Skip to main navigation Skip to search Skip to main content

vgets: A command to estimate general-to-specific VARs, Granger causality, steady-state effects, and cumulative impulse–responses

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Vector autoregression (VAR) estimation is a vital tool in economic studies. VARs, however, can be dimensionally cumbersome and overparameterized. The vgets command allows for a general-to-specific estimation of VARs— overcoming the potential overparameterization—and provides tests for Granger causality, estimates of the long-run effects, and the cumulative impulse–response of each variable in the system; it also offers diagnostics that facilitate a genuinecausality interpretation of the Granger causality tests.

Original languageEnglish
Pages (from-to)426-434
Number of pages9
JournalStata Journal
Volume20
Issue number2
DOIs
StatePublished - 1 Jun 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© StataCorp LLC 2020.

Keywords

  • Granger causality
  • cumulative impulse–responses
  • general-to-specific vector autoregressions
  • st0602
  • steady-state effects
  • vgets

Fingerprint

Dive into the research topics of 'vgets: A command to estimate general-to-specific VARs, Granger causality, steady-state effects, and cumulative impulse–responses'. Together they form a unique fingerprint.

Cite this