Abstract
This paper is based on Danish register data describing individual-level income between 1984 and 2016 and argues that whether focusing on the cross-sectional or panel data dimension matters crucially for the resulting growth statistics. When investigating the cross-sectional dimension - as most international studies are usually limited by their data to do - the analysis shows that real incomes have increased by far more for the top parts of the distributions. When instead utilizing the panel dimension t h e pattern is reversed, such that it is the individuals who h ad the lowest incomes in 1984, who are the ones that experienced the highest income growth rates during the 32-year period. Together the two analyses compliment each other and offer important information for policymakers, as they suggest that although inequality has increased between 1984 and 2016 a person's relative placement in the income distribution may not persist throughout his lifetime.
Original language | English |
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Title of host publication | Symposium i anvendt statistik : 27.-28. januar 2020 |
Editors | Peter Linde |
Number of pages | 14 |
Place of Publication | København |
Publisher | Økonomisk Institut, Københavns Universitet og Det Nationale Forskningscenter for Arbejdsmiljø |
Publication date | 2020 |
Pages | 52-65 |
ISBN (Print) | 9788798937005 |
Publication status | Published - 2020 |
Event | 42. Symposium i Anvendt Statistik - Aarhus Universitet, Aarhus, Denmark Duration: 27 Jan 2020 → 28 Jan 2020 Conference number: 42 http://www.statistiksymposium.dk/ |
Conference
Conference | 42. Symposium i Anvendt Statistik |
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Number | 42 |
Location | Aarhus Universitet |
Country/Territory | Denmark |
City | Aarhus |
Period | 27/01/2020 → 28/01/2020 |
Internet address |