This paper implements a methodology that exploits firms and households' optimality conditions to measure money laundering for the Italian economy. This approach, first implemented by Ingram, Kocherlakota, and Savin (1997) to the household production sector, and by Busato, Chiarini and Di Maro...

This paper implements a methodology that exploits firms and households’ optimality conditions to measure money laundering for the Italian economy. This approach, first implemented by Ingram, Kocherlakota, and Savin (1997) to the household production sector, and by Busato, Chiarini and Di Maro...

This paper explores the ability of a class of two-sector dynamic general equilibrium models to generate equilibrium time series for Money Laundering (Ml), through numerical simulations.The paper adopts this approach for the Italian, Us and the Eu-15 economies.The simulations show that Ml...

Although the practice of disguising the illicit origins of money dates back thousands of years, the concept of money laundering as a multidisciplinary topic with social, economic, political and regulatory implications has only gained prominence since the 1980s. This groundbreaking volume offers...

This paper presents an empirically testable two-sector dynamic general equilibrium model for the United States economy that admits technology and non-technology shocks. Long-run identification restrictions further distinguish the impact of each shocks over the originating sector (i.e. as a...