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The emergence of a new macro economy in Euro-Asia is a great
challenge for academics and policy makers alike. Our book focuses
on this macro economy and the monetary and fiscal policy responses.
As the new environment has evolved over time, private behaviour as
well as policy responses have changed. Policy makers as well as
private agents had to learn the new environment. In our book we
thus put heavy emphasis on uncertainty and learning. The first part
of the book explores monetary policies allowing for uncertainty and
time-varying behaviour of economic agents in markets, in particular
in the labour market and the monetary policy responses to it. We
study both forward and backward looking behaviour, learning and
robust control as well as the role of financial markets for
policies. The second part explores fiscal policy in the Euro-area,
its sustainability, its effects on economic growth and the attempts
of the Euro-area to stabilize the public debt. The third part
explores monetary and fiscal policy interactions in the Euro-area
countries. Since there are many national fiscal authorities but
only one monetary authority this is a particularly challenging
problem of Euro-area countries. Methodologically, we use modern
methods such as advanced econometric methodology, learning models
that allows to study time varying behaviour, and dynamic macro
modelling and dynamic optimization.
New developments in the field of high resolution imaging focus on
functional parameters pertaining to disease-specific medical
imaging. Such new diagnostic strategies are possible using
scintigraphic techniques and, more recently, by MRI and US. In
addition, new therapeutic concepts, including gene therapy, require
specific tracers or contrast media for therapy monitoring, for
example, enzyme activity and changes in receptor expression. For
this purpose scientists conducting basic research, expecially
molecular biologists, and clinicians must collaborate in order to
exploit the available interdisciplinary knowledge in the
development of new imaging technologies so as to incorporate the
molecular signals of diseases.
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