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Detecting positive feedback in multivariate time series: The case of metal prices and US inflation
Authors:Catherine Kyrtsou  Walter C. Labys
Affiliation:1. University of Macedonia, Department of Economics, Egnatia str., 156, 54006, Thessaloniki, Greece;2. Natural Resource Economics, West Virginia University, Morgantown, WV 26506-6108, USA
Abstract:The objective of this paper is to examine causality and feedback relationships between primary commodity prices and US inflation. To this end, the bivariate noisy Mackey–Glass process recently developed by Kyrtsou and Labys [Evidence for chaotic dependence between US inflation and commodity prices, J. Macroecon. 28(1) (2006) 256–266] has been applied to assess this relationship. Results obtained support evidence in favour of causality, which can help to identify the influences of speculative price behaviour on inflation.
Keywords:Positive feedback   Multivariate time series   Noisy chaos   Noisy Mackey&ndash  Glass process   Economic time series
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