Time-varying causality between research output and economic growth in US

dc.contributor.authorInglesi-Lotz, Roula
dc.contributor.authorBalcilar, Mehmet
dc.contributor.authorGupta, Rangan
dc.contributor.emailroula.inglesi-lotz@up.ac.zaen_US
dc.date.accessioned2014-08-06T08:47:50Z
dc.date.available2014-08-06T08:47:50Z
dc.date.issued2014-07
dc.description.abstractThis main purpose of this paper is to investigate the causal relationship between knowledge (research output) and economic growth in US over 1981–2011. To overcome the issues of ignoring possible instability and hence, falsely assuming a constant relationship through the years, we use bootstrapped Granger non-causality tests with fixedsize rolling-window to analyze time-varying causal links between two series. Instead of just performing causality tests on the full sample which assumes a single causality relationship, we also perform Granger causality tests on the rolling sub-samples with a fixedwindow size. Unlike the full-sample Granger causality test, this method allows us to capture any structural shifts in the model, as well as, the evolution of causal relationships between sub-periods, with the bootstrapping approach controlling for small-sample bias. Full-sample bootstrap causality tests reveal no causal relationship between research and growth in the US. Further, parameter stability tests indicate that there were structural shifts in the relationship, and hence, we cannot entirely rely on full-sample results. The bootstrap rolling-window causality tests show that during the sub-periods of 2003–2005 and 2009, GDP Granger caused research output; while in 2010, the causality ran in the opposite direction. Using a two-state regime switching vector smooth autoregressive model, we find unidirectional Granger causality from research output to GDP in the full sample.en_US
dc.description.librarianhb2014en_US
dc.description.urihttp://link.springer.com/journal/11192en_US
dc.identifier.citationInglesi-Lotz, R, Balcilar, M & Gupta, R 2014, 'Time-varying causality between research output and economic growth in US', Scientometrics, vol. 100, no. 1, pp. 203-216.en_US
dc.identifier.issn0138-9130 (print)
dc.identifier.issn1588-2861 (online)
dc.identifier.other10.1007/s11192-014-1257-z
dc.identifier.urihttp://hdl.handle.net/2263/41086
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Akademiai Kiado, Budapest, Hungary 2014. The original publication is available at : http://link.springer.com/journal/11192.en_US
dc.subjectResearch outputen_US
dc.subjectScientometricsen_US
dc.subjectEconomic growthen_US
dc.subjectCausal relationshipen_US
dc.subjectKnowledgeen_US
dc.subjectUnited States (US)en_US
dc.subjectCausalityen_US
dc.titleTime-varying causality between research output and economic growth in USen_US
dc.typePostprint Articleen_US

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