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Is our world more dynamic than it used to be in the past? Have phenomena in the social science field become unpredictable? Are chaotic events nowadays occurring more frequently than in the past? Such questions are often raised in popular debates on nonlinear evolution and self-organizing systems. At the same time, many scientists are also raising various intruiging methodological issues. Is it possible to separate deterministic chaos from random disturbances if their trajectories are (almost) similar? Is prediction still possible in a world of chaos (Poincare)? Is it possible to distinguish specification errors from measurement errors in a nonlinear dynamic model? Is evolution a random proce...
Experts define, review, and evaluate economic fluctuations Economic and business uncertainty dominate today's economic analyses. This new Encyclopedia illuminates the subject by offering 323 original articles on every major aspect of business cycles, fluctuations, financial crises, recessions, and depressions. The work of more than 200 experts, including many of the leading researchers in the field, the articles cover a broad range of subjects, including capsule biographies of leading economists born before 1920. Individual entries explore banking panics, the cobweb cycle, consumer durables, the depression of 1937-1938, Otto Eckstein, Friedrich Engels, experimental price bubbles, forced savings, lass-Steagall Act, Friedrich hagen, qualitative indicators, use of macro-econometric models, monetary neutrality, Phillips Curve, Paul Samuelson, Say's law, supply-side recessions, James Tokin, trend and random wages, Thorstein Veblen, worker-job turnover, and more.
This graduate textbook is a primer in macroeconomics. It starts from essential undergraduate macroeconomics and develops the central topics of modern macroeconomic theory in a simple and rigorous manner. All topics essential for first year graduate students are covered. These include rational expectations, intertemporal dynamic models, exogenous and endogenous growth, nonclearing markets and imperfect competition, uncertainty, and money. The book also covers real business cycles and dynamic stochastic general equilibrium models, integrating growth and fluctuations, sticky wages and prices, consumption and investment, and unemployment. Lastly, it studies government policy, stabilization, credibility, and the connections between politics and the macroeconomy. Each topic is presented in the simplest model possible while still delivering the relevant answers and keeping rigorous foundations throughout the book. To make the book fully self-contained there is a mathematical appendix that gives all necessary mathematical results.
Drawing on the middle chapters from the first edition of J. Barkley Rosser's seminal work, From Catastrophe to Chaos, this book presents an unusual perspective on economics and economic analysis. Current economic theory largely depends upon assuming that the world is fundamentally continuous. However, an increasing amount of economic research has been done using approaches that allow for discontinuities such as catastrophe theory, chaos theory, synergetics, and fractal geometry. The spread of such approaches across a variety of disciplines of thought has constituted a virtual intellectual revolution in recent years. This book reviews the applications of these approaches in various subdisciplines of economics and draws upon past economic thinkers to develop an integrated view of economics as a whole from the perspective of inherent discontinuity.
Debunking Economics exposes what many non-economists may have suspected and a minority of economists have long known: that economic theory is not only unpalatable, but also plain wrong. When the original Debunking was published back in 2001, the market economy seemed invincible, and conventional 'neoclassical' economic theory basked in the limelight. Steve Keen argued that economists deserved none of the credit for the economy's performance, and that 'the false confidence it has engendered in the stability of the market economy has encouraged policy-makers to dismantle some of the institutions which initially evolved to try to keep its instability within limits'. That instability exploded wi...
From Catastrophe to Chaos: A General Theory of Economic Discontinuities presents and unusual perspective on economics and economic analysis. Current economic theory largely depends upon assuming that the world is fundamentally continuous. However, an increasing amount of economic research has been done using approaches that allow for discontinuities such as catastrophe theory, chaos theory, synergetics, and fractal geometry. The spread of such approaches across a variety of disciplines of thought has constituted a virtual intellectual revolution in recent years. This book reviews the applications of these approaches in various subdisciplines of economics and draws upon past economic thinkers to develop an integrated view of economics as a whole from the perspective of inherent discontinuity.
This textbook offers a unique approach to macroeconomic theory built on microeconomic foundations of monetary macroeconomics within a unified framework of an intertemporal general equilibrium model extended to a sequential and dynamic analysis. It investigates the implications of expectations and of stationary fiscal policies on allocations, on the quantity of money, and on the dynamic evolution of the economy with and without noise. The text contrasts and compares the two main competing approaches in macroeconomics within the same intertemporal model of a closed monetary economy: the one postulating full price flexibility to guarantee equilibrium in all markets at all times under perfect foresight or rational expectations, versus the so called disequilibrium approach where trading occurs at non- market-clearing prices and wages when these adjust sluggishly from period to period in response to market disequilibrium signals.
In macrodynamics and business cycle analysis we find nowadays a variety of approaches elaborating frameworks for studying the fluctuations in economic and financial data. These approaches are viewed from Keynesian, monetarist and rational expectations standpoints. There are now also numerous empirical methods for the testing of nonlinear data generating mechanisms. This volume brings together a selection of contributions on theories of the business cycle and new empirical methods and synopsizes the new results. The volume (i) gives an overview of current models and modern concepts and tools for analyzing the business cycle; (ii) demonstrates, where possible, the relation of those models to the history of business cycle analysis; and (iii) presents current work, surveys and original work, on new empirical methods of studying cycle generating mechanisms.