History-dependent growth incidence: a characterization and an application to the economic crisis in Italy

Flaviana Palmisano and Dirk Van de gaer

Oxford Economic Papers, 2016, vol. 68, issue 2, 585-603

Abstract: We propose a characterization of an aggregate measure of growth that takes into account the initial economic conditions of individuals. Our measure is a weighted average of individuals’ income growth with weights that are decreasing with the rank of the individual in the initial income distribution. We apply our theoretical framework to evaluate the growth processes experienced by the Italian population. Even when we correct for the differences in mean income growth, and focus on the distribution of growth only, the 2008-2010 growth process was the worst of the last decade.

Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://hdl.handle.net/10.1093/oep/gpw002 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
Working Paper: History-dependent growth incidence: a characterization and an application to the economic crisis in Italy (2016)
Working Paper: History dependent growth incidence: a characterization and an application to the economic crisis in Italy (2013)
Working Paper: History dependent growth incidence: A characterisation and an application to the economic crisis in Italy (2013)
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:oup:oxecpp:v:68:y:2016:i:2:p:585-603.

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

Oxford Economic Papers is currently edited by James Forder and Francis J. Teal

More articles in Oxford Economic Papers from Oxford University Press Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.
Bibliographic data for series maintained by Oxford University Press ().