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: Using data from the Postsecondary Student Information System (PSIS) and the Census of Population, 2021, this infographic provides information on enrolment in Canadian public postsecondary institutions for transgender and non-binary people.

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

Description: The infographic uses data from the integrated file of the Postsecondary Student Information System, the 2016 Census, the 2021 Census and the T1 Family File to compare the job quality of Indigenous graduates with a bachelor's degree with that of non-racialized and non-Indigenous graduates two years after graduation. Job quality indicators include employment income, unionization rate, and employer pension plan coverage rate.

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 provides details about the number of graduates and median employment income two years after graduation for international postsecondary students, by educational qualification and field of study.

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: 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:

This report studies the feasibility of collecting quantitative information on organized criminal activity in Canada, including size and composition of organized crime groups, links between various criminal organizations, and types of illegal activities.

Description:

The manufacturing sector plays a major role in the Canadian economy and the destinations of shipments thus directly affects the economies of Canada and the provinces. The Destination of shipments research paper series is based on data from various years of the Annual Survey of Manufactures (ASM). The papers in this series evaluate the changes in the destinations of shipments by province and by major manufacturing group. Several key areas are covered such as: exports, interprovincial trade and relative trade balance.

Description:

The report, which represents the first phase of a special study commissioned by the National Justice Statistics Initiative, is intended as a reference document on administrative and operational policies with respect to alternative measures for both youth and adults in Canada. The study focussed on the collection of national descriptive information on the organization and delivery of youth and adult alternative measures established pursuant to the Young Offenders Act (Canada) (1984) and the Sentencing Reform Act (1996).

Topics covered include the philosophy of the alternative measures, responsibility for program delivery, referral agent, the role of the police, the Crown, and the victim, the right to legal counsel. Eligibility criteria, a flowchart outlining the alternative measures process, a description of the alternative measures agreement, the range of alternative measures, the supervision of and completion of the agreement, and information regarding record keeping requirements. Where available, appendices have been attached that provide samples of forms currently in use in the jurisdiction as well as any currently available alternative measures data. It is important to note that data contained in the jurisdictional appendices are provided as a sample only. No analysis has been performed on the data nor have any inter-jurisdictional comparisons been made as there has been no attempt to ensure standard definition or time frames for the data.

Description:

This publication outlines a five-year strategic plan for the development of an information system for science and technology.

Description:

New firms are seen to play a key role in the innovation process, especially in certain key sectors of the economy. This study therefore examines the differences in the profiles of successful new firms in science-based industries and other industries. The firms that are examined are entrants who survey into their early teen years. The study examines numerous factors that are seen to influence the success of new businesses. These include the competitive environment, business strategies and the financial structure of the businesses.

Successful new firms in science-based industries are found to differ in a number of dimensions from new firms in other industries. They are more likely to be exporters. They face greater technological change and intense competition with regards to the rate at which new products are being introduced. They tend to put more emphasis on quality, the frequent introduction of new products and the customization of products. They make greater use of information technology. They place more stress on new technology development, research and development facilities and the use of intellectual property. They are much more likely to innovate and they place more importance on recruiting skilled labour and on training. Finally, they are more likely to use non-traditional financial measures to evaluate performance and they are less likely to rely on secured credit for financing both their research and development activity and their machinery and equipment that are firms in other sectors.

Description:

This study describes people who were incarcerated in federal and provincial/territorial adult facilities at midnight on October 5, 1996. A census was used to gather data on facilities, inmates and security issues.

Description:

The framework described here is intended as a basic operational instrument for systematic development of statistical information respecting the evolution of science and technology and its interactions with the society, the economy and the political system of which it is a part.

Description:

This report has two components. The first is an analytical component which examines trends in police personnel and expenditures at the national, provincial and census metropolitan area (CMA) levels, including data by rank and gender. Appropriate context is also included in terms of recent developments in the police community such as community policing and private security.

The second component is a tabular component which summarizes crime, personnel and expenditure statistics for all municipal police departments in Canada. Key ratios such as per officer strengths, per capita costs, clearance rates, and violent and property crime rates are included for each force.

Justice issues addressed: Policing accounts for approximately 60% of all justice expenditures. While crime remains high on the list of public concerns, governments have been forced to make cuts to most public sector areas, including policing. The analysis of trends in key ratios such as per capita costs, population per officer, police to civilian ratios, and the number of offences per officer can help shed some light on how the police community has responded to this changing environment.

Description:

Innovation is at the heart of economic growth and development. It is through innovation that new products are brought to market, new production processes developed and organizational change realized. Given existing cross-industry variations in structure, competitiveness and maturity, it is reasonable to expect that firms in different industries will innovate for different reasons, in different ways and with different results. This report focuses on how the innovation activities of firms in three dynamic service industries are conditioned by their different environments.

Through an understanding of what competitive pressures come into play and how these pressures affect the type of innovation that is performed, Innovation in dynamic service industries goes some way in illustrating how innovation regimes differ substantially, and quite logically, from one industry to another.

This is the fifth in the series of publications on innovation and technological change in Canada. One of the earlier studies investigated the type of innovation taking place in the manufacturing sector (Baldwin and Da Pont, Innovation in Canadian manufacturing enterprises, Catalogue No. 88-513-XPB). Two others focused on advanced manufacturing technologies. The first (Baldwin and Sabourin, Technology adoption in Canadian manufacturing, Catalogue No. 88-512-XPB) outlined the intensity of use of these technologies. The second (Baldwin, Sabourin, and Rafiquzzaman, Benefits and problems associated with technology adoption, Catalogue No. 88-514-XPE) investigated the determinants of adoption. Another study (Baldwin, Innovation and intellectual property, Catalogue No. 88-515-XPE) examined how innovative firms protect their intellectual property after they have innovated.

Description:

This publication presents information on youth crime and young offenders, including rates of crime, characteristics of young offenders and their victims, youth court cases, youth corrections, and repeat offenders.