We study an economic decision problem where the actors are two rms and the Antitrust Authority whose main task is to monitor and prevent rms potential anti-competitive behaviour. The Antitrust Au- thority's decision process is modelled using a Bayesian network whose relational structure and parameters are estimated from data provided by the Authority itself. Several economic variables in uencing this decision process are included in the model. We analyse how monitoring by the Antitrust Authority aects rms cooperation strategies. These are modelled as a repeated prisoners dilemma using object-oriented Bayesian networks, thus enabling integration of rms decision process and external market information.
Mortera, J., Vicard, P., Vergari, C. (2012). Object oriented Bayesian networks for a decision support system. In Working Paper n.144, Collana di Working Paper del Dipartimento di Economia, Universita' Roma Tre ISSN: 2279-6916. ROMA : Dipartimento di Economia, Univ. Roma Tre.
Object oriented Bayesian networks for a decision support system
MORTERA, Julia;VICARD, Paola;
2012-01-01
Abstract
We study an economic decision problem where the actors are two rms and the Antitrust Authority whose main task is to monitor and prevent rms potential anti-competitive behaviour. The Antitrust Au- thority's decision process is modelled using a Bayesian network whose relational structure and parameters are estimated from data provided by the Authority itself. Several economic variables in uencing this decision process are included in the model. We analyse how monitoring by the Antitrust Authority aects rms cooperation strategies. These are modelled as a repeated prisoners dilemma using object-oriented Bayesian networks, thus enabling integration of rms decision process and external market information.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.