Spectral analysis of stochastic and analytic simulation results for a nonlinear model for the Italian economy
AbstractWhen 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 22966.
Date of creation: 1978
Date of revision: 1978
Stochastic simulation; nonlinear econometric models; analytic simulation; spectral analysis; Monte Carlo methods;
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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- Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "A Program for Stochastic Simulation of Econometric Models," Econometrica, Econometric Society, Econometric Society, vol. 46(1), pages 235-36, January.
- Bert G. Hickman, 1972. "Econometric Models of Cyclical Behavior, Vols. 1 and 2," NBER Books, National Bureau of Economic Research, Inc, National Bureau of Economic Research, Inc, number hick72-1.
- Bianchi, Carlo & Calzolari, Giorgio, 1979. "Simulation of a nonlinear econometric model," MPRA Paper 24440, University Library of Munich, Germany, revised 1980.
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