IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/24456.html
   My bibliography  Save this paper

Stochastic simulation experiments on Model 5 of Bonn University

Author

Listed:
  • Calzolari, Giorgio

Abstract

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).

Suggested Citation

  • Calzolari, Giorgio, 1979. "Stochastic simulation experiments on Model 5 of Bonn University," MPRA Paper 24456, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24456
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/24456/1/MPRA_paper_24456.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schmidt, Peter, 1978. "A Note on Dyamic Simulation Forecasts and Stochastic Forecast-Period Exogenous Variables," Econometrica, Econometric Society, vol. 46(5), pages 1227-1230, September.
    2. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "A Note on the Numerical Results by Goldberger, Nagar, and Odeh," Econometrica, Econometric Society, vol. 47(2), pages 505-506, March.
    3. 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.
    4. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "Stochastic simulation of econometric models: installation procedures and user's instructions," MPRA Paper 24173, University Library of Munich, Germany.
    5. 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.
    6. 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, vol. 21(2), pages 355-378, June.
    7. Howrey, E Philip & Klein, Lawrence R, 1972. "Dynamic Properties of Nonlinear Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 599-618, October.
    8. McCarthy, Michael D, 1972. "A Note on the Forecasting Properties of Two Stage Least Squares Restricted Reduced Forms-The Finite Sample Case," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 757-761, October.
    9. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "A Monte Carlo approach to compute the asymptotic standard errors of dynamic multipliers," Economics Letters, Elsevier, vol. 2(2), pages 161-164.
    10. Schmidt, Peter, 1977. "Some Small Evidence on the Distribution of Dynamic Simulation Forecasts," Econometrica, Econometric Society, vol. 45(4), pages 997-1005, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "A package for analytic simulation of econometric models," MPRA Paper 24134, University Library of Munich, Germany.
    2. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici [Forecast variance in econometric models]," MPRA Paper 23866, University Library of Munich, Germany.
    3. Bianchi, Carlo & Calzolari, Giorgio, 1979. "Simulation of a nonlinear econometric model," MPRA Paper 24440, University Library of Munich, Germany, revised 1980.
    4. Bianchi, Carlo & Calzolari, Giorgio, 1978. "La varianza dell'errore di previsione nei modelli econometrici: applicazione ad un modello nonlineare dell'economia italiana [The variance of forecast errors in econometric models: application to a," MPRA Paper 29121, University Library of Munich, Germany.
    5. Bianchi, Carlo & Calzolari, Giorgio, 1982. "Evaluating forecast uncertainty due to errors in estimated coefficients: empirical comparison of alternative methods," MPRA Paper 22559, University Library of Munich, Germany.
    6. Bianchi, Carlo & Calzolari, Giorgio & Brillet, Jean-Louis, 1987. "Measuring forecast uncertainty : A review with evaluation based on a macro model of the French economy," International Journal of Forecasting, Elsevier, vol. 3(2), pages 211-227.
    7. Bianchi, Carlo & Calzolari, Giorgio & Cleur, Eugene M. & Gambetta, Guido & Stagni, Anna & Sterbenz, Frederic, 1978. "Stochastic simulation and dynamic properties of the new version of the Italian model," MPRA Paper 23355, University Library of Munich, Germany, revised Oct 1978.
    8. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "Some results on the stochastic simulation of a nonlinear model of the Italian economy," MPRA Paper 22684, University Library of Munich, Germany.
    9. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "Stochastic simulation of econometric models: installation procedures and user's instructions," MPRA Paper 24173, University Library of Munich, Germany.
    10. Bianchi, Carlo & Calzolari, Giorgio & Doret, Remi, 1978. "Ven der Giessen's reordering algorithm in the program for stochastic simulation of econometric models," MPRA Paper 24880, University Library of Munich, Germany.
    11. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1977. "The asymptotic distribution of impact multipliers for a non-linear structural econometric model," MPRA Paper 24537, University Library of Munich, Germany, revised 1979.
    12. Calzolari, Giorgio & Corsi, Paolo, 1977. "Stochastic simulation as a validation tool for econometric models," MPRA Paper 21226, University Library of Munich, Germany.
    13. Bianchi, Carlo & Calzolari, Giorgio, 1980. "A simulation approach to some dynamic properties of econometric models," MPRA Paper 24421, University Library of Munich, Germany.
    14. Calzolari, Giorgio, 1979. "The asymptotic distribution of power spectra in dynamic econometric models," MPRA Paper 24460, University Library of Munich, Germany.
    15. Gajda, Jan B. & Markowski, Aleksander, 1998. "Model Evaluation Using Stochastic Simulations: The Case of the Econometric Model KOSMOS," Working Papers 61, National Institute of Economic Research.
    16. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "On the restricted reduced form of the Klein-I model: revised computations to complete "A note on the numerical results by Goldberger, Nagar and Odeh", Econometrica, 47 (1979)," MPRA Paper 24137, University Library of Munich, Germany.
    17. Bianchi, Carlo & Calzolari, Giorgio, 1983. "Standard errors of forecasts in dynamic simulation of nonlinear econometric models: some empirical results," MPRA Paper 22657, University Library of Munich, Germany, revised 1983.
    18. Iglesias Emma M., 2011. "Constrained k-class Estimators in the Presence of Weak Instruments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-13, September.
    19. West, Kenneth D., 2006. "Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 3, pages 99-134, Elsevier.
    20. Ray C. Fair, 1986. "Interest Rate and Exchange Rate Determination," Cowles Foundation Discussion Papers 810, Cowles Foundation for Research in Economics, Yale University.

    More about this item

    Keywords

    Stochastic simulation; macroeconometric model; German economy;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:24456. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.