Computable general equilibrium (CGE)models require both theory and data. The theory underlying our model is standard general equilibrium theory, and details will be provided elsewhere. The sole purpose of this paper is to present in detail the data used to calibrate this model. We have...

We first analyse the general problem of admissible conditioning and next consider the evaluation of the loss of information when a non-admissible conditioning is used as an approximation of the exact posterior distribution. Considering the case of Fisher test, we evaluate from a Bayesian point...

The factor GARCH model of Engle (1987) and the latent factor ARCH model of Diebold and Nerlove (1989) have become rather popular multivariate volatility parameterizations due to their parsimony, and the commonality in volatility movements across different financial series. Nevertheless, there is...

Associated with every popular nonlinear estimationmethod is at least ont "artificial" linear regression. We define an artificial regression in terms of three conditions that it must satisfy. Then we show how artificial regressions can be useful for numerical optimization, testing hypotheses, and...

On the basis of a panel data effects of different features of the DIS on banking crises are empirically tested. The econometric model is a multivariate logit model. The result suggest that the presence of an explicit DIS in a country has positive association with the likelihood of banking crises.

Learning with bounded memory in stochastic frameworks is incomplete in the sense that the learning dynamics cannot converge to an REE. The properties of the dunamics arising from such rules are studied for models with steady states. If in standard linear models the REE is in a certain sense...

The generalised method of moments (GMM) is combined with the nonparametric estimation of the instrument matrix to obtain an easily computable estimator for the panel probit model. It is based on the specification of the conditional mean of the binary dependent variable in each period, and...

Global macroeconometric models can be a powerful tool for economic analysis and forecasting in various scenarios. This paper analyses the NIGEM model and its application to the euro area, placing particular emphasis on the study of the relative situation of the member countries' economies.

A number of volatility forecasting studies have led to the perception that the ARCH- and Stochastic Volatility-type models provide poor out-of-sample forecasts of volatility. This is primarily based on the use of traditional forecast evaluation criteria concerning the accuracy and the...