Given a set of continuous variables with missing data, we prove in this paper that the iterative application of a simple “least-squares estimation/multivariate normal simulation” procedure produces an efficient parameters estimator. There are two main assumptions behind our proof: (1) the...

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.

Multiplicative Error Models (MEM) can be used to trace the dynamics of non–negative valued processes. Interactions between several such processes are accommodated by the vector MEM and estimated by maximum likelihood (Gamma marginals with copula functions) or by Generalized Method of Moments....

In financial time series analysis we encounter several instances of non–negative valued processes (volumes, trades, durations, realized volatility, daily range, and so on) which exhibit clustering and can be modeled as the product of a vector of conditionally autoregressive scale factors and a...

In order to fully understand Syrah wine market in Italy both supply and demand need to be studied. While supply is analyzed with the simple (benchmarking) comparison of the descriptive statistics between Syrah Italian wines and other high quality red Italian wines, the demand is studied...

This paper is a survey (in Italian) of the estimation methods for econometric systems of nonlinear simultaneous equations

In this paper we argue that energy efficiency and environmental efficiency are two aspects of the same problem. To show this, we assess the analytical utility of the well-known IPACT and ImPACT models, presenting here a new developed identity named Augmented ImPACT. For Italy, our findings...

The purpose of this study was to investigate the contributions of Social Identify Theory’s variables to research performance. Regression models were applied on data of ten national research Council (Cnr) institutes of Piemonte, a highly industrialised region in North Western Italy.Results show...

A well known macroeconometric model of the Italian economy is updated to produce forecasts at 1974.

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...