Reference : Old series, new signals. The economic cycle in light of wavelet analysis
Scientific journals : Article
Business & economic sciences : Quantitative methods in economics & management
Computational Sciences
http://hdl.handle.net/10993/43307
Old series, new signals. The economic cycle in light of wavelet analysis
English
Kozlowski, Diego mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Nov-2019
Cuadernos del CIMBAGE
University of Buenos Aires
21
II
Yes
International
1666-5112
1669-1830
Buenos Aires
Argentina
[en] Wavelets ; Cycles ; Wage & GDP
[en] The economic cycle is a subject of recurring debate in the specialized bibliography. Both from the conceptual point of view and its empirical recognition, there is no consensus regarding the causes and concrete forms of this characteristic of the economy. In particular, the statements regarding the existence of a long wave, proposed by different authors of the early twentieth century, are a source of debate. In this work we propose an empirical review of series traditionally used in economic analysis, such as the product, wages, and gold, for the United States and the United Kingdom, from the 18th century to the present, using a technique originally developed in the area of signal analysis. The objective is to seek new evidence regarding the presence of a well-deļ¬ned cycle in long periods of economic history. For this, we use Wavelets analysis in search of low-frequency signals, or long periods. The results show favor able evidence to the existence of three distinct cycles, one of which would be of amplitude around 50 years.
http://hdl.handle.net/10993/43307
https://ojs.econ.uba.ar/index.php/CIMBAGE/article/view/1587

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