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recursive methods in economic dynamics: Recursive Methods in Economic Dynamics Nancy L. Stokey, 1989-10-10 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. |
recursive methods in economic dynamics: Solutions Manual for Recursive Methods in Economic Dynamics Claudio IRIGOYEN, Esteban Rossi-Hansberg, Mark L. J Wright, Claudio Irigoyen, 2009-06-30 This solutions manual is a companion volume to the classic textbook Recursive Methods in Economic Dynamics by Nancy L. Stokey and Robert E. Lucas. Efficient and lucid in approach, this manual will greatly enhance the value of Recursive Methods as a text for self-study. |
recursive methods in economic dynamics: Recursive Macroeconomic Theory Lars Ljungqvist, Thomas J. Sargent, 2004 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. |
recursive methods in economic dynamics: Economic Dynamics in Discrete Time Jianjun Miao, 2014-09-19 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. |
recursive methods in economic dynamics: Dynamic Macroeconomic Theory Thomas J. Sargent, 2009-06-01 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. |
recursive methods in economic dynamics: Dynamic Economics Jerome Adda, Russell W. Cooper, 2023-05-09 An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers. This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric methods. Doing so, it bridges the traditional gap between theoretical and empirical research and offers an integrated framework for studying applied problems in macroeconomics and microeconomics. In part I the authors first review the formal theory of dynamic optimization; they then present the numerical tools and econometric techniques necessary to evaluate the theoretical models. In language accessible to a reader with a limited background in econometrics, they explain most of the methods used in applied dynamic research today, from the estimation of probability in a coin flip to a complicated nonlinear stochastic structural model. These econometric techniques provide the final link between the dynamic programming problem and data. Part II is devoted to the application of dynamic programming to specific areas of applied economics, including the study of business cycles, consumption, and investment behavior. In each instance the authors present the specific optimization problem as a dynamic programming problem, characterize the optimal policy functions, estimate the parameters, and use models for policy evaluation. The original contribution of Dynamic Economics: Quantitative Methods and Applications lies in the integrated approach to the empirical application of dynamic optimization programming models. This integration shows that empirical applications actually complement the underlying theory of optimization, while dynamic programming problems provide needed structure for estimation and policy evaluation. |
recursive methods in economic dynamics: Economic Dynamics, second edition John Stachurski, 2022-08-16 The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems. This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field. New for the second edition: “Programming-language agnostic” presentation using pseudocode. New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability. New focus in chapter 2 on algorithms and techniques for program design and high-performance computing. New focus on household problems rather than optimal growth in material on dynamic programming. Solutions to many exercises, code, and other resources available on a supplementary website. |
recursive methods in economic dynamics: Dynamic Economics Gregory C. Chow, 1997 This work presents the optimization framework for dynamic economics and treats a number of topics in economics, including growth, macroeconomics, microeconomics, finance and dynamic games. The book also teaches by examples, using concepts to solve simple problems, moving on to general propositions. |
recursive methods in economic dynamics: Big Ideas in Macroeconomics Kartik B. Athreya, 2013-12-27 An accessible description of modern macroeconomics, and a defense of its policy relevance. Macroeconomists have been caricatured either as credulous savants in love with the beauty of their mathematical models or as free-market fundamentalists who admit no doubt as to the market's wisdom. In this book, Kartik Athreya draws a truer picture, offering a nontechnical description of prominent ideas and models in macroeconomics, and arguing for their value as interpretive tools as well as their policy relevance. Athreya deliberately leaves out the technical machinery, providing an essential guide to the sometimes abstract ideas that drive macroeconomists' research and practical policy advice. Athreya describes the main approach to macroeconomic model construction, the foundational Walrasian general-equilibrium framework, and its modern version, the Arrow-Debreu-McKenzie (ADM) model. In the heart of the book, Athreya shows how the Walrasian approach shapes and unifies much of modern macroeconomics. He details models central to ongoing macroeconomic analyses: the neoclassical and stochastic growth models, the standard incomplete-markets model, the overlapping-generations model, and the standard search model. Athreya's accessible primer traces the links between the views and policy advice of modern macroeconomists and their shared theoretical approach. |
