The Open UniversitySkip to content
 

Financial Sector Transformation And Income Inequality – An Empirical Analysis

Szymborska, Hanna (2016). Financial Sector Transformation And Income Inequality – An Empirical Analysis. E-Finanse, 12(2) pp. 36–48.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (911kB) | Preview
URL: https://e-finanse.com/archives/?number=45&id=13
Google Scholar: Look up in Google Scholar

Abstract

This paper examines the relationship between financial sector transformation and income inequality. We construct an econometric model of income concentration for a panel of 16 OECD countries in the years 1995-2009. From our study, financial sector transformation, measured individually by three indicators (GDP share of stock market value traded, bank income and private credit), emer- ges as a nexus of complex and interconnected phenomena, which are strongly associated with the concentration of income at the top of the distribution.

Item Type: Journal Item
Copyright Holders: 2016 The Authors
ISSN: 1734-039X
Extra Information: The article is an effect of the project –„Financialization- impact on the economy and society”- international conference, conducted by the University of Information Technology and Management in Rzeszów with Narodowy Bank Polski under the scope of economic education programme
Keywords: financial markets; inequality; fixed effects models
Academic Unit/School: Faculty of Arts and Social Sciences (FASS) > Social Sciences and Global Studies > Economics
Faculty of Arts and Social Sciences (FASS) > Social Sciences and Global Studies
Faculty of Arts and Social Sciences (FASS)
Research Group: International Development & Inclusive Innovation
Innovation, Knowledge & Development research centre (IKD)
Item ID: 58917
Depositing User: Hanna Szymborska
Date Deposited: 04 Feb 2019 09:32
Last Modified: 06 Aug 2019 13:19
URI: http://oro.open.ac.uk/id/eprint/58917
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU