In this paper the issue of dichotomous growth and development is addressed by means of computer simulation. As previously remarked by many authors (see for example Marengo and Willinger [5], or McCain [6]), computer simulation is a key technique to model economic dynamics. The specific...

This work focuses on a method to characterize stochastic processes by way of their scaling function tau(·). The kernel idea is that, notwithstanding the properties of the stochastic generating process of raw data, a minimum set of conditions is required to provide empirical estimation of the...

Since the beginning of this century, the normal distribution has played a central role in the mathematical finance literature. However, major drawbacks insight this assumption rely in the absence of closed form expressions for both its cumulative and probability density functions. Additionally,...

The paper proposes a method that solves the non-monotonic power problem of a family of structural changes in mean tests based on an orthonormal series filtering of the error process before estimating variance of the test statistics. This method yields a consistent estimator for the variance...

We have developed an agent-based computational model, extension of an analytical model1 that studies the structure of coalitions of B-to-C web sites, when Internet buyers incur search costs for finding the good that matches their preferences, and coalitions of sites reduce this cost through...

Finance models of the term structure of interest rates have for a long time relied on unobserved factors as explanatory variables. In a seminal paper, Ang and Piazzesi (2003) have examined the potential role of macroeconomic variables in explaining the term structure. They, and subsequent...

This paper estimates a standard version of the New Keynesian Monetary Model (NKM) augmented with the term structure in order to analyze two types of issue. First we analyse the relative importance of policy inertia, persistent policy shocks and the term spread in the estimated US monetary policy...

This paper provides formulae for computing perturbation method approximations of unconditional variances of variables in nonlinear DSGE models. Spurious higher order terms that creep into multi-step ahead forecasts can produce explosive time paths frustrating traditional approaches to estimating...

The Local Scale Model of Shephard (1994) is a state-space model of volatility clustering similar in effect to IGARCH, but with an unobserved volatility that realistically evolves independently of the observed errors, instead of being mechanically determined by them. It has one fewer parameter to...