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...

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...

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...

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...

This note highlights a major reason to limit climate change to the lowest possible levels. This reason follows from the large increase in uncertainty associated with high levels of warming. This uncertainty arises from three sources: the change in climate itself, the change’s impacts at the...