recursive methods in economic dynamics: Recursive Methods in Economic Dynamics Nancy L. Stokey, Robert E. Lucas Jr., 1989-10-10 Three eminent economists provide in this book a rigorous, self-contained treatment of modern economic dynamics. Nancy L. Stokey, Robert E. Lucas, Jr., and Edward C. Prescott develop the basic methods of recursive analysis and emphasize the many areas where they can usefully be applied. After presenting an overview of the recursive approach, the authors develop economic applications for deterministic dynamic programming and the stability theory of first-order difference equations. They then treat stochastic dynamic programming and the convergence theory of discrete-time Markov processes, illustrating each with additional economic applications. They also derive a strong law of large numbers for Markov processes. Finally, they present the two fundamental theorems of welfare economics and show how to apply the methods developed earlier to general equilibrium systems. The authors go on to apply their methods to many areas of economics. Models of firm and industry investment, household consumption behavior, long-run growth, capital accumulation, job search, job matching, inventory behavior, asset pricing, and money demand are among those they use to show how predictions can be made about individual and social behavior. Researchers and graduate students in many areas of economics, both theoretical and applied, will find this book essential. |
recursive methods in economic dynamics: Dynamic General Equilibrium Modeling Burkhard Heer, Alfred Maussner, 2009-08-12 Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models. In order to solve these models, economists need to use many mathematical tools. This book presents various methods in order to compute the dynamics of general equilibrium models. In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods. In order to apply these methods, fundamentals from numerical analysis are reviewed in detail. In particular, the book discusses issues that are often neglected in existing work on computational methods, e.g. how to find a good initial value. In part II, the authors discuss methods in order to solve heterogeneous-agent economies. In such economies, the distribution of the individual state variables is endogenous. This part of the book also serves as an introduction to the modern theory of distribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model. In an accompanying home page to this book, computer codes to all applications can be downloaded. |
recursive methods in economic dynamics: Exercises in Dynamic Macroeconomic Theory Rodolfo E. Manuelli, Thomas J Sargent, 2009-06-01 This book is a companion volume to Dynamic Macroeconomic Theory by Thomas J. Sargent. It provides scrimmages in dynamic macroeconomic theory--precisely the kind of drills that people will need in order to learn the techniques of dynamic programming and its applications to economics. By doing these exercises, the reader can acquire the ability to put the theory to work in a variety of new situations, build technical skill, gain experience in fruitful ways of setting up problems, and learn to distinguish cases in which problems are well posed from cases in which they are not.The basic framework provided by variants of a dynamic general equilibrium model is used to analyze problems in macroeconomics and monetary economics. An equilibrium model provides a mapping from parameters of preferences, technologies, endowments, and rules of the game to a probability model for time series. The rigor of the logical connections between theory and observations that the mapping provides is an attractive feature of dynamic equilibrium, or rational expectations, models. This book gives repeated and varied practice in constructing and interpreting this mapping. |
recursive methods in economic dynamics: Economic Dynamics Ronald Shone, 2002-11-28 This is the substantially revised and restructured second edition of Ron Shone's successful advanced textbook Economic Dynamics. The book provides detailed coverage of dynamics and phase diagrams, including: quantitative and qualitative dynamic systems, continuous and discrete dynamics, linear and non-linear systems and single equation and systems of equations. It illustrates dynamic systems using Mathematica, Maple V and spreadsheets. It provides a thorough introduction to phase diagrams and their economic application and explains the nature of saddle path solutions. The second edition contains a new chapter on oligopoly and an extended treatment of stability of discrete dynamic systems and the solving of first-order difference equations. Detailed routines on the use of Mathematica and Maple are now contained in the body of the text, which now includes advice on the use of Excel and additional examples and exercises throughout. Supporting website contains solutions manual and learning tools. |
