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Description: One of the main investments individuals can make throughout their lives is the decision to pursue a postsecondary education. The purpose of this article is to present results from the 2021 Census of Population on the most prevalent occupations held by graduates of various college and CEGEP certificate and diploma programs who were aged 25 to 34.

Description: This article highlights data and analysis at Statistics Canada that can be used to explore linkages between innovation, technology adoption and productivity. It draws on new estimates from the agency’s productivity research program, along with recent surveys that examine the innovation and technological stance of Canadian businesses.

Description: The Environmental and Clean Technology (ECT) sector in Canada plays a significant role in the nation's economy and efforts to combat climate change. Statistics Canada defines the ECT sector as encompassing activities related to environmental protection, resource optimization, and the use of energy-efficient goods. This study uses data from the Environmental and Clean Technology Products Economic Account to provide a comprehensive analysis of the sector's workforce diversity.

Description: The Office of the Auditor General of Canada has called for an examination of the degree to which Canada’s hard-to-reach populations receive the government benefits they are entitled to. This study assesses the degree to which immigrant couples who landed in Canada with young children from 2016 to 2019 received the Canada child benefit (CCB) in the year following landing.

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 web application provides access to data on the sales of food services and drinking places for Canada, provinces and territories. This dynamic application allows users to compare provincial and territorial data with interactive maps and charts. All data in this release are seasonally adjusted and expressed in current dollars.

Description:

This web application provides access to new housing prices data for Canada and 27 census metropolitan areas (CMA). The maps, charts and tables draw from information collected from respondents who provide information on Canada's new housing prices. The interactive dashboard allows users to visualize statistics on new housing prices' monthly and annual movements and on rankings by CMAs of the largest monthly price movements.

Description: This presentation explores linkages between innovation, technology adoption and productivity. It highlights recent estimates of labour and multifactor productivity growth, drawing on recent surveys that can be used to profile the innovation and technological stance of Canadian businesses. It is intended to support ongoing research on the competitiveness of Canada’s economy.

Description: This web application provides access to data on the sales of food services and drinking places for Canada, provinces and territories. This dynamic application allows users to compare provincial and territorial data with interactive maps and charts. All data in this release are seasonally adjusted and expressed in current dollars.

Description:

This web application provides access to new housing prices data for Canada and 27 census metropolitan areas (CMA). The maps, charts and tables draw from information collected from respondents who provide information on Canada's new housing prices. The interactive dashboard allows users to visualize statistics on new housing prices' monthly and annual movements and on rankings by CMAs of the largest monthly price movements.

Description: Statistics Canada produces a variety of interactive visualization tools that present data in a graphical form. These tools provide a useful way of interpreting trends behind our data on various social and economic topics.

Description:

Monthly gross new issues, retirements and net new issues of debt securities, including direct and guaranteed bonds, Treasury Bills, and Canada Bills, by geography for the Government of Canada. Also included historical data by security type (common stocks, preferred stocks, trust units, bonds, treasury bills, commercial paper, and term securitizations), and by issuer type (provincial, municipal, corporate, institutions, and foreign debtors).

Description:

Month-end Government of Canada direct bonds outstanding data by currency. Also included historical data by currency for provinces, municipalities, corporations and other institutions.

Description: This table contains 39 series, with data for starting from 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).

Description:

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

Description:

New housing price index (NHPI). Monthly data are available from February 1981. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (201612=100).

Description: Seasonally adjusted receipts of monthly survey of food services and drinking places, by North American Industry Classification System (NAICS), monthly, for five months of data.

Description:

Weekly Itinerant aircraft movements (domestic, transborder and international), total of all Canadian airports with NAV CANADA towers.

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

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: Our comments respond to discussion from Sen, Brick, and Elliott. We weigh the potential upside and downside of Sen’s suggestion of using machine learning to identify bogus respondents through interactions and improbable combinations of variables. We join Brick in reflecting on bogus respondents’ impact on the state of commercial nonprobability surveys. Finally, we consider Elliott’s discussion of solutions to the challenge raised in our study.

Description:

The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which uses Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition. The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.

Description: 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).

Description: The Fees Report must be tabled in parliament annually, as per the Service Fees Act, which came into force in June 2017. The Service Fees Act introduces a modern legislative framework that enables cost-effective delivery of services and, through enhanced reporting to Parliament, improved transparency and oversight.

Description: With the 2015 comprehensive revision, the Canadian System of Macroeconomic Accounts (CSMA) has introduced a major presentational change to the national and the provincial and territorial input-output tables. The previous CSMA input-output presentation differed from the international standard and the practice found in most national statistical organizations. The CSMA has aligned its presentation with the international standard and replaces the presentation found in catalogues 15F0041X and 15F0042X, as well as 15F0002X.

Description: This document provides information on the evolution of response rates for the Labour Force Survey (LFS) and a discussion of the evaluation of two aspects of data quality that ensure the LFS estimates continue providing an accurate portrait of the Canadian labour market.

Description: This product contains contiguously settled area (CSA) boundaries for a subset of Canadian population centres for 2010 and 2020 with user documentation. The CSA boundaries are derived from land cover data and represent the geographic extent of settled areas based on their physical footprint on the landscape. The boundaries can be used for reference, mapping and spatial analysis of settled areas and urban ecosystems. The CSA boundaries are created and maintained under the umbrella of the Census of Environment, and will support Statistics Canada's ecosystem accounting efforts.

Description: This product contains boundary files and user documentation for environmental analysis using geographical information systems (GIS).

Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.

Description:

This report describes sampling, weighting and estimation procedures used in the Census of Population. It provides operational and theoretical justifications for them, and presents the results of the evaluations of these procedures.

Description: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.