Download Free Methods Of Macroeconomic Dynamics Book in PDF and EPUB Free Download. You can read online Methods Of Macroeconomic Dynamics and write the review.

Just as macroeconomic models describe the overall economy within a changing, or dynamic, framework, the models themselves change over time. In this text Stephen J. Turnovsky reviews in depth several early models as well as a representation of more recent models. They include traditional (backward-looking) models, linear rational expectations (future-looking) models, intertemporal optimization models, endogenous growth models, and continuous time stochastic models. The author uses examples from both closed and open economies. Whereas others commonly introduce models in a closed context, tacking on a brief discussion of the model in an open economy, Turnovsky integrates the two perspectives throughout to reflect the increasingly international outlook of the field. This new edition has been extensively revised. It contains a new chapter on optimal monetary and fiscal policy, and the coverage of growth theory has been expanded substantially. The range of growth models considered has been extended, with particular attention devoted to transitional dynamics and nonscale growth. The book includes cutting-edge research and unpublished data, including much of the author's own work.
International Macroeconomic Dynamics provides extensive applications of important macroeconomic dynamic models to the international economy. For a long time, the study of macroeconomics has focused almost exclusively on a closed economy and downplayed the role of international transactions. Today, however, researchers recognize that one cannot fully understand domestic macroeconomic relationships without considering the global economy within which each country operates. Increasingly, economists are treating international transactions as an integral part of the macroeconomic system, and international macroeconomics has become an area of intensive research activity. International Macroeconomic Dynamics provides extensive applications of important macroeconomic dynamic models to the international economy. It adopts the main contemporary macroeconomic framework, the representative agent model, and develops a series of models of increasing complexity. The author considers both small and large economies and analyzes them in both deterministic and stochastic contexts. The emphasis is very much on the development of the analytical models; a novel feature is the extensive use of continuous-time stochastic methods. While the author applies the models to a range of important policy issues, particularly issues of fiscal policy, the reader is invited to view the analyses as blueprints for other applications.
The tasks of macroeconomics are to interpret observations on economic aggregates in terms of the motivations and constraints of economic agents and to predict the consequences of alternative hypothetical ways of administering government economic policy. General equilibrium models form a convenient context for analyzing such alternative government policies. In the past ten years, the strengths of general equilibrium models and the corresponding deficiencies of Keynesian and monetarist models of the 1960s have induced macroeconomists to begin applying general equilibrium models. This book describes some general equilibrium models that are dynamic, that have been built to help interpret time-series of observations of economic aggregates and to predict the consequences of alternative government interventions. The first part of the book describes dynamic programming, search theory, and real dynamic capital pricing models. Among the applications are stochastic optimal growth models, matching models, arbitrage pricing theories, and theories of interest rates, stock prices, and options. The remaining parts of the book are devoted to issues in monetary theory; currency-in-utility-function models, cash-in-advance models, Townsend turnpike models, and overlapping generations models are all used to study a set of common issues. By putting these models to work on concrete problems in exercises offered throughout the text, Sargent provides insights into the strengths and weaknesses of these models of money. An appendix on functional analysis shows the unity that underlies the mathematics used in disparate areas of rational expectations economics. This book on dynamic equilibrium macroeconomics is suitable for graduate-level courses; a companion book, Exercises in Dynamic Macroeconomic Theory, provides answers to the exercises and is also available from Harvard University Press.
This rigorous but brilliantly lucid book presents a self-contained treatment of modern economic dynamics. Stokey, Lucas, and Prescott develop the basic methods of recursive analysis and illustrate the many areas where they can usefully be applied.
An attempt to revitalize the traditions of nonmarket clearing approaches to macroeconomics. Using tools from dynamic analysis, the text introduces a consistent, integrated framework for disequilibrium macroeconomic dynamics and explore its relationship to the competing equilibrium dynamics.
