In this paper we develop a general strategy for studying the effect on unbiased, nearest-neighbor walks of opening up or blocking a trap or neural site on a d-dimensional lattice.

This paper employs response surface regressions based on simulation experiments to calculate asymptotic distribution functions of the tests for cointegration proposed by Johansen. The paper provides accurate tables of asymptotic critical values. A program which can be used to calculate both...

This paper explains how the Gibbs sampler can be used to perform Bayesian inference on GARCH models. Although the Gibbs sampler is usually based on the analytical knowledge of the full conditional posterior densities, such knowledge is not available in regression models with GARCH errors. We...

This paper considers the Bayesian analysis of threshold regression models. It shows that this analysis can be conducted with simple deterministic numerical integration rules of low dimension. The shape of the posterior density is greatly determined by the type of threshold and of transition...

This paper proposes a new kind of asymmetric GARCh where the conditional variance obeys two different regimes with a smooth transition function. In one formulation variance reacts differently to negative and positive shocks while a second formulation, small and big shocks have separate effects.

This paper considers the Bayesian analysis of threshold regression models. It shows that this analysis can be conducted with simple deterministic numerical integration in one or two dimensions. The shape of the posterior density is greatly determined by the type of threshold and of transition...

This paper evaluates the latest version 4.4 of the econometric software TSP. After reviewing the general estimation methods, the originalities of the software are underlined, compared to what is available on the market. Some aspects of programming in TSP are detailed and th enew Window 95...

We propose twp multivariate long-memory ARCH models, which extend the univariate long-memory models by Ding and Granger (1996) and Baillie, Bollerslev and Mikkelsen (1996). We consider a long-memory extension of the restricted constant conditional correlations (CCC) model introduced by...

This paper describes a methodology for implementing bidirectional/break frequency-selective filters in cases where the data sequence is short and nonstationary. A sime method is proposed for dealing with start-up problem. The method has a firm theoretical basis and it is computationally efficient.