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Persistent link: https://www.econbiz.de/10003644217
result is inconsistent with empirical observations. In this paper, we develop a matching model to address this inconsistency …. We argue that market friction, through search imperfections due to lack of information by carriers on the (future) demand … matching model is numerically applied to the inland navigation shipping market in the Rhine river area in Western-Europe. We …
Persistent link: https://www.econbiz.de/10011373837
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A new paradigm for transport economists has been established: revenues of a welfare-maximising road tax should be employed to reduce the level of a distortionary income tax. An essential assumption to reach this conclusion is that the number of workdays is optimally chosen, whereas daily...
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In this paper we investigate whether the dynamic properties of the U.S. business cycle have changed in the last fifty years. For this purpose we develop a flexible business cycle indicator that is constructed from a moderate set of macroeconomic time series. The coincident economic indicator is...
Persistent link: https://www.econbiz.de/10011376640
To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...
Persistent link: https://www.econbiz.de/10011346480
We adopt an unobserved components time series model to extract financial cycles for the United States and the five largest euro area countries over the period 1970 to 2014. We find that credit, the credit-to-GDP ratio and house prices have medium-term cycles which share a few common statistical...
Persistent link: https://www.econbiz.de/10011456728
We consider unobserved components time series models where the components are stochastically evolving over time and are subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of the observed time series. We develop a simulated...
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