recursive methods in economic dynamics: The Economics of Inaction Nancy L. Stokey, 2009 In The Economics of Inaction, leading economist Nancy Stokey shows how the tools of stochastic control can be applied to dynamic problems of decision making under uncertainty when fixed costs are present. Stokey provides a self-contained, rigorous, and clear treatment of two types of models, impulse and instantaneous control. She presents the relevant results about Brownian motion and other diffusion processes, develops methods for analyzing each type of problem, and discusses applications to price setting, investment, and durable goods purchases.--Pub. desc. |
recursive methods in economic dynamics: Dynamic Macroeconomics George Alogoskoufis, 2019-12-17 An advanced treatment of modern macroeconomics, presented through a sequence of dynamic equilibrium models, with discussion of the implications for monetary and fiscal policy. This textbook offers an advanced treatment of modern macroeconomics, presented through a sequence of dynamic general equilibrium models based on intertemporal optimization on the part of economic agents. The book treats macroeconomics as applied and policy-oriented general equilibrium analysis, examining a number of models, each of which is suitable for investigating specific issues but may be unsuitable for others. After presenting a brief survey of the evolution of macroeconomics and the key facts about long-run economic growth and aggregate fluctuations, the book introduces the main elements of the intertemporal approach through a series of two-period competitive general equilibrium models—the simplest possible intertemporal models. This sets the stage for the remainder of the book, which presents models of economic growth, aggregate fluctuations, and monetary and fiscal policy. The text focuses on a full analysis of a limited number of key intertemporal models, which are stripped down to essentials so that students can focus on the dynamic properties of the models. Exercises encourage students to try their hands at solving versions of the dynamic models that define modern macroeconomics. Appendixes review the main mathematical techniques needed to analyze optimizing dynamic macroeconomic models. The book is suitable for advanced undergraduate and graduate students who have some knowledge of economic theory and mathematics for economists. |
recursive methods in economic dynamics: Dynamic Economic Analysis Milton Harris, 1987 In industrial organization and labour economics, many of the most interesting recent contributions have encompassed explicit dynamics as well as extensive form games. This book collects and explains a number of the most widely used techniques in dynamic economic analysis. |
recursive methods in economic dynamics: Macroeconomic Theory , 1987 Macroeconomic Theory, in its first edition, was widely adopted for use as a graduate text; this updated and expanded version should find even greater popularity as a text and as a research reference. It has been substantially revised to include three entirely new chapters: The Consumption Function, Government Debt and Taxes, and Dynamic Optimal Taxation. Significant additions have been made to three of the original chapters dealing with difference equations, stochastic difference equations, and investment under uncertainty. Key Features * This book has been substantially revised to include three entirely new chapters on consumption, government debt and taxes, and dynamic optimal taxation * Significant additions have been made to three of the original chapters dealing with difference equations, stochastic difference equations, and investment under uncertainty |
recursive methods in economic dynamics: An Introduction to Economic Dynamics Ronald Shone, 2001-09-13 This is an examples-driven treatment of introductory economic dynamics for students with a basic familiarity of spreadsheets. Shone approaches the subject with the belief that true understanding of a subject can only be achieved by students themselves setting out a problem and manipulating it experimentally. Although all economics students now have access to spreadsheets, they are often used for little more than graphing economic data. This book encourages students to go several stages further and set up and investigate simple dynamic models. A web-site for students and instructors is included that contains an additional 100 questions for students and 100 for instructors. |
recursive methods in economic dynamics: Numerical Methods in Economics Kenneth L. Judd, 2023-04-04 To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses. The book is divided into five parts. Part I provides a general introduction. Part II presents basics from numerical analysis on R^n, including linear equations, iterative methods, optimization, nonlinear equations, approximation methods, numerical integration and differentiation, and Monte Carlo methods. Part III covers methods for dynamic problems, including finite difference methods, projection methods, and numerical dynamic programming. Part IV covers perturbation and asymptotic solution methods. Finally, Part V covers applications to dynamic equilibrium analysis, including solution methods for perfect foresight models and rational expectation models. A website contains supplementary material including programs and answers to exercises. |
