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Data Science for Justice: Evidence from a Randomized Judicial Reform in Kenya

Séminaire HOPE et BSE de Matthieu Chemin (McGill University)

BSE - Campus de Pessac - 6 Av. Léon Duguit, 33600 Pessac

Vous êtes conviés à participer au séminaire organisé dans le cadre du GPR HOPE + BSE
 
Data Science for Justice: Evidence from a Randomized Judicial Reform in Kenya 
par  Matthieu Chemin (McGill University)
le mercredi 14 septembre de 11h00 à 12h00
 
Salle de séminaire ( H2 116 ) de la Maison de Bordeaux Sciences Économiques (bâtiment H, 1er étage), campus de Pessac
 

Do judicial institutions cause economic growth? In a nationwide randomized experiment in Kenya, we use algorithms to identify for each court the greatest sources of court delay and present recommended actions. We randomly assign courts to receive no information, information, or an information and accountability intervention. Information and accountability reduces case duration by 22%. Using continuous household surveys, we find that in regions with treated courts, workers were more likely to have formal contracts and higher wages, especially in contract-intensive industries. A one standard deviation increase in our measure of contract-intensiveness is associated with a 29% increase in wages in the treatment group. These results demonstrate a causal relationship between judicial institutions and development outcomes and suggest that contract enforcement is a key mechanism for law and development.

 

Le séminaire sera suivi d'un moment de convivialité autour d'un buffet à 12h00 dans le patio.