vgets: A command to estimate general-to-specific VARs, Granger causality, steady-state effects, and cumulative impulse–responses
Muhammad Asali
Stata Journal, 2020, vol. 20, issue 2, 426-434
Abstract:
Vector autoregression (VAR) estimation is a vital tool in economic studies. VARs, however, can be dimensionally cumbersome and overparameter- ized. 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 genuine-causality interpretation of the Granger causality tests.
Keywords: vgets; general-to-specific vector autoregressions; Granger causality; steady-state effects; cumulative impulse–responses (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0602 link to article purchase
http://www.stata-journal.com/software/sj20-2/st0602/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:20:y:2019:i:2:p:426-434
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
DOI: 10.1177/1536867X20931004
Access Statistics for this article
Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins
More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().