Data hiding the truth for the last few years: a panel data analysis of crimes against women

Abstract

Purpose

The offence against femininity has not only destroyed India’s development but also its future. When it comes down to the most important factor like sex, the social evils like “sati” and “dowry” that had been plaguing our country have been banned in India. India is the most dangerous nation in regard to sexual violence against women, according to the summary of the Thomson Reuters Foundation, 2018. The purpose of this paper is to determine the relationship between the total populations of women with other different types of women crime in all states in India.

Design/methodology/approach

This paper will review existing panel data analysis literature and apply this knowledge in finding the highly occurred women crimes in India. Using R software the following models are analysed: pooled ordinary least squares, fixed effects models and random effects models for analysing the women crimes in India.

Findings

In this paper, the authors identify that the fixed effects model is more appropriate for the analysis of women crimes in India.

Practical implications

Violence against women is a social, economic, developmental, legal, educational, human rights and health issue. This paper can be used to find the importance of women crime types. Moreover, the police or legal department can take actions according to the crime types.

Originality/value

There is a lack of literature considering the crimes against women. This will help the society to understand women crime types because the only type of violence that has received much attention by the media is rape. But, through our panel data analysis, we conclude that kidnapping, abduction and dowry death are the most occurred crimes against women in India.

Citation

Ragunathan, A. and Devarasan, E. (2019), "Data hiding the truth for the last few years: a panel data analysis of crimes against women", Journal of Criminological Research, Policy and Practice, Vol. 5 No. 2, pp. 132-143. https://doi.org/10.1108/JCRPP-01-2019-0007