recursive methods in economic dynamics: Dynamic Econometrics David F. Hendry, 1995 The main problem in econometric modelling of time series is discovering sustainable and interpretable relationships between observed economic variables. The primary aim of this book is to develop an operational econometric approach which allows constructive modelling. Professor Hendry deals with methodological issues (model discovery, data mining, and progressive research strategies); with major tools for modelling (recursive methods, encompassing, super exogeneity, invariance tests); and with practical problems (collinearity, heteroscedasticity, and measurement errors). He also includes an extensive study of US money demand. The book is self-contained, with the technical background covered in appendices. It is thus suitable for first year graduate students, and includes solved examples and exercises to facilitate its use in teaching. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature. |
recursive methods in economic dynamics: Dynamic Econometrics For Empirical Macroeconomic Modelling Ragnar Nymoen, 2019-07-09 For Masters and PhD students in EconomicsIn this textbook, the duality between the equilibrium concept used in dynamic economic theory and the stationarity of economic variables is explained and used in the presentation of single equations models and system of equations such as VARs, recursive models and simultaneous equations models.The book also contains chapters on: exogeneity, in the context of estimation, policy analysis and forecasting; automatic (computer based) variable selection, and how it can aid in the specification of an empirical macroeconomic model; and finally, on a common framework for model-based economic forecasting.Supplementary materials and notes are available on the publisher's website. |
recursive methods in economic dynamics: Business Cycle Dynamics Iryna Sushko, 2006-08-13 Business cycle theory has been one of the fastest growing fields in modern nonlinear economic dynamics. This book presents new mathematical methods for global analysis which have not previously been available in this easily accessible form. In addition it contains a presentation of full analyses of several models left open in the 1950s when the tools then available did not permit more systematic analysis. |
recursive methods in economic dynamics: Real Analysis with Economic Applications Efe A. Ok, 2011-09-05 There are many mathematics textbooks on real analysis, but they focus on topics not readily helpful for studying economic theory or they are inaccessible to most graduate students of economics. Real Analysis with Economic Applications aims to fill this gap by providing an ideal textbook and reference on real analysis tailored specifically to the concerns of such students. The emphasis throughout is on topics directly relevant to economic theory. In addition to addressing the usual topics of real analysis, this book discusses the elements of order theory, convex analysis, optimization, correspondences, linear and nonlinear functional analysis, fixed-point theory, dynamic programming, and calculus of variations. Efe Ok complements the mathematical development with applications that provide concise introductions to various topics from economic theory, including individual decision theory and games, welfare economics, information theory, general equilibrium and finance, and intertemporal economics. Moreover, apart from direct applications to economic theory, his book includes numerous fixed point theorems and applications to functional equations and optimization theory. The book is rigorous, but accessible to those who are relatively new to the ways of real analysis. The formal exposition is accompanied by discussions that describe the basic ideas in relatively heuristic terms, and by more than 1,000 exercises of varying difficulty. This book will be an indispensable resource in courses on mathematics for economists and as a reference for graduate students working on economic theory. |
recursive methods in economic dynamics: Open Economy Macroeconomics Martín Uribe, Stephanie Schmitt-Grohé, 2017-04-04 A cutting-edge graduate-level textbook on the macroeconomics of international trade Combining theoretical models and data in ways unimaginable just a few years ago, open economy macroeconomics has experienced enormous growth over the past several decades. This rigorous and self-contained textbook brings graduate students, scholars, and policymakers to the research frontier and provides the tools and context necessary for new research and policy proposals. Martín Uribe and Stephanie Schmitt-Grohé factor in the discipline's latest developments, including major theoretical advances in incorporating financial and nominal frictions into microfounded dynamic models of the open economy, the availability of macro- and microdata for