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: The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.

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.

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Gross domestic expenditures on research and development (GERD) represents total R&D expenditures performed in a country's national territory during a given year.

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Since the late seventies, 25 to 29 year-olds with only a secondary school education have had more difficulty finding employment, and much more difficulty obtaining well-paid work. A glance at the changes over time in the labour market "success" of 25 to 29 year-old secondary school graduates.

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Following normal practice, the annual revision of the National Economic and Financial Accounts has been carried out and the revised estimates have been released along with those for the first quarter of 1995. This annual revision of the different parts of the System of National Accounts is an integrated process, with revised estimates of the Income and Expenditure Accounts, Financial Flow Accounts and the Balance of International Payments being released simultaneously. Corresponding revisions to the monthly estimates of gross domestic product (GDP), by industry and to the Input-Output Accounts at current and constant prices will be completed in August.

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A comparison of the employment characteristics of women born in the early years of the baby boom with those of women born in the later years.

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There has been growing interest in recent years about the scope of tourism in Canada. In response to this demand for information, Statistics Canada has developed a Tourism Satellite Account (TSA) which provides some answers to questions such as: Which industries constitute 'the tourism industry'? What are the industry's gross domestic product (GDP) and employment rates? And what is the extent of tourism-related expenditures?

This article reports on the research that Statistics Canada has undertaken as part of an ongoing examination of the tourism industry.

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Revised estimates of the Income and Expenditure Accounts (IEA) covering 1990 to 1993 have been released along with the estimates for the first quarter of 1994. These revised estimates reflect the most current source data and seasonal patterns. The annual revision of the different parts of the System of National Accounts is an integrated process. Revised estimates of two other parts of the system, the Balance of International Payments and Financial Flow Accounts, have been released simultaneously. Corresponding revisions to the monthly estimates of the gross domestic product (GDP), by industry and to the Input-Output Accounts at current and constant prices will be available at the end of August.

The first section of this paper reviews the current revisions to the GDP and the main aggregates. The second section analyses the revision patterns of selected income and expenditure aggregates of the GDP over the period 1980 to 1993. For further information on sources, methods and definitions employed in the IE A, refer to the Guide to the Income and Expenditure Accounts, Catalogue no. 13-603E, no. 1.

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Revised estimates of the Income and Expenditure Accounts covering 1989 to 1992 have been released along with the estimates for the first quarter of 1993. These revised estimates reflect the most current source data and seasonal patterns. The annual revision of the different parts of the System of the National Accounts is an integrated process. As such, revised estimates of two other parts of the system -- the Balance of International Payments and Financial Flow Accounts -- have been released simultaneously. Corresponding revisions to the monthly estimates of Gross Domestic Product by Industry and to the Input-Output Accounts at current and constant prices are also available.

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This overview highlights the results from the survey of Work Arrangements.

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A glance at the wage trends of unionized workers over the last 13 years.

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An examination of trends in unemployment rate data as far back as 1921.

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In a recent Statistics Canada survey, 77% of Canadian plant managers felt their production technology was as good as their domestic competitors. Against their U.S. counterparts, they were less confident: only 57% of Canadian firms believed their technologies were as good as their American competitors. The survey also reveals that 70% firms used the Internet and 60% had a "home page" on the World Wide Web.

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In 1996, larger financial services companies were the most likely to use the Internet for communications, research and e-commerce. During that year, 73% of banks were using the Internet whereas less than half of the property and casualty insurance companies were connected. E-commerce was undertaken by only 17% of the connected firms whereas 70% was using e-mail and 86% was conducting web searches. Internet users were more innovative and introduced more new products than non-users.

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In 1999, the federal government expects to fund 19.4% of the R&D in Canada. Less and less of the government-funded R&D is taking place in government labs. Although overall spending on R&D will increase from $3.5 billion to $4.0 billion, the share of this going to the government research has dropped from 59% to 52%.

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You thought it was obvious but the ICT sector that everyone is talking about hasn't had an official definition - until now. We sorted through the SIC (1980) codes and selected 20 that fit. Next issue - the NAICS-based definitions.

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Our jobs, communities, leisure activities and patterns of commerce are changing at a dizzying pace - the Internet is literally transforming the way we live, work and play. In 1998, 36% of Canadian households were regular users of computer communication - up sharply from 29% in 1997. And the technology revolution is not over yet!

Description:

Gross domestic product expenditures on R&D (GERD) for 1999 increased by 3.5% to $14.9 billion over the previous year. Despite this increase, the proportion of GDP devoted to R&D (1.6%) is still among the lowest of the G-7 countries.

