Financial development and income inequality: a panel data approach

By Sebastian Jauch, Sebastian Watzka. Empirical Economics, 2011

361 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1523cf9c4407ebf20d358e7a30c312ccff95531e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. V. Murinde
2. Vanesa Pesqué-Cela
3. Yener Altunbaş
4. Ayşegül Demir
5. Phil Molyneux

In Information Systems

1. V. Murinde
2. Vanesa Pesqué-Cela
3. Yener Altunbaş
4. Ayşegül Demir

In Sociology and Political Science

1. V. Murinde
2. Vanesa Pesqué-Cela
3. Yener Altunbaş
4. Ayşegül Demir

Citations in the corpus

• Fintech, financial inclusion and income inequality: a quantile regression approach (2020, methodology): “This is the most widely used measure of income inequality in the literature on the relationship between finance and inequality (e.g. Beck, Demirgüç-Kunt, and Levine 2007; Jauch and Watzka 2016; De Haan and Sturm 2017).”
• Finance and Income Inequality: A Review and New Evidence (2017, neutral): “Jaumotte et al. (2013) investigate income inequality with a focus on trade and financial globalization.”