiased estimating function. Finally, we conclude with some comments on nonparametric estimation of participation probabilities.

Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.

Description: Beaumont, Bosa, Brennan, Charlebois and Chu (2024) propose innovative model selection approaches for estimation of participation probabilities for non-probability sample units. We focus our discussion on the choice of a likelihood and parameterization of the model, which are key for the effectiveness of the techniques developed in the paper. We consider alternative likelihood and pseudo-likelihood based methods for estimation of participation probabilities and present simulations implementing and comparing the AIC based variable selection. We demonstrate that, under important practical scenarios, the approach based on a likelihood formulated over the observed pooled non-probability and probability samples performed better than the pseudo-likelihood based alternatives. The contrast in sensitivity of the AIC criteria is especially large for small probability sample sizes and low overlap in covariates domains.

Description: Non-probability samples are being increasingly explored in National Statistical Offices as an alternative to probability samples. However, it is well known that the use of a non-probability sample alone may produce estimates with significant bias due to the unknown nature of the underlying selection mechanism. Bias reduction can be achieved by integrating data from the non-probability sample with data from a probability sample provided that both samples contain auxiliary variables in common. We focus on inverse probability weighting methods, which involve modelling the probability of participation in the non-probability sample. First, we consider the logistic model along with pseudo maximum likelihood estimation. We propose a variable selection procedure based on a modified Akaike Information Criterion (AIC) that properly accounts for the data structure and the probability sampling design. We also propose a simple rank-based method of forming homogeneous post-strata. Then, we extend the Classification and Regression Trees (CART) algorithm to this data integration scenario, while again properly accounting for the probability sampling design. A bootstrap variance estimator is proposed that reflects two sources of variability: the probability sampling design and the participation model. Our methods are illustrated using Statistics Canada’s crowdsourcing and survey data.

Description: In this rejoinder, I address the comments from the discussants, Dr. Takumi Saegusa, Dr. Jae-Kwang Kim and Ms. Yonghyun Kwon. Dr. Saegusa’s comments about the differences between the conditional exchangeability (CE) assumption for causal inferences versus the CE assumption for finite population inferences using nonprobability samples, and the distinction between design-based versus model-based approaches for finite population inference using nonprobability samples, are elaborated and clarified in the context of my paper. Subsequently, I respond to Dr. Kim and Ms. Kwon’s comprehensive framework for categorizing existing approaches for estimating propensity scores (PS) into conditional and unconditional approaches. I expand their simulation studies to vary the sampling weights, allow for misspecified PS models, and include an additional estimator, i.e., scaled adjusted logistic propensity estimator (Wang, Valliant and Li (2021), denoted by sWBS). In my simulations, it is observed that the sWBS estimator consistently outperforms or is comparable to the other estimators under the misspecified PS model. The sWBS, as well as WBS or ABS described in my paper, do not assume that the overlapped units in both the nonprobability and probability reference samples are negligible, nor do they require the identification of overlap units as needed by the estimators proposed by Dr. Kim and Ms. Kwon.

Description: In some of non-probability sample literature, the conditional exchangeability assumption is considered to be necessary for valid statistical inference. This assumption is rooted in causal inference though its potential outcome framework differs greatly from that of non-probability samples. We describe similarities and differences of two frameworks and discuss issues to consider when adopting the conditional exchangeability assumption in non-probability sample setups. We also discuss the role of finite population inference in different approaches of propensity scores and outcome regression modeling to non-probability samples.

Description: Pseudo weight construction for data integration can be understood in the two-phase sampling framework. Using the two-phase sampling framework, we discuss two approaches to the estimation of propensity scores and develop a new way to construct the propensity score function for data integration using the conditional maximum likelihood method. Results from a limited simulation study are also presented.

Description: Nonprobability samples emerge rapidly to address time-sensitive priority topics in different areas. These data are timely but subject to selection bias. To reduce selection bias, there has been wide literature in survey research investigating the use of propensity-score (PS) adjustment methods to improve the population representativeness of nonprobability samples, using probability-based survey samples as external references. Conditional exchangeability (CE) assumption is one of the key assumptions required by PS-based adjustment methods. In this paper, I first explore the validity of the CE assumption conditional on various balancing score estimates that are used in existing PS-based adjustment methods. An adaptive balancing score is proposed for unbiased estimation of population means. The population mean estimators under the three CE assumptions are evaluated via Monte Carlo simulation studies and illustrated using the NIH SARS-CoV-2 seroprevalence study to estimate the proportion of U.S. adults with COVID-19 antibodies from April 01-August 04, 2020.

Description:

In 1997, the rubber products industries (Major Group 15) increased the value of its shipments by 7.7% from the previous year. According to the Monthly Survey of Manufacturing (MSM), shipments grew an additional 6.6% in 1998. This strength is largely due to low inflation, low interest rates, increased exports and increased demand for automobiles.

This document presents an overview of rubber products manufacturing in Canada and highlights key factors which have contributed to its improved performance over the last few years. Most of the data presented are based on the 1997 Annual Survey of Manufactures (ASM).

Description:

This report presents results from the Survey of 1995 Graduates Who Moved to the United States. Both the survey and this report were conducted in partnership between Human Resources Development Canada (HRDC) and Statistics Canada. The survey covered post-secondary graduates from the class of '95 who moved to the U.S. between graduation and the summer of 1997. These graduates were surveyed to obtain information on their characteristics, reasons for relocating to the U.S., education and work experiences, and plans for the future.

