IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/23073.html
   My bibliography  Save this paper

Stochastic simulation: a package for Monte Carlo experiments on econometric models

Author

Listed:
  • Bianchi, Carlo
  • Calzolari, Giorgio
  • Corsi, Paolo

Abstract

The stochastic simulation of an econometric model is an application of Monte Carlo methods. Deterministic simulation is performed setting error terms to zero. Stochastic simulation, on the contrary, takes into account the disturbance terms, solving the model after adding a vector of pseudo-random numbers drawn from a prespecified multivariate distribution.

Suggested Citation

  • Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "Stochastic simulation: a package for Monte Carlo experiments on econometric models," MPRA Paper 23073, University Library of Munich, Germany, revised Mar 1978.
    • Handle: RePEc:pra:mprapa:23073
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/23073/1/MPRA_paper_23073.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Stochastic simulation; econometric models; Monte Carlo methods;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    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:23073. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.