Dynamic Approaches to Macroeconomics provides the advanced student with key methodological tools for the dynamic analysis of a core selection of macroeconomic phenomena, including consumption and investment choices, employment and unemployment outcomes, and economic growth. The technical treatment of these tools will enable the student to handle current journal literature, while not assuming any particular familiarity with advanced analytical tools or mathematical notions. As these tools are introduced, they are related to particular applications to illustrate their use. Chapters are linked by various formal and substantive threads. Discrete-time optimization under uncertainty, introduced in Chapter 1, is motivated and discussed by applications to consumption theory, with particular attention to empirical implementation. Chapter 2 focuses on continuous-time optimization techniques, and discusses the relevant insights in the context of partial-equilibrium investment models. Chapter 3 revisits many of the previous chapters' formal derivations with applications to dynamic labour demand, in comparison to optimal investment models, and characterizes labor market equilibrium when not only individual firms' labor demand, but also individual labor supply by workers, is subject to adjustment costs. Chapter 4 proposes broader applications of methods introduced in the previous chapters and studies continuous-time equilibrium dynamics of representative agent economies, featuring both consumption and investment choices, with applications to long-run growth frameworks of analysis. Chapter 5 illustrates the role of decentralized trading in determining aggregate equilibria, and characterizes aggregate labor market dynamics in the presence of frictional unemployment. Chapters 4 and 5 pay particular attention to strategic interactions and externalities: even when each agent correctly solves his or her individual dynamic problem, modern microfounded macroeconomic models recognize that macroeconomic equilibrium need not have unambiguously desirable properties. By bridging the gap between undergraduate economics and modern microfounded macroeconomic research, this book will be of interest to graduate students in economics, and as a technical reference for economic researchers.
This workbook with exercises and solutions accompanies Turnovsky's textbook, "Methods of Macroeconomic Dynamics." There are fourteen chapters of exercises which are intended to help students master the basic methods of macroeconomic dynamic analysis.
A significant new edition of a text that offers both tools and sample applications; extensive revisions and seven new chapters improve and expand upon the original treatment.
Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques facilitates access to fundamental techniques in computational and quantitative macroeconomics. It focuses on the recent and very promising software, Julia, which offers a MATLAB-like language at speeds comparable to C/Fortran, also discussing modeling challenges that make quantitative macroeconomics dynamic, a key feature that few books on the topic include for macroeconomists who need the basic tools to build, solve and simulate macroeconomic models. This book neatly fills the gap between intermediate macroeconomic books and modern DSGE models used in research. - Combines an introduction to Julia, with the specific needs of macroeconomic students who are interested in DSGE models and PhD students and researchers interested in building DSGE models - Teaches fundamental techniques in quantitative macroeconomics by introducing theoretical elements of key macroeconomic models and their potential algorithmic implementations - Exposes researchers working in macroeconomics to state-of-the-art computational techniques for simulating and solving DSGE models
A unified, comprehensive, and up-to-date introduction to the analytical and numerical tools for solving dynamic economic problems. This book offers a unified, comprehensive, and up-to-date treatment of analytical and numerical tools for solving dynamic economic problems. The focus is on introducing recursive methods—an important part of every economist's set of tools—and readers will learn to apply recursive methods to a variety of dynamic economic problems. The book is notable for its combination of theoretical foundations and numerical methods. Each topic is first described in theoretical terms, with explicit definitions and rigorous proofs; numerical methods and computer codes to implement these methods follow. Drawing on the latest research, the book covers such cutting-edge topics as asset price bubbles, recursive utility, robust control, policy analysis in dynamic New Keynesian models with the zero lower bound on interest rates, and Bayesian estimation of dynamic stochastic general equilibrium (DSGE) models. The book first introduces the theory of dynamical systems and numerical methods for solving dynamical systems, and then discusses the theory and applications of dynamic optimization. The book goes on to treat equilibrium analysis, covering a variety of core macroeconomic models, and such additional topics as recursive utility (increasingly used in finance and macroeconomics), dynamic games, and recursive contracts. The book introduces Dynare, a widely used software platform for handling a range of economic models; readers will learn to use Dynare for numerically solving DSGE models and performing Bayesian estimation of DSGE models. Mathematical appendixes present all the necessary mathematical concepts and results. Matlab codes used to solve examples are indexed and downloadable from the book's website. A solutions manual for students is available for sale from the MIT Press; a downloadable instructor's manual is available to qualified instructors.