IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/23355.html
   My bibliography  Save this paper

Stochastic simulation and dynamic properties of the new version of the Italian model

Author

Listed:
  • Bianchi, Carlo
  • Calzolari, Giorgio
  • Cleur, Eugene M.
  • Gambetta, Guido
  • Stagni, Anna
  • Sterbenz, Frederic

Abstract

This paper describes the results of some stochastic simulation experiments performed on the most updated version of the Italian model. Due to a change in the income accounts system, the model has been completely reestimated using the new quarterly data. It consists of 128 equations, 50 of which are stochastic. As regards to the structure of the model, the main differences with respect to the previous version lie in the income sector: now the different components of income distribution are determined endogenously and disaggregated by sector, and affect directly private disposable income. Stochastic simulation has been performed using the program described in [1]. The generation of pseudo randorn numbers with multivariate normal distribution has been performed using the Box-Muller technique [3] and McCarthy algorithm [9].

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:23355
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/23355/1/MPRA_paper_23355.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Bert G. Hickman, 1972. "Econometric Models of Cyclical Behavior, Volumes 1 and 2," NBER Books, National Bureau of Economic Research, Inc, number hick72-1, July.
    3. 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.
    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. Calzolari, Giorgio, 1979. "Stochastic simulation experiments on Model 5 of Bonn University," MPRA Paper 24456, University Library of Munich, Germany.
    2. 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.
    3. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1979. "A package for analytic simulation of econometric models," MPRA Paper 24134, University Library of Munich, Germany.
    4. Bianchi, Carlo & Calzolari, Giorgio & Cleur, Eugene M., 1978. "Spectral analysis of stochastic and analytic simulation results for a nonlinear model for the Italian economy," MPRA Paper 22966, University Library of Munich, Germany, revised 1978.
    5. Bianchi, Carlo & Calzolari, Giorgio, 1979. "Simulation of a nonlinear econometric model," MPRA Paper 24440, University Library of Munich, Germany, revised 1980.
    6. 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.
    7. Christopher L. Gilbert & Duo Qin, 2005. "The First Fifty Years of Modern Econometrics," Working Papers 544, Queen Mary University of London, School of Economics and Finance.
    8. Corrado, Luisa & Holly, Sean, 2003. "Nonlinear Phillips curves, mixing feedback rules and the distribution of inflation and output," Journal of Economic Dynamics and Control, Elsevier, vol. 28(3), pages 467-492, December.
    9. Calzolari, Giorgio & Neri, Laura, 2002. "Imputation of continuous variables missing at random using the method of simulated scores," MPRA Paper 22986, University Library of Munich, Germany, revised 2002.
    10. E. Philip Howrey, 1980. "The Role of Time Series Analysis in Econometric Model Evaluation," NBER Chapters, in: Evaluation of Econometric Models, pages 275-307, National Bureau of Economic Research, Inc.
    11. Bianchi, Carlo & Calzolari, Giorgio & Sartori, Franco, 1982. "Stime 2SLS con componenti principali di un modello non lineare dell' economia italiana [2SLS with principal components: estimation of a nonlinear model of the Italian economy]," MPRA Paper 22665, University Library of Munich, Germany, revised 1982.
    12. Jacques Mazier, 1975. "Les prix dans les modèles macroéconomiques appliqués : détermination implicite ou explicite," Revue Économique, Programme National Persée, vol. 26(3), pages 447-477.
    13. 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.
    14. Giorgio Calzolari & F. Mealli & C. Rampichini, 2001. "Alternative Simulation-Based Estimators of Logit Models with Random Effects," Econometrics Working Papers Archive quaderno48, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    15. Corrado, L. & Holly, S., 2000. "Piecewise Linear Feedback Rules in a Non Linear Model of the Phillips Curve: Evidence from the US and the UK," Cambridge Working Papers in Economics 0019, Faculty of Economics, University of Cambridge.
    16. 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.
    17. Calzolari, Giorgio, 2012. "Econometric notes," MPRA Paper 71440, University Library of Munich, Germany.
    18. 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.
    19. Calzolari, Giorgio & Corsi, Paolo, 1977. "Stochastic simulation as a validation tool for econometric models," MPRA Paper 21226, University Library of Munich, Germany.
    20. Bianchi, Carlo & Calzolari, Giorgio, 1980. "A simulation approach to some dynamic properties of econometric models," MPRA Paper 24421, University Library of Munich, Germany.

    More about this item

    Keywords

    Stochastic simulation; econometric model; Italian economy; project Link;
    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

    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:23355. 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.