Business cycles are complex phenomena which oscillate because of economic downturns and expansions. Recurrence quantification analysis (RQA) detects state changes without necessitating any a priori mathematical assumption and highlight hidden features of the dynamics both at equilibrium and near transition phases. This paper aims to explore some potential application of recurrence quantification analysis in detecting cycles in economy and compares them with oscillations derived from a Kaldor-Kalecki non-linear model.
RQA correlations on business cycles: A comparison between real and simulated data
giovanna zimatore
2019-01-01
Abstract
Business cycles are complex phenomena which oscillate because of economic downturns and expansions. Recurrence quantification analysis (RQA) detects state changes without necessitating any a priori mathematical assumption and highlight hidden features of the dynamics both at equilibrium and near transition phases. This paper aims to explore some potential application of recurrence quantification analysis in detecting cycles in economy and compares them with oscillations derived from a Kaldor-Kalecki non-linear model.File in questo prodotto:
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