Income inequality and violent crime: evidence from Indian states

G. Nagasubramaniyan and Augustine Joseph

International Journal of Happiness and Development, 2022, vol. 7, issue 2, 159-178

Abstract: The objective of this study is to examine the determinants of different types of violent crime in India. A panel data model was estimated using data from 28 Indian states and one union territory during the years 1993, 2004 and 2011, covering three decades. Based on the Hausman test result, random effect model was used for all types of violent crime except robbery. Our main result suggests that income inequality measured using Gini coefficient negatively affects the incidence of murder, attempt to commit murder, and kidnapping and abduction. Furthermore, there are evidences suggesting that unemployment is an insignificant variable in explaining the incidence of different categories of violent crime. Consistent with previous research, lower levels of violent crimes are associated with a higher literacy rate. The current study also discusses the possible reasons for the above mentioned relationship between economic variables and violent crime.

Keywords: income inequality; crime; violent crime; Gini coefficient; unemployment; literacy; panel data; random effect; fixed effect; India. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=124907 (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:ids:ijhdev:v:7:y:2022:i:2:p:159-178

Access Statistics for this article

More articles in International Journal of Happiness and Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().