Macro-determinants of Income Inequality: An Empirical Analysis in case of India
Aadil Ahmad Ganaie, Sajad Ahmad Bhat, Bandi Kamaiah
Abstract
Open-access reader
Aadil Ahmad Ganaie, Sajad Ahmad Bhat, Bandi Kamaiah
Abstract
Open-access reader
In this paper, we have used ARDL cointegration approach to analyse the relationship between income inequality and its various determinants for the period 1963 to 2007. Besides data on Estimated Household Income Inequality (EHII), we have used income share of top 1% of the population as an alternative measure of inequality. The results reveal that while real GDP per capita is negatively associated with overall inequality, it has a positive impact on the income share of the top 1%. The estimates for government expenditure and trade openness reveal that they have a significant positive impact in improving the distribution of income in the long run. For both the models, the results showed that increase in the price level leads to increase in inequality. Moreover, the estimates for the share of agriculture in the total GDP indicate that an increase in its proportion leads to an improvement in the distribution of income.
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper, we have used ARDL cointegration approach to analyse the relationship between income inequality and its various determinants for the period 1963 to 2007. Besides data on Estimated Household Income Inequality (EHII), we have used income share of top 1% of the population as an alternative measure of inequality. The results reveal that while real GDP per capita is negatively associated with overall inequality, it has a positive impact on the income share of the top 1%. The estimates for government expenditure and trade openness reveal that they have a significant positive impact in improving the distribution of income in the long run. For both the models, the results showed that increase in the price level leads to increase in inequality. Moreover, the estimates for the share of agriculture in the total GDP indicate that an increase in its proportion leads to an improvement in the distribution of income.
Key concepts: Economics, Cointegration, Economic inequality, Openness to experience, Income distribution, Inequality, Per capita income, Income inequality metrics