Résumé
Recent advances in economic theory, largely motivated by experimental findings, have led to the adoption of models of human behavior where a decision-maker not only takes into consideration her own payoff but also others’ payoffs and any potential consequences of these payoffs. Investigations of deontological motivations, where a decision-maker makes her choice not only based on the consequences of a decision but also the decision per se have been rare. We propose an experimental method that can detect an individual’s deontological motivations by varying the probability of the decision-maker’s decision having consequences. It uses two states of the world, one where the decision has consequences and one where it has none. We show that a purely consequentialist decision-maker whose preferences satisfy first-order stochastic dominance will choose the decision that leads to the best consequences regardless of the probability of the consequential state. A purely deontological decision-maker is also invariant to the probability. However, a mixed consequentialist-deontological decision-maker’s choice changes with the probability. The direction of change gives insight into the location of the optimand for one’s duty. We provide a formal interpretation of major moral philosophies and a revealed preference method to detect deontological motivations and discuss the relevance of the theory and method for economics and law.
Mots-clés
Consequentialism; deontological motivations; normative commitments; social preferences; revealed preference; decision theory; first order stochastic dominance; random lottery incentive method;
Codes JEL
- D6: Welfare Economics
- K2: Regulation and Business Law
Remplacé par
Daniel L. Chen et Martin Schonger, « Social preferences or sacred values? Theory and evidence of deontological motivations », Science Advances, vol. 8, n° 19, mai 2022.
Référence
Daniel L. Chen et Martin Schonger, « Social preferences or sacred values? Theory and evidence of deontological motivations », TSE Working Paper, n° 16-714, octobre 2016, révision février 2020.
Voir aussi
Publié dans
TSE Working Paper, n° 16-714, octobre 2016, révision février 2020