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A Statistics Canada study uses business demographics to learn about innovation and technological change and uncovers interesting patterns. Contrary to expectations, the author uncovered considerable volatility (start-ups and closures) in the service sector. The volatility rate for this sector was 31% compared with 23% for the manufacturing sector. Firms that do not innovate frequently are replaced by new ones that have new or improved products to offer or by those that employ more efficient methods of production and delivery.

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Some analysts suggest that biotechnology may trigger a revolution equal to the one prompted by information technology. Various sectors of Canadian industry are already actively using biotechnologies for purposes ranging from research and development to pollution control. Many still see obstacles to adopting new biotechnologies including lack of information and government regulation.

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In the first part of this study, we will explore the development of the ski industry in Canada, after taking a short historical detour. In part two we will examine the characteristics of American travellers who visited Canadian ski areas (to ski or snowboard) during an overnight stay in Canada in the winter of 1998-99. Lastly, we will take a quick look at some characteristics of the overseas skier/snowboarder and at their contribution to the Canadian economy.

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This paper looks at trends in rural employment in Canada and compares them with trends for other Organisation for Economic Co-operation and Development (OECD) countries.

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Each issue of Health at a Glance consists of a short non-technical article on topics that feature statistics from health-related surveys and administrative data.

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The National Apprenticeship Survey (NAS) looks at factors affecting the completion, certification and transition of apprentices to the labour market. The survey was a collaborative effort on the part of Employment and Social Development Canada (ESDC) and Statistics Canada. It is hoped that the findings will contribute to the ongoing dialogue by governments, industry and unions to ensure that the apprenticeship systems in Canada continue to respond to the demands of the 21st Century.

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This series of analytical reports provides an overview of the labour market conditions among the Aboriginal off-reserve populations, based on estimates from the Labour Force Survey. These reports examine the Aboriginal labour force characteristics by Aboriginal identity, as well as diverse socio-economic and employment characteristics.

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These analytical products present projections of the diversity of the Canadian population. The purpose of these projections is to paint a potential portrait of the composition of Canada’s population according to different ethnocultural and language characteristics, if certain population growth scenarios were to become reality in the future. Produced using Demosim, a microsimulation model, these projections cover characteristics such as place of birth, generation status, visible minority group, religion and mother tongue.

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This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.

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The software is a free and user-friendly application which enables exporters and their agents (including service providers) to electronically report their goods directly to the Government of Canada thus eliminating the manual reporting process form (B13A). The CAED software features a Harmonized system commodity classification search, built-in encryption software, memorisable screens, extensive on-line help and Internet transmission capabilities.

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This publication is a catalogue of strategies and mechanisms that a statistical organization should consider adopting, according to its particular context. This compendium is based on lessons learned and best practices of leadership and management of statistical agencies within the scope of Statistics Canada’s International Statistical Fellowship Program (ISFP). It contains four broad sections including, characteristics of an effective national statistical system; core management practices; improving, modernizing and finding efficiencies; and, strategies to better inform and engage key stakeholders.

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This product is a series of geographic profiles that include provinces and territories as well as the four Inuit regions of Inuit Nunangat. This series presents a summary of characteristics about the Aboriginal population living in these areas. Demographic data and information on living arrangements of children, education, employment, income, housing, health and language are highlighted. Data for each Aboriginal group, as well as data for the non-Aboriginal population, are provided separately for select variables. Findings are based on the 2011 National Household Survey, the 2012 Canadian Community Health Survey, and the 2012 Aboriginal Peoples Survey.

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The objective of this document is to present a proposed Statistical Framework for Energy in Canada, which will help guide data providers and users in the development of a strategic plan for addressing priority elements of the proposed framework.

The framework is intended to apply to energy statistics in Canada in general, with application across a broad range of stakeholders involved in the collection, dissemination and use of energy statistics, including provincial and territorial administrative and statistical agencies.

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Aboriginal Statistics at a Glance provides data users with a thematic guide to Aboriginal data at Statistics Canada. It includes data for the First Nations (North American Indian), Métis, and Inuit populations. Each theme is illustrated with a chart presenting key indicators, a plain language definition of the indicator and links to related data tables and published articles to further assist users in meeting their data needs. Data sources include the 1996, 2001 and 2006 censuses of population, the 2006 Aboriginal Peoples Survey, the 2005 Canadian Community Health Survey, and the 2007/2008 Adult Correctional Services Survey.