This paper studies extortion of firms operating in legal sectors by a profit-maximizing criminal organization. We develop a simple principal-agent model under asymmetric information to find the Mafia-optimal extortion as a function of firms' observable characteristics, namely size and sector. We test the predictions of the model on a unique dataset on extortion in Sicily, the Italian region where the most powerful criminal organization, the Mafia, operates. In line with our theoretical model, our empirical findings show that extortion is strongly concave in firm's size and highly regressive. The percentage of profits appropriated by Mafia ranges from 40% for small firms to 2% for large firms. We derive some implications of these findings on market structure and economic development

Lavezzi AM, Balletta (2019). The Economics of Extortion: Theory and Evidence on the Sicilian Mafia. In Discussion Papers. Dipartimento di Economia e Management, Università di Pisa.

The Economics of Extortion: Theory and Evidence on the Sicilian Mafia

Lavezzi AM
;
Balletta
2019-01-01

Abstract

This paper studies extortion of firms operating in legal sectors by a profit-maximizing criminal organization. We develop a simple principal-agent model under asymmetric information to find the Mafia-optimal extortion as a function of firms' observable characteristics, namely size and sector. We test the predictions of the model on a unique dataset on extortion in Sicily, the Italian region where the most powerful criminal organization, the Mafia, operates. In line with our theoretical model, our empirical findings show that extortion is strongly concave in firm's size and highly regressive. The percentage of profits appropriated by Mafia ranges from 40% for small firms to 2% for large firms. We derive some implications of these findings on market structure and economic development
2019
Settore SECS-P/01 - Economia Politica
Lavezzi AM, Balletta (2019). The Economics of Extortion: Theory and Evidence on the Sicilian Mafia. In Discussion Papers. Dipartimento di Economia e Management, Università di Pisa.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/375535
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