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We demonstrate how age-adjusted inequality measures can be used to evaluate whether changes in inequality over time are because of changes in the age structure. In particular, we explore the hypothesis that the substantial rise in earnings inequality since the early 1980s is driven by the large...
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In this paper, we demonstrate how age-adjusted inequality measures can be used to evaluate whether changes in inequality over time are due to changes in the age structure. To this end, we use administrative data on earnings for every male Norwegian during 1967-2000. We find that the substantial...
Persistent link: https://www.econbiz.de/10008697505
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In this paper, we demonstrate how age-adjusted inequality measures can be used to evaluate whether changes in inequality over time are due to changes in the age structure. To this end, we use administrative data on earnings for every male Norwegian during 1967-2000. We find that the substantial...
Persistent link: https://www.econbiz.de/10013316148
Purchasing power adjusted incomes applied in cross-country comparisons are measured with bias. In this paper, we estimate the purchasing power parity (PPP) bias in Penn World Table incomes and provide corrected incomes. The bias is substantial and systematic: the poorer a country, the more its...
Persistent link: https://www.econbiz.de/10008732283
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Purchasing power adjusted incomes applied in cross-country comparisons are measured with bias. In this paper, we estimate the purchasing power parity (PPP) bias in Penn World Table incomes and provide corrected real incomes. The bias is substantial and systematic: the poorer is a country, the...
Persistent link: https://www.econbiz.de/10003746708
Price-adjusted data on national incomes applied in cross-country comparisons are measured with bias. By studying micro data, this paper finds that the bias is systematic: the poorer a country is, the more its income tends to be overestimated. Consequently, international income inequalities are...
Persistent link: https://www.econbiz.de/10014198273