Summary
This workshop will provide a detailed exploration of the Canadian Employer-Employee Dynamics Database (CEEDD) and its subset, the Business Employee Analytical Microdata (BEAM). Participants will gain a deeper understanding of the structure and features of these datasets. The session will highlight the distinctions between the CEEDD and BEAM, alongside examples of research that have been undertaken using these resources.
Topics
Part 1: Exploring the Structure and Research Potential of the CEEDD and BEAM
The first part of the workshop will examine the structure of the CEEDD and its subset, the BEAM. The session will highlight the key differences between the CEEDD and BEAM, focusing on their unique features and complementary strengths. Participants will also explore the wide range of research opportunities enabled by these datasets. Illustrative examples will demonstrate how the CEEDD and BEAM can be leveraged to address critical social, economic and policy questions, underscoring their value for both academic and applied research.
Part 2: Examples of research using Statistics Canada’s matched employer-employee data
Adapting to Change: The COVID-19 Impact on Self-Employment Transitions in Canada
This paper leverages the CEEDD for the period 2017–2021 to examine the impact of the COVID-19 pandemic on the dynamics of self-employment entry and exit. Specifically, it quantifies how the pandemic acted as a trigger for transitions into and out of self-employment. The analysis focuses on changes in the class of worker—paid employment (PE), unincorporated self-employment (USE), and incorporated business ownership (IBO)—at the individual level during the study period. Additionally, the study investigates the influence of pre-pandemic worker characteristics on job transition choices, such as shifts from PE to either USE or IBO, and vice versa.
Impact of job displacement on earnings of workers in high-emission industries in Canada
As Canada and some other countries from the Organisation for Economic Co-operation and Development (OECD) transition towards a net-zero greenhouse gas (GHG) emission economy, there may be concerns regarding its implications on jobs and hence earnings of workers employed in GHG-intensive industries. Statistics Canada participated in an OECD study using matched employer-employee data across 14 OECD countries to examine the impact of job displacement on earnings trajectories of workers in high-emission industries. High-emission industries represented approximately 10% of employment in Canada from 2001 to 2019.