00000nam 2200000zi 4500 9.945673 CaOODSP 20250107144101 m o d f cr mn||||||||| 241127e20241127onca obs f000 0 eng d CaOODSP eng rda CaOODSP n-cn--- x9y1 CS36-28-0001/2024-11-4E-PDF Bonikowska, Aneta, author. Cumulative earnings of Black, Chinese, South Asian and White individuals born in Canada / by Aneta Bonikowska, René Morissette and Grant Schellenberg. [Ottawa] : Statistics Canada = Statistique Canada, November 27, 2024. ©2024 1 online resource (20 pages) : colour illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Economic and social reports, 2563-8955 ; v. 4, no. 11, November 2024 Issued also in French under title: Gains cumulatifs des personnes noires, chinoises, sud-asiatiques et blanches nées au Canada. "Catalogue no. 36-28-0001." "Research article." Includes bibliographical references (pages 18-20). "Previous studies of earnings differences across groups of Canadian-born individuals have used cross-sectional data, leaving unanswered the important question of what earnings differences amount to when measured over workers' lifecycle. Using data from Statistics Canada's Longitudinal Worker File and the 1996 and 2001 censuses of population, this study fills this gap and quantifies differences in cumulative earnings—the sum of earnings received over a 20-year period—for four different groups of Canadian-born individuals. The study shows that the higher cumulative earnings of Chinese (+20%) and South Asian (+15%) men (relative to White men) can be mostly or entirely accounted for by their higher education levels and their overrepresentation in science, technology, engineering, and mathematics (STEM) fields of study. Conversely, the lower cumulative earnings of Black men (relative to White men) cannot be accounted for by differences in sociodemographic characteristics, human capital, job characteristics or work histories. The higher cumulative earnings of Chinese and South Asian women relative to White women can be explained mostly or entirely by cross-group differences in these observable factors, the most important being education and representation in STEM fields. By contrast, Black and White women had similar cumulative earnings over the 20-year periods considered"--Abstract, page 1. Wages Canada Statistics. Black Canadians Finance, Personal Statistics. Chinese Canadians Finance, Personal Statistics. South Asian Canadians Finance, Personal Statistics. White people Canada Finance, Personal Statistics. Statistics lcgft Statistics Canada, issuing body. Gains cumulatifs des personnes noires, chinoises, sud-asiatiques et blanches nées au Canada / (CaOODSP)9.945674 Economic and social reports (Statistics Canada) v. 4, no. 11, November 2024. (CaOODSP)9.895760 PDF 831 KB https://publications.gc.ca/collections/collection_2024/statcan/36-28-0001/CS36-28-0001-2024-11-4-eng.pdf HTML N/A https://doi.org/10.25318/36280001202401100004-eng 36-28-0001