Nonlinear Models, Labour Markets and Exchange offers a number of broad introductory surveys in the areas of nonlinear modelling, labour economics and the economic analysis of exchange. This collection of articles consists largely of recently published refereed papers. The early chapters provide an introduction to the analysis of 'chaos and strange attractors' and the use of the very flexible generalised exponential family of frequency distributions in analysing both time series and cross-sectional distributions. The volume then provides syntheses of the theories of internal labour markets, trade union bargaining, and population ageing and its implications. It goes on to survey a range of topics in the broad area of the theory of exchange, which is central to the neoclassical economic model. Finally, the book provides some advice for students who are about to start their first piece of research. It ends with a unique survey of the history of economic analysis. Providing introductory material and syntheses of a wide range of topics, Nonlinear Models, Labour Markets and Exchange will be welcomed by economics academics and researchers interested in labour economics and econometrics.

A sequel to Creedy and Martin's (eds.) Chaos and Nonlinear Models (1994). Compiles recent developments in such techniques as cross- sectional studies of income distribution and discrete choice models, time series models of exchange rate dynamics and jump processes, and artificial neural networks and genetic algorithms of financial markets. Also considers the development of theoretical models and estimating and testing methods, with a wide range of applications in microeconomics, macroeconomics, labor, and finance. Annotation copyrighted by Book News, Inc., Portland, OR

Nonlinear Labor Market Dynamics discusses adjustment processes in labor markets. Contrary to linear-stochastic approaches this book is based on a non-linear deterministic framework. It is shown that even textbook-like-models of the labor market can generate long lasting adjustment processes, local instabilities, and chaotic movements, once nonlinear relationships and widely accepted adjustment rules are introduced. Thus, labor market dynamics may have an endogenous component that is governed by a nonlinear deterministic core. Of course, all results are tied to the particular models discussed in this book. Nevertheless, these models imply that by incorporating nonlinear relationships, one may arrive at an explanation of labor market behavior where linear stochastic approaches fell. Time series studies for German labor market data support this point of view.

The need to understand the theories and applications of economic and finance risk has been clear to everyone since the financial crisis, and this collection of original essays proffers broad, high-level explanations of risk and uncertainty. The economics of risk and uncertainty is unlike most branches of economics in spanning from the individual decision-maker to the market (and indeed, social decisions), and ranging from purely theoretical analysis through individual experimentation, empirical analysis, and applied and policy decisions. It also has close and sometimes conflicting relationships with theoretical and applied statistics, and psychology. The aim of this volume is to provide an overview of diverse aspects of this field, ranging from classical and foundational work through current developments. - Presents coherent summaries of risk and uncertainty that inform major areas in economics and finance - Divides coverage between theoretical, empirical, and experimental findings - Makes the economics of risk and uncertainty accessible to scholars in fields outside economics

Non-linear models are increasingly being applied to phenomena that are otherwise very difficult to model such as financial markets, economic growth, agricultural price cycles, business cycles, diffusion processes and overlapping generation models. Chaos and Non-Linear Models in Economics makes important advances in the theory and application of non-linear modelling accessible to advanced students. The contributions to this volume include both introductory chapters which review the fundamental theoretical and statistical characteristics of non-linear models - and keep the use of mathematics to a minimum - and chapters which introduce more sophisticated techniques.

The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

The IMF’s World Economic Outlook is packed with country specific facts, figures, and worldwide projections that present the outlook for growth, inflation, trade, and other economic developments in a clear, practical format. Leading international economists pull together the latest data on key topics, producing informed projections and policy analyses that show where the global economy is headed in the years to come. Business executives, policymakers, bankers, investors, marketing strategists, and economists worldwide refer to the WEO with confidence because it delivers a balanced view of the current economic situation, built upon the respected and extensive macroeconomic expertise and statistical resources of the IMF. The WEO is the product of a unique international exercise in information gathering and analysis performed by over 1,000 economists on the IMF staff. An annual subscription to the World Economic Outlook, published at least twice a year in English, French, Spanish, and Arabic, offers a comprehensive assessment of the international economic situation as well as prospects for the future. With its analyses backed by the expertise and unparalleled resources of the IMF, the World Economic Outlook is the authoritative reference in its field. Today, when even small economic fluctuations can trigger major financial swings, the WEO supplies a solid source of actionable information and data.

In this book on disequilibrium, growth and labor market dynamics we take predominantly a macroeconomic perspective. We present a working model that can easily be varied in different directions in order to subsume innovations in the literature on macroeconomics, old and new, and to contribute to important currently discussed macroeconomic issues. Our working model is set up in a way that there is a close relationship between our presented dynamic models and modern macro econometric models with disequilibrium both in the labor and the goods markets. One of our objectives is, therefore, to narrow the gap between theoretical and applied structural macrodynamic model building. We hope that the book will be a useful reference for all researchers, academic teachers and practitioners of macroeconomic and macro econometric model building who are interested in economic dynamics, independently of whether they use equilibrium or disequilibrium methods in their own research. We base this hope on the fact that our approach contains a number of unique features. The emphasis on the identification and analysis of the basic feedback mechanisms at work in modern macro economies. A detailed study of the partial as well as integrated dynamic interaction between these feedback mechanisms that consti tute the interdependence of markets and sectors of the modern macro economy. The rela tionship between the macroeconomic framework of our working model and the Walrasian, Non-Walrasian and New-Keynesian reformulations of macroeconomics.