EconPapers    
Economics at your fingertips  
 

Human capital and income inequality in India: is there a non-linear and asymmetric relationship?

Madhu Sehrawat and Sanjay Singh

Applied Economics, 2019, vol. 51, issue 39, 4325-4336

Abstract: The article attempts to provide empirical evidence on the relationship between human capital and income inequality in India in a non-linear and asymmetric framework. To capture both long-run and short-run asymmetries, we have employed the non-linear autoregressive distributed lag approach using the relevant data from 1970 to 2016. Findings of the article suggest that education expansion acts as a major factor in reducing prevailing high income inequality, that is an increase in average years of schooling results in more equal distribution of income. In contrast, high economic growth, inflation and trade openness create unequal distribution of income. The asymmetric causality test results indicate that there is unidirectional causality running from female human capital, economic growth and inflation to income inequality. From a policy perspective, we suggest that education expansion should be used as a powerful tool to mitigate income inequality by emphasizing the quality of education. At the same time, policies geared towards social benefits, inclusive education, training for unskilled workers and price stability should be encouraged to attain fair income distribution in India.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2019.1591605 (text/html)
Access to full text is restricted to subscribers.

Related works:
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:taf:applec:v:51:y:2019:i:39:p:4325-4336

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2019.1591605

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-31
Handle: RePEc:taf:applec:v:51:y:2019:i:39:p:4325-4336