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THEORY AND PRACTICE OF GVAR MODELLING
Author(s) -
Chudik Alexander,
Pesaran M. Hashem
Publication year - 2016
Publication title -
journal of economic surveys
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.657
H-Index - 92
eISSN - 1467-6419
pISSN - 0950-0804
DOI - 10.1111/joes.12095
Subject(s) - economics , autoregressive model , econometrics , section (typography) , management science , macroeconomics , computer science , operating system
The Global Vector Autoregressive (GVAR) approach has proven to be a very useful approach to analyse interactions in the global macroeconomy and other data networks where both the cross‐section and the time dimensions are large. This paper surveys the latest developments in the GVAR modelling, examining both the theoretical foundations of the approach and its numerous empirical applications. We provide a synthesis of existing literature and highlight areas for future research.