Spectral analysis of stochastic and analytic simulation results for a nonlinear model for the Italian economy
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 empirically compared.
|Date of creation:||1978|
|Date of revision:||1978|
|Publication status:||Published in Compstat 1978, Proceedings in Computational Statistics Ed. by L. C. A. Corsten, and J. Hermans. Vienna: Physica Verlag (1978): pp. 348-354|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "A Program for Stochastic Simulation of Econometric Models," Econometrica, Econometric Society, vol. 46(1), pages 235-236, January.
- Bert G. Hickman, 1972. "Econometric Models of Cyclical Behavior, Volumes 1 and 2," NBER Books, National Bureau of Economic Research, Inc, number hick72-1, April.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:22966. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.