Numerical simulation methods can overcome the difficulties and limitations of analytical methods, when analyzing dynamic properties of econometric models.

It is known that a program loaded into the User Program Area can load, via SVC 202, only programs to be allocated in the Transient Program Area and not programs to be allocated in the same User Program Area. To allow any program to use also this second type function, a procedure is proposed in...

We show in this paper that the treatment of conditional heteroskedasticity inside nonlinear systems of simultaneous equations is a sufficiently manageable matter for some types of multivariate ARCH error structures. Reparameterization makes it possible to estimate the model by means of the...

This paper describes some analytic simulation experiments performed on a nonlinear macroeconometric model of the Italian economy. The proposed techniques extend to nonlinear models methods that are available, in the literature, for linear econometric models. The results can be profitably used...

Starting from a consistent and asymptotically normally distributed structural estimate of a dynamic econometric model, this paper provides an analytical derivation of the asymptotic distribution of spectra and cross spectra of the jointly dependent variables. A numerical example is provided on...

At tbe IBM Pisa Scientific Center an interactive package has been developed under CP-67/CMS, which is particularly helpful when the data to be processed are time series. The interactive facilities of the operating system CP-67/CMS are strenghtened in such a way as to allow an easy interactive...

When the coefficients of a Tobit model are estimated by maximum likelihood their covariance matrix is typically, even if not necessarily, associated with the algorithm employed to maximize the likelihood. Covariance estimators used in practice are derived by: (1) the Hessian (observed...

This article describes the application to an operational medium-size econometric model, mini-DMS, of methods associating, to deterministic forecasts, a measure of the uncertainty due to the stochastic nature of behavioural equations. After having described the theoretical and practical...

Five alternative techniques have been applied to measure the degree of uncertainty associated with the forecasts produced by a macro-model of the French economy, the Mini-DMS developed at INSEE. They are bootstrap, analytic simulation on coefficients, Monte Carlo on coefficients, parametric...

This work is mainly intended for applied econometricians and students interested in development and application of estimation methods for structural econometric models. For the Klein-I model, detailed numerical tables of the parameters of the structural and restricted reduced form, of their...