The nonlinear testing and modeling of economic and financial time series has increased substantially in recent years, enabling us to better understand market and price behavior, risk and the formation of expectations. Such tests have also been applied to commodity market behavior, providing...

According to several empirical studies, US inflation and nominal interest rates, as well as the real interest rate, can be described as unit root processes. These results imply that nominal interest rates and expected inflation do not move one-for-one in the long run, which is not consistent...

We describe an algorithm for the construction of optimum experimental designs for the parameters in a regression model when the errors have a correlation structure. Our example is drawn from chemical kinetics, so that the model is nonlinear. Our algorithm has been implemented to be used when the...

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

The empirical literature that tests for purchasing power parity (PPP) by focusing on the stationarity of real exchange rates has so far provided, at best, mixed results. The yen real exchange rate behavior, as compared to other major currencies, has most stubornly challenged the PPP hypothesis...

This paper investigates inference methods to introduce prior information in econometric modelling. The set up includes the nonlinear least squares and indirect inference estimators. The goal is to show that stochastic restrictions method estimates can be asymptotically more efficient than...

The persistence properties of economic time series has been a primary object of investigation in a variety of guises since the early days of econometrics. This paper suggests investigating the persistence of processes conditioning on their history. In particular we suggest that examining the...