This paper estimates the effects of organized crime on FDI inflows in 103 Italian Provinces in the period 2004-06. We measure the presence of "organized crime" at provincial level through several indicators, based on data for different kinds of crimes: extortions; "criminal association, included...

The paper estimates the effects of organized crime on FDI inflows in 103 Italian Provinces in the period 2004-06. The presence of organized crime at provincial level is quantified through several indicators, based on data for different kinds of crimes: extortions; criminal association, included...

During the past decade all industrial countries attracted sizeable inflows of foreign direct investment (FDI), excluding Italy and Japan: this fact has been interpreted as evidencing a deterioration in Italy�s structural competitiveness. This paper presents the results of a survey conducted...

Italian Abstract: Il lavoro analizza la variabilità territoriale dei prezzi delle case, concentrandosi in particolare sul gradiente dal centro verso i quartieri e i comuni periferici. Le differenze lungo queste dimensioni nelle aree urbane sono ampie, anche più di quelle esistenti tra Centro...

Italian Abstract: Lo scopo di questo lavoro è presentare una panoramica dei risultati di un recente progetto di ricerca della Banca d'Italia. Il lavoro inizia discutendo come il sistema urbano italiano sia stato, in passato, plasmato dall'interazione tra geografia e eventi storici. Più...

Italian Abstract: Una delle caratteristiche salienti dello sviluppo economico è la sua dimensione marcatamente urbana. Come in altri paesi avanzati, in Italia la gran parte dell'attività economica si concentra nelle città: nel 2001 i 73 Sistemi Locali del Lavoro (SLL) urbani producevano il 62...

The estimation method of Two Stage Least Squares (2SLS) with Principal Components (2SPC) is applied to a medium-sized nonlinear econometric model of the Italian Economy.

Problems related to deterministic solution of nonlinear econometric models are well known in the literature. The use of mean (average) stochastic simulation results has been usually proposed to solve the problem of bias. This raises however other types of problems, like possible non-coherent...

Country risk and sovereign risk are two of the most important topics in risk management. The first part of this work introduces these concepts and shows the differences between them. The following chapters fit linear and ordinal regression models to a data-set with more than 100 countries, where...

In this paper we address the issue of forecasting Value–at–Risk (VaR) using different volatility measures: realized volatility, bipower realized volatility, two scales realized volatility, realized kernel as well as the daily range. We propose a dynamic model with a flexible trend...