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The existence,endogeneity, and synchronization of long waves: Structural time series model estimates
Institution:1. Graduate Program in Animal Science, Pontifícia Universidade Católica do Paraná (PUCPR), Rua Imaculada Conceição, 1155, 80215-901, Curitiba, Paraná, Brazil;2. Core for Cell Technology, School of Medicine, Pontifícia Universidade Católica do Paraná (PUCPR), Rua Imaculada Conceição, 1155, 80215-901, Curitiba, Paraná, Brazil;1. Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA 94305, USA;2. School of Natural Sciences, California State University Monterey Bay, Seaside, CA 93955, USA;3. DataONE, University of New Mexico, Albuquerque, NM 87106, USA;4. Hopkins Marine Station and Stanford Center for Ocean Solutions, Stanford University, Pacific Grove, CA 93950, USA
Abstract:In the spirit of David Gordon's application of advanced econometric techniques to problems in political economy and his Interest in long waves, this paper develops a structural time series model for testing the existence, endogeneity, and synchronization of long waves in the output series for 11 countries. The results show a strong long wave pattern with a high degree of endogenous behavior in 8 of 11 GDP series. Strong evidence for the synchronization of long waves based on international transmission mechanisms is found, while weaker evidence exists for synchronization based on similar institutional structures. Other long wave hypotheses are also addressed
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