The book describes the structure of Keynes-Leontief Model (KLM) of Japan and discuss how the Japanese economy could overcome the long-term economic deflation since the mid-1990s. The large scale econometric model and its analysis have been important for planning several policy measures and examining the economic structure of a country. However, it seems that development and maintenance of the KLM would be very costly. The book discusses how the KLM is developed and employed for the policy analyses.

This book offers the representative macro-econometric models and their applications for the Japanese economy in different development stages throughout postwar years up to the present. It presents a summary of three types of macro-econometric models and analyses: ? Social accounting analyses of national income and related indices ? following the tradition of C Clark, S Kuznets, R Stone and World Bank Development Reports; ? Inter-industrial and inter-regional analyses of the Japanese economy a la W Leontief and the CGE (computable general equilibrium) type of applications to Comprehensive Development Plans; ? Macro-econometric model building for the Japanese economy and its applications with a survey of various models in Japan including the historic Osaka University ISER (Institute of Social and Economic Research) model and present day Government models. As many Asian economies are going through the stages of development that Japan has experienced for the past few decades, to them and other developing countries this book will be extremely relevant as a reference for years to come.

An in-depth analysis of the strengths and limitations of computer models in helping solve social, economic and political problems, using nine recent models as examples. Addressing the growing disillusionment with models among researchers and policymakers, the authors discuss what has been done and what still needs to be done to make modeling a more viable and realistic analytical tool.

For a one-semester senior or beginning graduate level course in power system dynamics. This text begins with the fundamental laws for basic devices and systems in a mathematical modeling context. It includes systematic derivations of standard synchronous machine models with their fundamental controls. These individual models are interconnected for system analysis and simulation. Singular perturbation is used to derive and explain reduced-order models.

This important report, Global Trends 2030-Alternative Worlds, released in 2012 by the U.S. National Intelligence Council, describes megatrends and potential game changers for the next decades. Among the megatrends, it analyzes: - increased individual empowerment - the diffusion of power among states and the ascent of a networked multi-polar world - a world's population growing to 8.3 billion people, of which sixty percent will live in urbanized areas, and surging cross-border migration - expanding demand for food, water, and energy It furthermore describes potential game changers, including: - a global economy that could thrive or collapse - increased global insecurity due to regional instability in the Middle East and South Asia - new technologies that could solve the problems caused by the megatrends - the possibility, but by no means the certainty, that the U.S. with new partners will reinvent the international system Students of trends, forward-looking entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades will find this essential reading.

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.