IDEAS home Printed from https://ideas.repec.org/p/anc/wgretl/5.html
   My bibliography  Save this paper

The SVAR addon for gretl

Author

Listed:
  • Riccardo Lucchetti

    (Universita' Politecnica delle Marche, Dipartimento di Scienze Economiche Sociali)

  • Sven Schreiber

    (Macroeconomic Policy Institute (IMK), Hans Bockler Foundation and Free University Berlin)

Abstract

The SVAR addon is a collection of gretl functions to estimate Structural Vector Autoregressions (SVARs) and to conduct inference on the resulting magnitudes such as the impulse response functions and short-run or long-run impact matrices. For the purpose of identifying the structural shocks short-run as well as long-run restrictions are supported, including those related to the cointegration properties in the case of non-stationary systems. For the stationary case a dialog-driven graphical interface is also offered. Inference can be based on the bootstrap, optionally using a bias correction as suggested in the literature. This documentation explains the addon's usage, capabilites and limitations, and provides some necessary econometric methodological background (version 1.32).

Suggested Citation

  • Riccardo Lucchetti & Sven Schreiber, 2018. "The SVAR addon for gretl," gretl working papers 5, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wgretl:5
    as

    Download full text from publisher

    File URL: http://docs.dises.univpm.it/web/quaderni/pdfgretl/gretl005.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Structural VARs; bootstrap;

    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; State Space Models
    • 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:anc:wgretl:5. 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: Maurizio Mariotti (email available below). General contact details of provider: https://edirc.repec.org/data/deancit.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.