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This collection of papers focuses on the recent pension reform experiences in Central-Eastern Europe, while starting from a broader theoretical and empirical context. It provides evidence for the political feasibility of radical pension reform, considered unlikely in the West. The approach is both multi-disciplinary and cross-regional: The book contains papers by economists, political scientists and sociologists. The authors come from Germany, Poland, Hungary, the Czech Republic, and the US. The volume consists of four parts: First, general questions of transformation and social security in post-1989 Central Eastern Europe are addressed, followed by an introduction into issues and role models in the international pension reform debate. Then, three Central European country cases are presented, analysing institutional legacies, recent reform measures and relevant political actors. A comparative section on Central-Eastern European pension reforms concludes this book.
Two general questions stood at the beginning of this PhD-thesis, namely: • What are the mechanisms which lead to the emergence and establishment of new technologies? • How can this process of technological change be influenced politically? In this sense, conceptual and theoretical interests were the early driving forces of the research work. This is also reflected in the considerable attention paid to the nature of technological change and political control. The result is an holistic per spective which builds on inputs from different disciplines and aims at dynamic interpretation. This, however, created a severe methodological problem: How could such a comprehensive perspective be used c...
This book comprises the articles of the 6th Econometric Workshop in Karlsruhe, Germany. In the first part approaches from traditional econometrics and innovative methods from machine learning such as neural nets are applied to financial issues. Neural Networks are successfully applied to different areas such as debtor analysis, forecasting and corporate finance. In the second part various aspects from Value-at-Risk are discussed. The proceedings describe the legal framework, review the basics and discuss new approaches such as shortfall measures and credit risk.
Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applica...
The world is increasingly concerned with bridging the developmental gap between the developed and developing countries. With the establishment of a number of institutions for funding the projects including the World Bank, Asian Development Bank, and many other agencies, the need to develop mechanisms to assess economically viable projects is more important than ever. The Social-Cost Benefit Analysis (SCBA) is an important technique used in formulating, appraising, and evaluating projects. It is a facet of applied welfare economics which is increasingly being used to identify and assess public projects in both developing and developed countries. This volume presents a comprehensive view of co...
Operations Research is concerned with making good decisions among many alternatives. A problem in the real world is modelled, usually on mathematical terms, then mathematical techniques, with data analysis and computational algorithms, are applied, in ord
Computational Techniques for Modelling Learning in Economics offers a critical overview of the computational techniques that are frequently used for modelling learning in economics. It is a collection of papers, each of which focuses on a different way of modelling learning, including the techniques of evolutionary algorithms, genetic programming, neural networks, classifier systems, local interaction models, least squares learning, Bayesian learning, boundedly rational models and cognitive learning models. Each paper describes the technique it uses, gives an example of its applications, and discusses the advantages and disadvantages of the technique. Hence, the book offers some guidance in ...
The book examines the relationship between inequality, growth and technological progress. It provides a broad overview of the existing literature and introduces specific, innovative aspects about the impact of inequality and redistribution on growth when growth is driven by human or physical capital investments, as well as the impact of technological progress and accumulation on the distribution of earnings. There is a special focus on the role of social comparison, redistributive taxation and new information technologies for the relationship between inequality and growth. The analytical part of the book mainly consists of endogenous growth models.
Since the 1980s many developing countries have implemented macro-economic policy reforms to curb inflation, reduce fiscal deficits and control foreign debt. The policy instruments used, such as exchange rate adjustment, budget cuts, trade policy reforms, public expenditure reviews and privatisation, have different and sometimes opposite consequences for agricultural land use. During the same period awareness was growing that deteriorating soil quality could become a limiting factor to increase or even sustain agricultural production. As a result, food availability and even accessibility for large population groups in developing countries may be jeopardised in the near future. Recently, quant...
and Feldman, 1996 or Audretsch and Stephan, 1996) show that unformalized knowledge may playa major role in the innovation of new products. Now if unformalized knowledge is communicated personally, distance will be an important variable in this process, since the intensity of contacts between persons can be expected to be negatively correlated to the distance between them. In the discussion of section 3.3.1 (page 42) we saw that it was this aspect of localization that Marshall had in mind when he was alluding to "local trade secrets".4 Note that if this spatial dimension of communication between agents exists, it is possible to transfer it to regional aggregates of agents: the closer two regi...