Data Science for Justice: The Short-Term Effects of a Randomized Judicial Reform in Kenya

Fiche du document

Date

4 janvier 2023

Type de document
Périmètre
Langue
Identifiants
Collection

Archives ouvertes

Licence

info:eu-repo/semantics/OpenAccess



Citer ce document

Matthieu Chemin et al., « Data Science for Justice: The Short-Term Effects of a Randomized Judicial Reform in Kenya », HAL-SHS : économie et finance, ID : 10670/1.mto9s7


Métriques


Partage / Export

Résumé En

Can data science be used to improve the functioning of courts, and unlock the positive effects of institutions on economic development? In a nationwide randomized experiment in Kenya, we use algorithms to identify the greatest sources of court delay for each court and recommend actions. We randomly assign courts to receive no information, information, or an information and accountability intervention. Information and accountability reduces case duration by 22%. We find an effect on contracting behaviour, with more written labor contracts being signed by firms, and an effect on wage, since jobs with written labor contracts pay more. These results demonstrate a causal relationship between judicial institutions and development outcomes.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Sur les mêmes disciplines

Exporter en