emerging and developed countries, and a revolution in the tools available to simulate and estimate dynamic stochastic models. The authors begin with a canonical general equilibrium model of an open economy and then build levels of complexity through the coverage of important topics such as international business-cycle analysis, financial frictions as drivers and transmitters of business cycles and global crises, sovereign default, pecuniary externalities, involuntary unemployment, optimal macroprudential policy, and the role of nominal rigidities in shaping optimal exchange-rate policy. Based on courses taught at several universities, Open Economy Macroeconomics is an essential resource for students, researchers, and practitioners. Detailed exploration of international business-cycle analysis Coverage of financial frictions as drivers and transmitters of business cycles and global crises Extensive investigation of nominal rigidities and their role in shaping optimal exchange-rate policy Other topics include fixed exchange-rate regimes, involuntary unemployment, optimal macroprudential policy, and sovereign default and debt sustainability Chapters include exercises and replication codes |
recursive methods in economic dynamics: Econometrics Fumio Hayashi, 2011-12-12 The most authoritative and comprehensive synthesis of modern econometrics available Econometrics provides first-year graduate students with a thoroughly modern introduction to the subject, covering all the standard material necessary for understanding the principal techniques of econometrics, from ordinary least squares through cointegration. The book is distinctive in developing both time-series and cross-section analysis fully, giving readers a unified framework for understanding and integrating results. Econometrics covers all the important topics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety of models, such as probit and tobit, are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient way. Virtually all the chapters include empirical applications drawn from labor economics, industrial organization, domestic and international finance, and macroeconomics. These empirical exercises provide students with hands-on experience applying the techniques covered. The exposition is rigorous yet accessible, requiring a working knowledge of very basic linear algebra and probability theory. All the results are stated as propositions so that students can see the points of the discussion and also the conditions under which those results hold. Most propositions are proved in the text. For students who intend to write a thesis on applied topics, the empirical applications in Econometrics are an excellent way to learn how to conduct empirical research. For theoretically inclined students, the no-compromise treatment of basic techniques is an ideal preparation for more advanced theory courses. |
recursive methods in economic dynamics: A First Course in Optimization Theory Rangarajan K. Sundaram, 1996-06-13 This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained. |
recursive methods in economic dynamics: Advanced Econometrics Takeshi Amemiya, 1985 The main features of this text are a thorough treatment of cross-section models—including qualitative response models, censored and truncated regression models, and Markov and duration models—and a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models. |
recursive methods in economic dynamics: Handbook of Combinatorial Optimization Ding-Zhu Du, Panos M. Pardalos, 2006-08-18 This is a supplementary volume to the major three-volume Handbook of Combinatorial Optimization set. It can also be regarded as a stand-alone volume presenting chapters dealing with various aspects of the subject in a self-contained way. |
recursive methods in economic dynamics: Research Methods for Architecture Ray Lucas, Raymond Lucas, 2016-01-18 While fundamentally a design discipline, architectural education requires an element of history and theory, grouped under the term ‘research’. However, many students struggle with this part of their course. This practical handbook provides the necessary grounding in this subject, addressing essential questions about what research in architecture can be. The first part of the book is a general guide to the fundamentals of how to do research, from assembling a literature review to conducting an interview. The second section presents a selection of case studies dealing with such topics as environmental psychology, the politics of space, ethnographic research and mapping. |
recursive methods in economic dynamics: Handbook on Optimal Growth 1 Rose-Anne Dana, 2006-04-05 This book provides surveys of significant results of the theory of optimal growth, as well as the techniques of dynamic optimization theory on which they are based. With the results and methods of this theory researchers can apply these versatile methods of analysis in the area of dynamic economics. |
recursive methods in economic dynamics: Frontiers of Business Cycle Research Thomas F. Cooley, 1995-02-26 This introduction to modern business cycle theory uses a neoclassical growth framework to study the economic fluctuations associated with the business cycle. Presenting advances in dynamic economic theory and computational methods, it applies concepts to t |
