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Impact Evaluation Concept Note. Florence Kondylis Mamadou Lo Mandiogou Ndiaye Mattea Stein Souleymane Teliko. The Speed of Justice Dakar Regional Court, Senegal. Background. Assumption: The speed of justice affects demand for legal resolution of business disputes the business climate
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Impact Evaluation Concept Note Florence Kondylis Mamadou Lo MandiogouNdiaye Mattea Stein SouleymaneTeliko The Speed of JusticeDakar Regional Court, Senegal
Background • Assumption: The speed of justice affects • demand for legal resolution of business disputes • the business climate • Problem: • No evidence on how to increase speed of justice • No direct evidence on what this impact is at the firm level • The Reform Unit of the MoJ in Senegal is working with DIME to get answers
Intervention Summary • Treatment Delay Reminders • Increase salience of information on treatment delays for the various actors <<>> identified bottlenecks • President of chambers • Pre-trial Judges • Clerks (greffiers) • Increase treatment speed • Measure impact of variation in speed at the firm level • Does it work at scale (when all cases are subject to reminder pop-ups?) • Test on larger set of cases (Commercial and Civil) using regression discontinuity design (RDD)
Evaluation Questions • Can a simple personnel economics intervention increase the speed of justice? • Why? [Perception of increased scrutiny vs. planning tool, etc] • Run qualitative judge interviews before/after roll out to try to get at the channels of impact • [Testing impact of paper-based version of the same intervention would be the “ideal” test. Not feasible: too few judges.] • Can a decrease in treatment delays have an impact at the firm level? • Survival of the firm • Decision to invest, employ, expand • Perception of justice system and demand for legal resolution of business disputes (through series of hypothetical situations) • What is the potential for this type of interventions to improve the business climate?
Evaluation Design • Unit of intervention: Court case (Total: 1,800) • Random assignment: • 900 treated: appear in pop-up windows • 900 control: do not appear in any pop-up windows • Court actors received pop-ups: • All president of chambers (manage judges) • All pre-trial judges • All clerks • Only cases they are in charge of appear in their pop-ups
Sampling and Data • Court-level data: • Administrative data collected directly through the court software (all agents enter the various treatment steps into an interface) • Date of entry and dates of various steps entered >> compute duration and speed • Identify firms for tracking in the firm-level survey • Firm-level data: • 2 planned rounds of survey collection • One at the outset • One 1 year later • Issue of censoring: not all cases will be completed over the period of the trial >> use duration models