 Combining Input-Output (IO) analysis with Global Vector Autoregressive (GVAR) modeling: Evidence for the USA (1992-2006)Konstantinos Konstantakis and Panayotis Michaelides MPRA Paper from University Library of Munich, Germany Abstract: The purpose of this paper is to assess the interdependencies among the eight (8) main sectors of economic activity in the US economy, using quarterly data on output and labor fora period of fifteen years (1992-2006), just before the first signs of the global recession made their appearance. In this context, we set up a novel methodological framework which combines Input-Output (IO) analysis with state of the art Global Vector Autoregressive (GVAR) modeling. In addition, we use the IO matrices to provide a procedure in order to test for the existence of dominant sector(s) in the USA and estimate a GVAR model with dominant sector(s) and the exogenous variables of Global Credit and Global Trade acting as the transmission channels. Our results seem to suggest that the US economy has relatively limited connectivity, in terms of sectoral output and labor, among the various sectors. Keywords: GVAR; Input Output; US sectors; Weight Matrix (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:67111 Access Statistics for this paper More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC. |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.