Author
Abstract
Are women disadvantaged whilst accessing justice? I chart, for the first time, the full trajectory of accessing justice in India using an original dataset of roughly half a million crime reports, subsequently merged with court files. I demonstrate that particular complaints can be hindered when passing through nodes of the criminal justice system, and illustrate a pattern of “multi-stage” discrimination. In particular, I show that women's complaints are more likely to be delayed and dismissed at the police station and courthouse compared to men. Suspects that female complainants accuse of crime are less likely to be convicted and more likely to be acquitted, an imbalance that persists even when accounting for cases of violence against women (VAW). The application of machine learning to complaints reveals—contrary to claims by policymakers and judges—that VAW, including the extortive crime of dowry, are not “petty quarrels,” but may involve starvation, poisoning, and marital rape. In an attempt to make a causal claim about the impact of complainant gender on verdicts, I utilize topical inverse regression matching, a method that leverages high-dimensional text data. I show that those who suffer from cumulative disadvantage in society may face challenges across sequential stages of seeking restitution or punitive justice through formal state institutions.
Suggested Citation
Jassal, Nirvikar, 2024.
"Does Victim Gender Matter for Justice Delivery? Police and Judicial Responses to Women’s Cases in India,"
American Political Science Review, Cambridge University Press, vol. 118(3), pages 1278-1304, August.
Handle:
RePEc:cup:apsrev:v:118:y:2024:i:3:p:1278-1304_13
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:apsrev:v:118:y:2024:i:3:p:1278-1304_13. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/psr .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.