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GVARs, as the name suggests, model the global economy and add a global dimension to the standard VAR framework--the countries included in the GVAR account for 90 percent of world output.
GVAR models can also be useful for producing forecasts of macroeconomic variables.
(2017), 'Global and domestic modeling of macroeconomic shocks: a GVAR analysis of Ireland', Research Technical Paper 09/RT/17, Central Bank of Ireland 2017.
(6) Following Barro ( 1986), GVAR and YVAR are calculated as
To estimate the potential impact of spillovers from a financial crisis in the eurozone, we employ the GVAR model originally introduced by Pesaran, Schuermann and Weiner (2004) and further developed by Dees et al.
The GVAR approach has been used by several researchers to examine spillover effects of this type.
The GVAR methodology has several attractive features:
The GVAR explicitly aims to capture international economic linkages, especially linkages between the macroeconomic and financial sides of economies.
These data play an important role in developing and evaluating ABI product algorithms, testing user ingest and data-handling systems so that users can transition from the current GOES-variable (i.e., GVAR) data format to the future GOES-R Rebroadcast (GRB) data stream, measuring the effects of changes in instrument capabilities on ABI products, and training users through PG activities.
On methodological grounds, the OCA analysis has been enriched by the use of macro econometric methods, such as global VAR (GVAR) or structural VAR (SVAR), providing new estimates on the effects for UK of joining or staying outside (Artis 2006), with no clear-cut conclusions.
All of the special Geostationary Operational Environmental Satellite-14 (GOES-14) GOES Variable (GVAR) rapid scan data have been archived, by the Comprehensive Large Array-data Stewardship System (CLASS), the Space Science and Engineering Center (SSEC) Data Center, or others.
The NOAA/National Environmental Satellite, Data, and Information Service (NESDIS)/Office of Satellite and Product Operations (OSPO) is especially thanked for the production of the GVAR data.
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