The relationship between income inequality and aggregate saving: an empirical analysis using cross-country panel data

2015 ◽  
Vol 48 (10) ◽  
pp. 892-901 ◽  
Author(s):  
Jaewoon Koo ◽  
Yunxing Song
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Empirical Analysis ◽  
Cross Country ◽  
The Relationship

scholarly journals Education and Income Inequality Reconsidered: A Cross-Country Analysis of Data from 1960-2000

2013 ◽  
Vol 28 (1) ◽  
pp. 43-65
Author(s):  
Kim Eun Ju
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Income Inequality ◽  
Critical Role ◽  
Educational Opportunities ◽  
Education Inequality ◽  
Education And Health ◽  
Country Analysis ◽  
Cross Country ◽  
The Relationship

Recent comparative inequality studies have addressed not only income but also other dimensions such as education and health inequality. Education has been believed to play a critical role in the nexus of inequality and growth. This study examines whether education distribution has an effect on income inequality. It empirically analyzes the relationship between education inequality and income inequality using quinquennial panel data from 100 countries for 1960-2000. The results show that education inequality and income inequality have a nonlinear, inverted-U-shaped relationship. This relationship appeared more consistently in developing countries. These findings suggest that educational opportunities should be more equally provided for better income distribution, especially in developing countries.

scholarly journals How do Poverty and Income Inequality affect Economic Growth in Developing Countries?

2021 ◽  
Vol 4 (2) ◽  
pp. 547-558
Author(s):  
Hamza Saleem ◽  
Fatima Farooq ◽  
Muhammad Aurmaghan
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Income Inequality ◽  
Negative Impact ◽  
Positive Impact ◽  
Development Indicators ◽  
The Relationship ◽  
Positive Effect ◽  
World Development

The major objective of this research is to examine the relationship between poverty, income inequality and economic growth from some selected developing countries. This study uses panel data for the period of 2002-2015. All the data is taken from world development indicators (WDI). To find out the results, we have used Hausman test an econometrics technique for panel data in this research. The results of the study indicate that poverty and income inequality have a negative impact on economic growth on the other hand Gross capital formation, labor force, total population and government consumption and expenditure have a positive impact on economic growth. The result tells us that changes in these variables have a significant and positive effect on the dependent variable. To achieve the goal of economic growth developing countries should reduce poverty and take meaningful steps to overcome the problem of inequality in the society which can be very helpful in achieving the goal of economic growth.

The impacts of sector growth and monetary policy on income inequality in developing countries

2019 ◽  
Vol 46 (3) ◽  
pp. 591-610 ◽  
Author(s):  
Sima Siami-Namini ◽  
Darren Hudson
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Monetary Policy ◽  
Panel Data ◽  
Income Inequality ◽  
Nonlinear Effect ◽  
Service Sector ◽  
Functional Form ◽  
Content Type ◽  
The Relationship

PurposeThe purpose of this paper is to explore the effect of growth in different sectors of the economy of developing countries on income inequality and analyze how inflation, as a proxy for monetary policy, makes a proportionate contribution for setting a binding national target for reducing income inequality. The paper examines the existence of a linear or nonlinear effect of inflation and sectoral economic growth on income inequality using a balanced panel data of 92 developing countries for the period of 1990–2014.Design/methodology/approachMethods section includes several steps as below: first, the functional form of the model using panel data for investigating the contribution of economic sectors in income inequality; second, to estimate the relationship between income inequality and sector growth: testing the Kuznets hypothesis; third, to estimate the relationship between inflation and income inequality base on general functional form of the model proposed by Amornthum (2004); fourth, a panel Granger causality analysis based on a VECM approach.FindingsThe statistically significant finding shows that first agricultural growth and then industrial growth have a dominate impact in reducing income inequality in our sample. But, the service sector growth has positive effects. The results confirm the existence of Kuznets inverted “U” hypothesis for industry growth and Kuznets “U” hypothesis for service sector growth. The findings show that sector growth and inflation affect income inequality in the long-run.Originality/valueThis research is an original paper which analyzes the effect of growth in different sectors of the economy of developing countries (agriculture, manufacturing and services sectors) on income inequality and test the Kuznets hypothesis in terms of sector growth and at the same time, examine the existence of a linear/nonlinear effect of inflation and sectoral economic growth on income inequality and test Granger causality relationship between income inequality and sector growth and inflation.

scholarly journals Sectoral Growth and Income Inequality in ASEAN-5 Countries: Case of Low-Middle Income Economies

2020 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Dewa Gede Sidan Raeskyesa
Keyword(s):  
Panel Data ◽  
Income Inequality ◽  
Economic Integration ◽  
Agricultural Sector ◽  
Negative Relationship ◽  
Economic Sectors ◽  
Middle Income ◽  
Sectoral Growth ◽  
Asean Countries ◽  
The Relationship

This paper aims to explore the relationship between growth in economic sectors, especially manufacturing, service, and agriculture, towards income inequality. Furthermore, it utilizes panel data for low-middle income ASEAN countries. The result shows that the share of agricultural sector in GDP has a significant and negative relationship with income inequality. In fact, the effect is robust for the incorporation of control variables. Therefore, it underlines the importance of agricultural sector development for reducing inequality and also for fostering ASEAN economic integration.

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