This report is also available on HRDC's web site at: www.hrdc-drhc.gc.ca/arb. Additional reports on the experience of post-secondary graduates are also available on the same web site.

Description:

This document is an examination of the present use of two case management tools in the Canadian civil courts: time limits and formal notification requirements. Time limits refer to the established time periods outlined for the conclusion of critical steps in the litigation process. These address individual case movement in the court system. Formal notification requirements relate to an obligation by the parties to notify the court when an action has terminated. These requirements serve to inform overall case disposition irrespective of any target disposition dates that may be in effect.

The current study examines the situation in Canadian provinces and territories with respect to the existence and observance of time limits and formal notification requirements. This examination is timely because a number of jurisdictions are presently engaged in building or modifying automated case management systems. As well, many jurisdictions are re-examining case management in an attempt to increase the speed of case processing and lessen backlog in the courts.

Description:

This publication presents data from four special studies conducted in Canadian civil courts by Statistics Canada's Canadian Centre for Justice Statistics.

Description:

The second edition of Historical statistics of Canada was jointly produced by the Social Science Federation of Canada and Statistics Canada in 1983. This volume contains about 1,088 statistical tables on the social, economic and institutional conditions of Canada from the start of Confederation in 1867 to the mid-1970s. The tables are arranged in sections with an introduction explaining the content of each section, the principal sources of data for each table, and general explanatory notes regarding the statistics. In most cases, there is sufficient description of the individual series to enable the reader to use them without consulting the numerous basic sources referenced in the publication.

The electronic version of this historical publication is accessible on the Internet site of Statistics Canada as a free downloadable document: text as HTML pages and all tables as individual spreadsheets in a comma delimited format (CSV) (which allows online viewing or downloading).

Description:

The Employment Insurance Coverage Survey was conducted during 4 months of 1998 to provide information on the ceverage of the jobless and part-time worker population by Employment Insurance. It is a survey of individuals sampled from Labour Force Survey participants; these were interviewed by telephone. The report attempts to answer the following questions: How many unemployed persons has insurable employment? How many have access to the benefits provided by EI? How many are eligible for benefits? Those not covered or not receiving benefits are identified. Finally, what are the alternative sources of revenue of the unemployed? This report analyses the main findings from the survey for Canada. It compares outcomes to the previous years' results. It also presents some beneficiary/unemployed ratio data to put the results in a historical context.

Description:

The results of special business surveys conducted on a cost-recovery basis on behalf of clients outside Statistics Canada are published in this series, one issue per survey. The first issue presents the results of the 1995 Survey of Practices in Support of Quality Services in the Federal Public Service.

Description:

The leather and allied products major group includes four industries, the most important of which is the footwear industry. These industries have experienced problems causing a steady shrinkage, which began in the 1960s and continued up to 1996. In 1997, shipments of manufactured goods increased by 6% compared to a 4% drop the previous year. This paper, based mainly on the results of the 1996 Annual Survey of Manufactures (ASM), examines some of the factors affecting these industries and compares their performance with that of the manufacturing sector overall.

Description:

The Youth Custody and Community Services (YCCS) Survey is a micro-data survey, conducted annually since 1992. The YCCS survey collects data from jurisdictional operational systems via electronic interfaces. Data are forwarded to the Centre, processed, and returned to jurisdictions as aggregate data tables for verification and sign-off. The survey collects a wide array of information on young offender admissions to custody and community services (e.g., custody type, crime committed, sentence length, age, gender, Aboriginal/non-Aboriginal). The YCCS annual report is the primary vehicle for disseminating young offender information on prison populations and the use of community sanctions. To date, there have been four releases (Initiative only) of the YCCS annual report. Jurisdictional coverage varied from report to report since YCCS interfaces were phased-in over several years.

Interface projects have been completed, and data are being collected from Newfoundland, Prince Edward Island, New Brunswick, Manitoba, Alberta, British Columbia, and Yukon. In addition, the interface project for Nova Scotia is nearing completion. Together, these jurisdictions represent 47% of the national coverage of youth corrections. While the development of an electronic interface is presently not feasible in some jurisdictions, Ontario and Quebec are able to provide some of the aggregate data required to populate the tables contained in the annual report. With the addition of Ontario and Quebec in 1998-99, only data from Saskatchewan and the Northwest Territories would be missing from the annual report.

Further, in preparation for the proposed release of YCCS data, and as part of Statistics Canada's ongoing survey review process, the YCCS survey is currently undergoing a detailed methodological review, with particular attention to data quality issues and output.

The inclusion of aggregate data from Ontario and Quebec will increase the coverage of the YCCS significantly. Also, the methodological review of the YCCS will assess the reliability of the data elements covered in the annual report. Since the survey has been in operation since 1992 and since the YCCS is the primary source of young offender information on prison populations and the use of community sanctions.

Description:

This report, revised in May 1999, describes the Electronic Publications Pilot (EPP) which was conducted to gather knowledge on how library staff and their clients are adjusting to the Internet. The pilot was conducted from September 1996 to September 1997 as a joint initiative of Statistics Canada and the Depository Services Program (DSP), in partnership with the depository library community. The objective of the pilot was to assess the impact of replacing print publications with electronic equivalents via the Internet in DSP libraries. This objective was based on an assumption that the electronic medium will complement print rather than replace it entirely and that departments will continue to produce some print publications in the future. The major conclusions of the pilot cover resources and training, web site feedback, selection of publications for conversion to electronic format, web site access and security, publication functionality and access and archiving.