Analysis

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: Economic and Social Reports includes in-depth research, brief analyses, and current economic updates on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. All the papers are institutionally reviewed and the research and analytical papers undergo peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.

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: 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: 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: 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

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This study looks at those who voluntarily work part time, as well as their reasons for doing so, their levels of work-related stress, and their job characteristics.

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Businesses have embraced the use of information and communications technologies such as e-mail, and the Internet and the personal computer or PC are widely used in most businesses. Use of computers among enterprises was high at 81.9%. The Internet, originally designed as a communications medium for researchers, is now being adopted by many other groups. The Internet was used by 52.8% of enterprises and these enterprises accounted for three-quarters of economic activity.

The proportion of enterprises with Web sites was 21.7% and these enterprises account for 44.8% of economic activity for the private sector. Among other uses, the Internet was used to purchase goods and services by 13.8% of enterprises and by 10.1% to sell goods and services. Significant variation exists in the levels of information and communications technologies use across industries.

The public sector is a model user of information and communications technologies. The proportion of institutions in public health, education, and federal and provincial governments using the Internet and e-mail, and having Internet Web sites is significantly higher than it is for the private sector. Over 95 % of institutions in the public sector use the Internet, 96.6% use e-mail and 69.2% have an Internet Web site.

The volume of Internet-based sales reported was $4.4 billion, of which $4.2 billion was for the private sector and $200 million for the public sector. Total private sector Internet based sales accounted for 0.2% of economic activity in terms of total operating revenue.

For non-Internet users the most important reason for not using the Internet to purchase or sell goods or services was the belief that their goods or services do not lend themselves to concluding transactions over the Internet. Among Internet users, the most popular reason given for not using the Internet to purchase or sell was that they prefer to maintain their current business model.

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This article compares the characteristics of the 10 largest independent film and video producers, as measured by production revenues, with all the others, over a 10-year period starting in 1988/89.

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The economy was strong in 1999 and while consumers were interested in big-ticket items such as automobiles in the first quarter of the year their attention turned to services later in the year.

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Canadians exhibited a dramatic shift in their sport participation rate from 1992 to 1998. According to the latest information released from Statistics Canada's General Social Survey (GSS), fewer Canadians aged 15 years and older reported participating in a sport in 1998 than six years earlier (down almost 11 percentage points).

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In 1999, as part of its General Social Survey program, Statistics Canada conducted a survey on victimization and public perceptions of crime and the justice system. It was the third time that the General Social Survey (GSS) had examined victimization - previous surveys were conducted in 1993 and 1988.

For the 1999 survey, interviews were conducted by telephone with approximately 26,000 people, aged 15 and older, living in the 10 provinces. Respondents were asked for their opinions concerning the level of crime in their neighbourhood, their fear of crime and their views concerning the performance of the justice system. They were also asked about their experiences with criminal victimization. Those respondents who had been victims of a crime in the previous 12 months were asked for detailed information on each incident, including when and where it occurred; whether the incident was reported to the police; and how they were affected by the experience.

This Juristat presents an overview of the findings of the 1999 General Social Survey and makes comparisons to results from 1993 and 1988.

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This article looks at the fast-growing Computer Services industry in Canada, with a particular focus on software developers, data processing firms, systems consultants, and Internet service providers.

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This article examines trends in teenage pregnancy in Canada, focussing on induced abortions, live births and fetal loss among women aged 15 to 19 in 1997.

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This article examines the extent of proxy reporting in the Natiional Population Health (NPHS). It also explores associations between proxy reporting status and the prevalence of selected health problems, and investigates the relationship between changes in proxy reporting status and two-year incidence of health problems.

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This article examines associations between selected work- and non-work-related factors and the incidence of chronic back problems over the next two years.

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These highlights provide a brief summary of the report 'Employee training: an international perspective', the latest monograph released using data from the International Adult Literacy Survey. The report provides new insights into training issues in seven countries: Canada, the United States, Switzerland, the Netherlands, Poland, Germany and Sweden. The study examines full-time paid workers between the ages of 25 and 60, who had been employed for at least 42 weeks in the 12 months preceding the survey (about nine months in the previous year). (Although the self-employed account for a growing share of the work force, they are not included in the analysis.)

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A quarterly newsletter designed to keep data users and other interested persons broadly informed about the Survey of Labour and Income Dynamics. It provides updates on survey developments and issues as they arise. Every issue also includes a brief description of newly released documents in the SLID research paper series.

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The purpose of this report is to reduce the level of confusion arising from the use of crime data originating from two very different sources (i.e., the Uniform Crime Reporting Survey - UCR and the General Social Survey - GSS) and to inform discussions about which is the better measure of crime. It explains why the findings based on these data sources diverge and summarizes the major differences between the two surveys.