Capital income taxation is a complicated issue because of the g- eral equilibrium implications these taxes have with regard to the int- sectoral and intertemporal allocation of economic resources. Together with Michael Stimmelmayr (CES, Munich) and Christian Keuschnigg (IFF, St. Gallen), Doina Radulescu from the Ifo Institute for E- nomic Research has designed a complex and particularly elegant - tertemporal general equilibrium model of the economy, called IfoMod. IfoMod makes it possible to calculate the welfare gains and losses from fundamental tax reforms in present value terms. One of the tax reforms Doina Radulescu analyses is the move - wards a dual income tax, as is used in some Scandinavian countries. She analyses this tax using German data, because it was recently p- posed, among others, by the German Council of Economic Advisors. In the meantime, IfoMod has become a standard tool for the Ifo Institute. According to the Council of Economic Advisors, it is not only sta- of-the-art, but one of the world's most developed and advanced CGE models for the purpose of analysing intertemporal allocation problems in growing economies. Hans-Werner Sinn Preface This book was written during my time acting as a PhD candidate in the Public Finance Department at the Ifo Institute for Economic Research in Munich.
There is a resurgence of interest in mental models due to advances in our understanding of how they can be used to help design and due to the development of practical methods to elicit them. This book brings both areas together with a focus on reducing domestic energy consumption. The book focuses on how mental models can be applied in design to bring out behaviour change resulting in increased achievement of home heating goals (reduced waste and improved comfort). This book also offers a method to extract and apply mental models to interface design. The approach enables mental models to be applied across domains when behaviour change was sought, and is validated as a useful design method.
Fundamental concepts of mathematical modeling<br> <br> Modeling is one of the most effective, commonly used tools in engineering and the applied sciences. In this book, the authors deal with mathematical programming models both linear and nonlinear and across a wide range of practical applications.<br> <br> Whereas other books concentrate on standard methods of analysis, the authors focus on the power of modeling methods for solving practical problems-clearly showing the connection between physical and mathematical realities-while also describing and exploring the main concepts and tools at work. This highly computational coverage includes:<br> * Discussion and implementation of the GAMS programming system<br> * Unique coverage of compatibility<br> * Illustrative examples that showcase the connection between model and reality<br> * Practical problems covering a wide range of scientific disciplines, as well as hundreds of examples and end-of-chapter exercises <br> * Real-world applications to probability and statistics, electrical engineering, transportation systems, and more <br> <br> <br> Building and Solving Mathematical Programming Models in Engineering and Science is practically suited for use as a professional reference for mathematicians, engineers, and applied or industrial scientists, while also tutorial and illustrative enough for advanced students in mathematics or engineering.
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