The drivers of labour income inequality: an analysis based on Bayesian Model Averaging/ created by Isabell Koske and I. Wanner
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- text
- unmediated
- volume
- 13504851
- HB1.A666 APP
Item type | Current library | Call number | Vol info | Copy number | Status | Notes | Date due | Barcode | |
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Main Library - Special Collections | HB1.A666 APP (Browse shelf(Opens below)) | Vol. 20, no.2 (pages 123-126) | SP17971 | Not for loan | For in house use only |
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Many Organisation for Economic Co-operation and Development (OECD) countries have seen income inequality rising over the past decade, which has led to a renewed interest among researchers and policy makers in understanding the causes of income inequality. To shed light on this issue, this article investigates the determinants of labour income inequality for a sample of 22 OECD countries. As model uncertainty is likely to be a major issue in such an underpinning, the empirical analysis relies on a Bayesian Model Averaging (BMA) technique. The results suggest that in particular labour, education and tax policies have an important influence on the distribution of labour income.
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