Women in the Top of the Income Distribution: What Can We Learn From LIS-Data?

Roman Bobilev (), Anne Boschini and Jesper Roine ()
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Roman Bobilev: Stockholm School of Economics
Jesper Roine: SITE, Stockholm School of Economics

Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, 2020, vol. 6, issue 1, No 4, 63-107

Abstract: Abstract We explore the extent to which LIS-data can be used to shed light on the presence of women in the top of the income distribution. We show developments of the share of women in top groups (P90-100 and P99-100) of the labour income distribution for 28 countries and, when possible, compare to outcomes when including capital incomes. These turn out not to matter much for the share of women in top groups with some important exceptions. Relating our findings to the existing evidence on women in the top of the income distribution based on aggregate tax data, we find that LIS-data give a relatively accurate picture of the basic findings. However, we also note that once we divide the top1 group further, samples quickly become too small to allow further study. For countries where data allows such analysis, we find that having a partner and having children are positively associated with being in top income groups for men, but negatively associated for women. However, time interactions suggest that these differences have decreased over time. Also, top income men are more likely to have partners who are not in the top of the income distribution while this is not the case for top income women. All these results are surprisingly consistent across country groups.

Keywords: Income inequality; Income distribution; Top income women; Gender inequality; Top incomes; Capital incomes (search for similar items in EconPapers)
JEL-codes: D13 D31 H20 J16 J31 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s40797-019-00108-w

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