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...

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...

Stochastic simulation with antithetic variates is used to evaluate the bias of deterministic simulation in nonlinear econometric models. Application to the Klein-Goldberger model exemplifies the potentiality of the method.

Results of stochastic simulation experiments are described in this paper. The model experimented with is a large scale macroeconometric model, developed at the University of Bonn for the German economy (Model 5).

The importance of the simulation (both deterministic and stochastic) in the validation process of a non linear econometric model is underlined. Synthetic results of a large set of simulations on a non linear model of the Italian economy are presented. The benefits and the risks of the stochastic...

This study estimates the demand for broad money in Iran through multivariate Cointegration analysis as proposed by Johansen and Juselius and tests the validity of the estimated model through forecasting money demand for several periods Using stochastic simulation technique. The study obtained...

Purpose The purpose of this paper is to identify, measure and optimise financial risk and its effect on returns from innovation projects on an accrual basis and on a cash basis in a commodity industry. Design/methodology/approach A hypothetical case study, based on a real case, of a...

In this paper, we investigate the implications of measurement errors in the daily published stock prices on the creation and management of efficient portfolios. Using stochastic simulation techniques and the Markowitz Mean Variance approach in the creation of the weights of the various stocks of...

A computationally feasible method for the full information maximum likelihood estimation of models with rational expectations is described in this paper. The stochastic simulation of such models is also described. The methods discussed in this paper should open the way for many more tests of the...