Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/186072 
Year of Publication: 
2017
Citation: 
[Journal:] Swiss Journal of Economics and Statistics [ISSN:] 2235-6282 [Volume:] 153 [Issue:] 3 [Publisher:] Springer [Place:] Heidelberg [Year:] 2017 [Pages:] 183-225
Publisher: 
Springer, Heidelberg
Abstract: 
The relationship between inequality and growth has attracted a lot of attention in the previous literature. Estimation of this relationship may be biased by simultaneity, omitted variables and measurement error. The present paper contributes to the existing work by introducing the wealth Gini coefficient as a new inequality measure. The most reliable and recent data on income inequality are used for estimation. We employ the Arellano-Bond GMM estimation technique and we find that there seems to be a positive relationship between wealth inequality and real per capita GDP growth, but this relationship is not robust to different model specifications.
Subjects: 
income inequality
wealth inequality
Gini coefficient
economic growth
dynamic panel data
GMM estimation
JEL: 
D30
O40
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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