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This book also comes with a supporting website biechler. Routledge Advanced Texts in Economics and Finance. We also use third-party cookies that help us analyze and understand how you use this website.
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These cookies do not store any personal information. The aim is to bring together, in a balanced approach, theory and data for the purpose of developing a practical state-of-the-art tool for policy analysis. The modelling approach adopted is motivated by the recent trend in economy-wide modelling to combine the respective strengths of traditional CGE models and modern macroeconomic models.
Traditional CGE models typically provide a dissagregate representation of the economy at a single point in time. Such models are useful for analysing issues involving the allocation of resources among the various agents identified at a particular point in time. Modern macroeconomic models, on the other hand, usually provide an aggregate representation of the economy over many points in time. Such models are useful for analysing issues involving the allocation of resources across time.
A model that combines the strengths of static CGE models and modern macro-dynamic models is amenable to addressing a wide range of policy issues. 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. The concept of equilibrium is fundamental to economic theory, according to which, it exists when supply and demand are balanced.
Equilibrium Models in Economics critically examines the major problematic assumptions employed to build equilibrium models. It gives particular attention to the assumptions used to characterize learning, knowledge and expectations.
Lawrence Boland here explores whether equilibrium models can provide a realistic explanation of economic events and objects such as prices, market demands and market supplies. He traces how the different perspectives on equilibrium models represented by such creators as Kenneth Arrow, Robert Clower, and George Richardson influenced subsequent developments in economics.
A key debate is about the comparative importance of whether equilibrium refers to a state of an actual economy or a property of a formal mathematical model. Another is the extent that the distinction between a model's exogenous vs. Also explored are more recent efforts provided by behavioral, evolutionary, and complexity economics-whether they might change how economics is practiced in the future and how they could.
Equilibrium Models in Economics is a trenchant exploration of how the discipline has grappled with attempts to understand and explain the way information, knowledge, and the expectations of actors participating in the economy influence outcomes and behavior.
It presents a realistic, workable theory of knowledge and learning, simulating how decision makers and other actors operate in fast-changing equilibrium conditions. This volume of Advances in Econometrics contains articles that examine key topics in the modeling and estimation of dynamic stochastic general equilibrium DSGE models.
Because DSGE models combine micro- and macroeconomic theory with formal econometric modeling and inference, over the past decade they have become an established framework for analy. Macroeconomic Modelling has undergone radical changes in the last few years.
There has been considerable innovation in developing robust solution techniques for the new breed of increasingly complex models. Similarly there has been a growing consensus on their long run and dynamic properties, as well as much development on existing themes such as modelling expectations and policy rules.
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