The drivers of labour income inequality -- an analysis based on Bayesian Model Averaging

Isabell Koske and I. Wanner

Applied Economics Letters, 2013, vol. 20, issue 2, 123-126

Abstract: 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.

Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2012.683164 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:20:y:2013:i:2:p:123-126

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2012.683164

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().