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Persistent link: https://www.econbiz.de/10000613040
This work aims to assess whether the hypothesis of endogenous synchronisation of shocks is verified in the European Economic and Monetary Union (EMU). A state-space model, which yields time-varying coefficients, is estimated with structural demand and supply shocks to several European economies...
Persistent link: https://www.econbiz.de/10012917260
The purpose of this paper is to examine the self-enforcing nature of business cycle synchronisation in the process of monetary integration. Application of value added concept for description of business cycle and as a indicator of total economic activity is also discussed in the paper
Persistent link: https://www.econbiz.de/10012903578
Persistent link: https://www.econbiz.de/10001508032
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...
Persistent link: https://www.econbiz.de/10010225969
This paper applies volatility measures and VAR spectral analytic techniques to give a thorough description of the salient business cycle characteristics of central NIPA aggregates for the G7. Furthermore, their role in contributing to the supranational G7 and EURO15 cyclic dynamics is...
Persistent link: https://www.econbiz.de/10013320631
Persistent link: https://www.econbiz.de/10001403362
A defining feature of business cycles is the comovement of inputs at the sectoral level with aggregate activity. Standard models cannot account for this phenomenon. This paper develops and estimates a two-sector dynamic general equilibrium model which can account for this key regularity. My...
Persistent link: https://www.econbiz.de/10014064194
To analyze the international transmission of business cycle fluctuations, we propose a new multilevel dynamic factor model with a block structure that (i) does not restrict the factors to being orthogonal and (ii) mixes data sampled at quarterly and monthly frequencies. By means of Monte Carlo...
Persistent link: https://www.econbiz.de/10012305394