A method for evaluating the reliability of policy recommendations derived from a linear dynamic structural econometric model in the framework of the linear quadratic control problem has been recently proposed by Friedmann (1980, 1981). The method analytically derives the asymptotic distribution...

Some results os stochastic simulation of a small Italian macroeconometric model are presented.

A well known macroeconometric model of the Italian economy is updated to produce forecasts at 1974.

The evaluation of policy actions by means of macroeconomic models often begins with the analysis of multipliers. A rough analysis recommends to use those instruments that exhibit large multipliers. Government budget usually imposes some constraints on the policy action. Insted of the raw...

Problems related to deterministic solution of nonlinear econometric models are well known in the literature. The use of mean (average) stochastic simulation results has been usually proposed to solve the problem of bias. This raises however other types of problems, like possible non-coherent...

When dealing with nonlinear econometric models, resort is often made to simulation techniques for the investigation of their dynamic properties. A spectral analysis using stochastic and analytic simulation is carried out on a nonlinear model of the Italian economy. The two approaces are...

In this paper, control variates are proposed to speed up Monte Carlo simulations to estimate expected error rates in multivariate classification.

Some analytic simulation techniques for the analysis of the reduced form and of the dynamic properties of econometric models are described. Comparisons are made with analytical methods available for linear models.

This manual describes the input requirements and the installation procedures of the program for stochastic simulation of econometric models, announced in Econometrica, volume 46, number 1, (January 1978). This program is available on magnetic tape, including samples (Klein-I and Klein-Goldberger...

This paper deals with methods to estimate standard errors of dynamic multipliers. These methods can be applied to nonlinear macroeconometric models, thus extending methods available in the literature for linear models.