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Assumptions about how people form expectations for the future shape the properties of any dynamic economic model. To make economic decisions in an uncertain environment people must forecast such variables as future rates of inflation, tax rates, governme.
Rational Expectations and Econometric Practice was first published in 1981. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions. Assumptions about how people form expectations for the future shape the properties of any dynamic economic model. To make economic decisions in an uncertain environment people must forecast such variables as future rates of inflation, tax rates, government subsidy schemes and regulations. The doctrine of rational expectations uses standard economic methods to explain how those expectations are formed. This work collects the papers that have made significant contributions to formulating the idea of rational expectations. Most of the papers deal with the connections between observed economic behavior and the evaluation of alternative economic policies. Robert E. Lucas, Jr., is professor of economics at the University of Chicago. Thomas J. Sargent is professor of economics at the University of Minnesota and adviser to the Federal Reserve Bank of Minnesota.
The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do if the model cannot be trusted? Lars Hansen and Thomas Sargent, two leading macroeconomists, push the field forward as they set about answering this question. They adapt robust control techniques and apply them to economics. By using this theory to let decision makers acknowledge misspecification in economic modeling, the authors develop applications to a variety of problems in dynamic macroeconomics. Technical, rigorous, and self-contained, this book will be useful for macroeconomists who seek to improve the robustness of decision-making processes.
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.
These 21 readings describe the orgins and growth of the macroeconomic analysis known as "rational expectations". The readings trace the development of this approach from the late 1970s to the 1990s.
At the core of the rational expectations revolution is the insight that economic policy does not operate independently of economic agents' knowledge of that policy and their expectations of the effects of that policy. This means that there are very complicated feedback relationships existing between policy and the behaviour of economic agents, and these relationships pose very difficult problems in econometrics when one tries to exploit the rational expectations insight in formal economic modelling. This volume consists of work by two rational expectations pioneers dealing with the "nuts and bolts" problems of modelling the complications introduced by rational expectations. Each paper deals with aspects of the problem of making inferences about parameters of a dynamic economic model on the basis of time series observations. Each exploits restrictions on an econometric model imposed by the hypothesis that agents within the model have rational expectations.
Rpresentative agent models have become a predominant means of studying the macroeconomy in modern economics without there being much discussion in the literature about their propriety or usefulness. This volume evaluates the use of these models in macroeconomics, examining the justifications for their use and concluding that representative agent models are neither a proper nor a particularly useful means of studying aggregate behaviour.
Second in a two-volume study of the Nobel Prize winner’s long career: “Nelson knows more about Milton Friedman’s economics than anyone else alive.” —Business Economics This study is the first to distill Nobel Prize winner Milton Friedman’s vast body of writings into an authoritative account of his research, his policy views, and his interventions in public debate. With this ambitious new work, Edward Nelson closes the gap: Milton Friedman and Economic Debate in the United States is the defining narrative on the famed economist, the first to grapple comprehensively with Friedman’s research output, economic framework, and legacy. This two-volume account provides a foundational introduction to Friedman’s role in several major economic debates that took place in the United States between 1932 and 1972. This second volume covers the years between 1960 and 1972—years that saw the publication of Friedman and Anna Schwartz’s Monetary History of the United States. The book also covers Friedman’s involvement in a number of debates in the 1960s and 1970s, on topics such as unemployment, inflation, consumer protection, and the environment. As a fellow monetary economist, Nelson writes from a unique vantage point, drawing on both his own expertise in monetary analysis and his deep familiarity with Friedman’s writings. Using extensive documentation, the book weaves together Friedman’s research contributions and his engagement in public debate, providing an unparalleled analysis of Friedman’s views on the economic developments of his day. “No previous biographer has Nelson’s deep and sophisticated understanding of monetary economics.” —Economic History
Originally published in 1984, Douglas A. Bohi and Michael A. Toman have produced a convenient reference source about disparate elements in the theory of nonrenewable resource supply and about general issues that arise when applying dynamic economic analysis. The authors emphasise the inherently dynamic nature of resource supply decisions, the effects of resource depletion on costs and behaviour, and the influence of uncertainty about costs, prices, and reserves. This title will be useful to students interested in environmental studies and economics, practitioners, and others who need to know more about complex interactions of economic forces and the resource base.
The COVID-19 pandemic and the subsequent need for policy support have called the traditional separation between fiscal and monetary policies into question. Based on simulations of an open economy DSGE model calibrated to emerging and advance economies and case study evidence, the analysis shows when constraints are binding a more integrated approach of looking at policies can lead to a better policy mix and ultimately better macroeconomic outcomes under certain circumstances. Nonetheless, such an approach entails risks, necessitating a clear assessment of each country’s circumstances as well as safeguards to protect the credibility of the existing institutional framework.