Income inequality in Canada from 1982 to 2021: evidence from distributional national accounts

Silas Xuereb, Matthew Fisher-Post, Francois Delorme and Camille Lajoie

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: In this article, we estimate the distribution of all net national income in Canada from 1982 to 2021. We apply distributional national accounts (DINA) methodology to tabulated data from the Longitudinal Administrative Databank, combined with national accounts and survey data. Our descriptive results contribute to a more thorough understanding of income inequality in Canada over the past 40 years. We find that top income shares published by Statistics Canada tend to be underestimated relative to top income shares calculated using DINA, because DINA account for people who do not file taxes and for undistributed capital income that is retained in corporations. In line with previous research, income inequality in Canada increased significantly from 1982 until the mid-2000s. Although labour income drove initial growth in top shares, toward the end of this period capital income contributed most to growth in top shares. Top shares based on tax data were especially underestimated during this period because retained earnings were at their highest. Since the mid-2000s, top shares have decreased slightly and the income share of the bottom 50 percent has increased, although they have not returned to the levels observed in the early 1980s. During the pandemic, post-tax income inequality fell because of the large temporary transfer programs that were introduced. However, pre-tax income inequality increased in 2020, and even more so in 2021 when record levels of corporate profits were reached.

Keywords: income inequality; distribution; national accounts; labour; capital; top shares (search for similar items in EconPapers)
JEL-codes: D31 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2025-03-01
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Published in Canadian Public Policy, 1, March, 2025, 51(1), pp. 1 - 15. ISSN: 0317-0861

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