We introduce a network formation model based on the idea that individuals engage in production (or decide to participate in an action) depending on the similar actions of the people they observe in the society. We differentiate from the classical models of participation by letting individuals to...

This paper is concerned with modelling time series by single hidden layer feedforward neural network models. A coherent modelling strategy based on statistical inference is presented. Variable selection is carried out using existing techniques. The problem of selecting the number of hidden units...

A general equilibrium model is built to explain if there are circumstances in which exchange rate risk smoothing (ERRS) policies may bring a Pareto-improvement for a indebted small open (home) economy. The model shows that this is the case when overpessimistic foreign creditors demand a large...

In this paper, the Local Global Neural Networks model is proposed within the context of time series models. This formulation encompasses some already existing nonlinear models and also admits the Mixture of Experts approach. We place emphasis on the linear expert case and extensively discuss the...

Since Henry George (1839-1897) economists have been arguing that a tax on unim- proved land is an ideal tax on e¢ ciency grounds. Output taxes, on the other hand, have distortional effects on the economy. This paper shows that under asymmetric information output tax might be used along with...

With an overindebted public-sector, Brazil has been on the brink of a fiscal dominance problem for quite a long time. The term has been usually associated to a situation in which monetary policy becomes subordinated to fiscal needs. This paper calls attention to broader implications of prolonged...