Stochastic simulation as a validation tool for econometric models
AbstractThe 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 be mainly focussed on some aspects related to simulation and decision making; in particular, the purpose of this paper is to analyze some problems of the validation process for which stochastic simulation can be profitably used.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 21226.
Date of creation: 15 Sep 1977
Date of revision:
Econometric models; nonlinear simultaneous equations; stochastic simulation;
Find related papers by JEL classification:
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
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- Calzolari, Giorgio & Ciriani, Tito A. & Corsi, Paolo, 1976. "Generation and testing of pseudo-random numbers to be used in the stochastic simulation of econometric models," MPRA Paper 24172, University Library of Munich, Germany.
- Phoebus J. Dhrymes & E. Philip Howrey & Saul H. Hymans & Jan Kmenta & Edward E. Leamer & Richard E. Quandt & James B. Ramsey & Harold T. Shapiro & Victor Zarnowitz, 1972. "Criteria For Evaluation Of Econometric Models," NBER Chapters, National Bureau of Economic Research, Inc, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 291-325 National Bureau of Economic Research, Inc.
- Fromm, Gary & Klein, Lawrence R, 1973. "A Comparison of Eleven Econometric Models of the United States," American Economic Review, American Economic Association, American Economic Association, vol. 63(2), pages 385-93, May.
- Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1976. "Divergences in the results of stochastic and deterministic simulation of an Italian non linear econometric model," MPRA Paper 21287, University Library of Munich, Germany.
- 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.
- Ray Fair, 2002.
"Bootstrapping Macroeconometric Models,"
Yale School of Management Working Papers, Yale School of Management
ysm254, Yale School of Management, revised 01 Aug 2007.
- Fair Ray C, 2003. "Bootstrapping Macroeconometric Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, De Gruyter, vol. 7(4), pages 1-26, December.
- Ray C. Fair, 2001. "Bootstrapping Macroeconometric Models," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University 1345, Cowles Foundation for Research in Economics, Yale University, revised Jun 2003.
- Fair, Ray C., 1986. "Evaluating the predictive accuracy of models," Handbook of Econometrics, Elsevier, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 33, pages 1979-1995 Elsevier.
- Calzolari, Giorgio, 1987.
"La varianza delle previsioni nei modelli econometrici
[Forecast variance in econometric models]," MPRA Paper 23866, University Library of Munich, Germany.
- Ray C. Fair, 1978.
"Estimating the Expected Predictive Accuracy of Econometric Models,"
Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University
480, Cowles Foundation for Research in Economics, Yale University.
- Fair, Ray C, 1980. "Estimating the Expected Predictive Accuracy of Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(2), pages 355-78, June.
- Bianchi, Carlo & Brillet, Jean-Louis & Calzolari, Giorgio & Panattoni, Lorenzo, 1987. "Forecast variance in simultaneous equation models: analytic and Monte Carlo methods," MPRA Paper 24541, University Library of Munich, Germany.
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