r 2018
DOI: 10.20955/r.100.237-57
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Top Earners: Cross-Country Facts

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Cited by 5 publications
(5 citation statements)
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“…Most importantly, however, earnings distributions display thinner upper tails than the wealth distribution. The tail indices of earnings reported by Badel, Dayl, Huggett and Nybom (2016) are about 2 for the US and Canada, and close to 3 for Sweden. Corresponding tail indices for wealth are about 1:5 for the U.S.(Vermeulen (2015)) , 1:4 for Canada and 1:7 for Sweden (Cowell, 2011).…”
Section: Skewed Earningsmentioning
confidence: 83%
“…Most importantly, however, earnings distributions display thinner upper tails than the wealth distribution. The tail indices of earnings reported by Badel, Dayl, Huggett and Nybom (2016) are about 2 for the US and Canada, and close to 3 for Sweden. Corresponding tail indices for wealth are about 1:5 for the U.S.(Vermeulen (2015)) , 1:4 for Canada and 1:7 for Sweden (Cowell, 2011).…”
Section: Skewed Earningsmentioning
confidence: 83%
“…However, these estimates are computed from total income, and because (as we document in Section 3.3) the capital income Pareto exponents tend to be smaller than labor exponents, their estimates are best understood as capital income (hence wealth) Pareto exponents. Benhabib et al (2017) make the point that wealth is more skewed than income, citing a few Pareto exponent estimates from Badel et al (2018) for income and Vermeulen (2018) for wealth. Using the 2013-2014 individual income tax data from Romania, Oancea et al (2018) document that the capital income Pareto exponent (1.44) is smaller than the labor exponent (2.53).…”
Section: Related Literaturementioning
confidence: 99%
“…(2017) make the point that wealth is more skewed than income, citing a few Pareto exponent estimates from Badel et al . (2018) for income and Vermeulen (2018) for wealth. Using the 2013–2014 individual income tax data from Romania, Oancea et al .…”
Section: Introductionmentioning
confidence: 99%
“…Our findings lend support to the role of higher-order moments of earnings growth to characterize labor market uncertainty, both over the business cycle (Guvenen, Ozkan, and Song (2014)) and over the life cycle of individual workers (Guvenen, Karahan, Ozkan, and Song (2015)). Our focus on the entire income distribution complements work by Badel, Daly, Huggett, and Nybom (2018) who study the properties of life-cycle earnings dynamics for the top 1% of the earnings distribution in Sweden and other OECD countries. We emphasize differences in life-cycle dynamics driven by hours and wages and provide evidence on substantial heterogeneity by gender and region of origin, complementing the analysis by education in Friedrich, Laun, Meghir, and Pistaferri (2019).…”
Section: Introductionmentioning
confidence: 99%