dc.contributor.author | BANDYOPADHYAY, S | en_US |
dc.date.accessioned | 2017-11-13T15:05:48Z | |
dc.date.available | 2017-07-11 | en_US |
dc.date.issued | 2017-11-08 | en_US |
dc.date.submitted | 2017-10-09T12:23:57.128Z | |
dc.identifier.issn | 0165-1765 | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/28672 | |
dc.description.abstract | I compare time series properties of relative and absolute Ginis to examine which one is better suited for time dependent analyses. In particular, I model Gini trends as a fractionally integrated process and find that there are more mean-reverting absolute Ginis than relative Ginis suggesting that absolute Ginis may be better suited than relative Ginis for time-dependent analyses. I then undertake an estimation of the inequality-growth relationship using popular panel regression methods and find that the absolute Gini is negatively and significantly associated with growth for most models estimated, but none for the relative Gini. I deduce that from an empirical point of view, the absolute Gini may be a better choice when undertaking time dependent analyses. | en_US |
dc.format.extent | 135 - 139 (4) | en_US |
dc.language | English | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Economics Letters | en_US |
dc.subject | Relative Gini | en_US |
dc.subject | Absolute Gini | en_US |
dc.subject | Fractionally integrated processes | en_US |
dc.subject | Inequality and growth relationship | en_US |
dc.subject | Gini coefficient | en_US |
dc.title | The absolute Gini is a more reliable measure of inequality for time dependent analyses (compared with the relative Gini) | en_US |
dc.type | Article | |
dc.rights.holder | © 2017 Published by Elsevier B.V. All rights reserved. | |
dc.identifier.doi | 10.1016/j.econlet.2017.07.012 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Accepted | en_US |
pubs.publisher-url | https://www.sciencedirect.com/science/article/pii/S0165176517302926 | en_US |
pubs.volume | 162 | en_US |
dcterms.dateAccepted | 2017-07-11 | en_US |