The introduction of the thesis consists of four parts: first, we motivate our chosen macroeconomic setting by looking at some real world phenomena. For a better understanding of these phenomena, we argue that the mutual dynamic interactions between flScal policy and financial markets need to be closely examined in a macroeconomic framework. Second, we review different strands of the economic literature in order to show that most of the literature has so far exclusively concentrated either on fmancial market dynamics or on flScal policy issues. We conclude that a more integrated model setting is called for in order to explain the dynamic interactions observed in reality. Third, we discuss at length the economic assumptions underlying our model. This avoids multiple repetition later on. Finally, we outline the structure of the thesis and the objectives we pursue in the different chapters. 1. 1 Motivation Fiscal policy and financial market reactions are increasingly receiving world wide attention. The most recent examples are the Maastricht criteria about flScal control, the South-East Asia financial crisis and the resulting IMF policy stance, the high level of public debt in developed and developing countries and the effect on interest rates and economic growth. In contrast to the still underdeveloped theoretical literature on these dynamic links, finding empirical evidence that supports the existence of these links is not a very hard task.
To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods.
The introduction of the thesis consists of four parts: first, we motivate our chosen macroeconomic setting by looking at some real world phenomena. For a better understanding of these phenomena, we argue that the mutual dynamic interactions between flScal policy and financial markets need to be closely examined in a macroeconomic framework. Second, we review different strands of the economic literature in order to show that most of the literature has so far exclusively concentrated either on fmancial market dynamics or on flScal policy issues. We conclude that a more integrated model setting is called for in order to explain the dynamic interactions observed in reality. Third, we discuss at length the economic assumptions underlying our model. This avoids multiple repetition later on. Finally, we outline the structure of the thesis and the objectives we pursue in the different chapters. 1. 1 Motivation Fiscal policy and financial market reactions are increasingly receiving world wide attention. The most recent examples are the Maastricht criteria about flScal control, the South-East Asia financial crisis and the resulting IMF policy stance, the high level of public debt in developed and developing countries and the effect on interest rates and economic growth. In contrast to the still underdeveloped theoretical literature on these dynamic links, finding empirical evidence that supports the existence of these links is not a very hard task.
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