The Hidden Face of Justice: Fairness, Discrimination and Distribution in Transitional Justice Processes
| Autor: | Andrés Casas Casas, Nathalie Méndez Méndez, Juan Camilo Cárdenas |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Economics and Econometrics
Sociology and Political Science Transitional justice Management Monitoring Policy and Law Economic Justice Social preferences Power (social and political) Dilemma Incentive Goods and services Political science Political Science and International Relations Social psychology Microfoundations Law and economics |
| Zdroj: | Peace Economics, Peace Science and Public Policy. 20:33-60 |
| ISSN: | 1554-8597 1079-2457 |
| DOI: | 10.1515/peps-2013-0052 |
| Popis: | This article contributes to the literature on the impact of transitional justice measures using behavioral evidence from experiments. We argue that there is a distributional dilemma at the heart of transitional justice programs, given that the State must allocate goods and services both to victims and excombatants. Individual and social preferences over these processes matter, given that they are likely to scale up to undermine or increase public support for transitional justice programs. We offer evidence from the Colombian case, to show what we call the hidden face of justice effect, which occurs when in the transition from war to peace distributional dilemmas arise and generate a social sanction function that creates negative incentives that can affect the achievement of reintegration of ex-combatants and jeopardizes the maintenance of peace. In order to explore the microfoundations that underlie the differences between allocations to victims and ex-combatants, we use data from field experiments and find that ex-combatants expect lower transfers from public officers and citizens and indeed receive lower transfers, if compared to the victims and the control groups included in the study, despite the fact that third-party observers have the power to punish senders when making offers seen by the third-party as unfair. |
| Databáze: | OpenAIRE |
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