This paper presents a modeling framework for macroeconomic growth dynamics; it is motivated by recent attempts to formulate and study 'integrated models' of the coupling between natural and socio-economic phenomena. The challenge is to describe the interfaces between human activities and the...

We apply the advanced time-and-frequency-domain method of singular spectrum analysis to study business cycle dynamics in a set of nine U.S. macroeconomic indicators. This method provides a robust way to identify and reconstruct shared oscillations, whether intermittent or modulated. We address...

We apply the advanced time-and-frequency-domain method of singular spectrum analysis to study business cycle dynamics in a set of nine U.S. macroeconomic indicators. This method provides a robust way to identify and reconstruct shared oscillations, whether intermittent or modulated. We address...

We apply the advanced time-and-frequency-domain method of singular spectrum analysis to study business cycle dynamics in a set of nine U.S. macroeconomic indicators. This method provides a robust way to identify and reconstruct shared oscillations, whether intermittent or modulated. We address...

The when and/or how improved environmental-performance leads to improved macroeconomic-performance under increasing likelihood of global-warming abatement are not well understood. We thus formulate a simple Stochastic Coupled Climate-Economy-Biosphere (CoCEB-S) model that is qualitatively...

The present work applies several advanced spectral methods to the analysis of macroeconomic fluctuations in three countries of the European Union: Italy, The Netherlands, and the United Kingdom. We focus here in particular on singular-spectrum analysis (SSA), which provides valuable spatial and...