Showing 1 - 10 of 264
Persistent link: https://www.econbiz.de/10001973716
Persistent link: https://www.econbiz.de/10001973725
Persistent link: https://www.econbiz.de/10001973736
The complete validation of an econometric model is a process which involves a formidable number of activities in the various steps of model building, like economic structure specification, test of hypothesis and parameter estimation, simulation behaviour and decision making. Our attention will...
Persistent link: https://www.econbiz.de/10015220763
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...
Persistent link: https://www.econbiz.de/10015220793
The estimator of the coefficient covariance matrix proposed in White (1982) can be used to robustify the classical Wald test. Sampling experiments recently performed on linear regressions and simultaneous equation models, however, suggest that such an estimator tends to underestimate the...
Persistent link: https://www.econbiz.de/10015221488
This paper is concerned with the contribution to forecast errors of errors in the estimated structural coefficients of a macro-econometric model (simultaneous equations). Its main purpose is to perform, on several "real-world" models, an empirical comparison of alternative techniques available...
Persistent link: https://www.econbiz.de/10015221490
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...
Persistent link: https://www.econbiz.de/10015221495
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...
Persistent link: https://www.econbiz.de/10015221507
In nonlinear econometric models, the evaluation of forecast errors is usually performed, completely or partially, by resorting to stochastic simulation. However, for evaluating the specific contribution of errors in estimated structural coefficients, several alternative methods have been...
Persistent link: https://www.econbiz.de/10015221535