Financial openness and inequality

Stefan Avdjiev and Tsvetana Spasova

No 17279, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: We conduct a comprehensive empirical investigation of the link between inequality and financial openness. We document that the relationship varies considerably not only over time, but also across the main components of total external liabilities, which have been largely overlooked by the existing literature. In emerging market economies (EMEs), an increase in a country's external liabilities is associated with an initial rise and a subsequent fall in inequality. This appears to be driven by the fact that the channels through which financial openness increases inequality tend to be active immediately, while the inequality-decreasing channels tend to operate with a lag. The link between financial openness and inequality tends to be substantially weaker in advanced economies than in EMEs.

Keywords: Financial openness; Gini-based inequality measures; Foreign direct investments; External liabilities (search for similar items in EconPapers)
JEL-codes: F30 F40 O11 (search for similar items in EconPapers)
Date: 2022-05
References: Add references at CitEc
Citations:

Downloads: (external link)
https://cepr.org/publications/DP17279 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org

Related works:
Working Paper: Financial openness and inequality (2022)
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:cpr:ceprdp:17279

Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP17279

Access Statistics for this paper

More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().