recursive methods in economic dynamics: Macroeconomics Alex M. Thomas, 2021-09-30 Provides a lucid and novel introduction to macroeconomic issues and introduces an alternative approach of understanding macroeconomics, which is inspired by the works of Adam Smith, David Ricardo, Karl Marx, John Maynard Keynes, and Piero Sraffa. It also presents the reader with a critical account of mainstream marginalist macroeconomics. |
recursive methods in economic dynamics: Robustness Lars Peter Hansen, Thomas J. Sargent, 2016-06-28 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. |
recursive methods in economic dynamics: Linear Rational Expectations Models Charles H. Whiteman, 1984 |
recursive methods in economic dynamics: Economics for Mathematicians John William Scott Cassels, 1981-12-10 This is the expanded notes of a course intended to introduce students specializing in mathematics to some of the central ideas of traditional economics. The book should be readily accessible to anyone with some training in university mathematics; more advanced mathematical tools are explained in the appendices. Thus this text could be used for undergraduate mathematics courses or as supplementary reading for students of mathematical economics. |
recursive methods in economic dynamics: Microfoundations of Financial Economics Yvan Lengwiler, 2006-05-07 This textbook takes the reader from the level of microeconomics principles through to modern asset pricing theory. Yvan Lengwiler elegantly links together issues that have in the past been the territory of general economic theorists on the one hand, and financial economists on the other. In a sequence of carefully explained steps, the reader learns how the first welfare theorem is used in asset pricing theory. The book then moves on to explore Radner economies and von Neumann-Morgenstern decision theory, and this section culminates in Wilson's mutuality principle and the consumption-based CAPM. This is then put into a dynamic setting, and term structure models are introduced. The empirical shortcomings of the standard asset pricing models are extensively discussed, as is research from the last twenty years aimed at bringing theory in line with reality. The reader is brought up to date on the latest areas of concern, such as habit formation, the consequences of heterogeneity, demographic effects, changing tax regimes, market frictions, and the implications of prospect theory for asset pricing. Aimed at masters or Ph.D. students specializing in financial economics, the book can also be used as a supplementary text for students of macroeconomics at this advanced level and will be of interest to finance professionals with a background in economics and mathematics. It includes problems (with solutions), and an accompanying website provides supporting material for lecturers. |
recursive methods in economic dynamics: Peddling Prosperity Paul R. Krugman, 1995-04-04 The past twenty years have been an era of economic disappointment in the U.S. They have also been a time of intense economic debate, as rival ideologies contend for policy influence. But strange things have happened to economic ideas on their way to power--they've been hijacked by policy entrepreneurs who offer easy answers to hard problems. |
recursive methods in economic dynamics: Filthy Lucre Joseph Heath, 2010-06-01 Economists have a bad reputation. Not only do they assume that everyone is self-interested and amoral, they are almost always cheerleaders for the free market. As a result, most people who do not already share their beliefs ignore everything that economists have to say. This is a problem. Even among the highly educated, economics is a minefield of fallacies and errors. Among those who know little about the subject—a group that includes the average taxpayer and consumer, as well as most journalists, political activists and politicians—almost every widely held belief is false. The level of economic illiteracy is stunning. Filthy Lucre aims to level the playing field and, in this time of enormous market volatility and unprecedented instability, raise our level of economic literacy. Drawing on everyday examples to skewer the six favourite economic fallacies of the right and then the left, we learn why the right wing so wrongly believes that capitalism is the natural order of things, that any tax cut is a good tax cut, and that personal responsibility can solve any problem. And, contrary to how the left feels, why we must resist the urge to fiddle with prices, why the pursuit of profit is not such a bad thing, and why, despite efforts to improve or even fix wages, some jobs will always suck. |
recursive methods in economic dynamics: Advanced Macroeconomics David Romer, 2001 This text helps lay the groundwork for students to begin doing research in macroeconomics and monetary economics. A series of formal models are used to present and analyse important macroeconomic theories. The theories are supplemented by examples of relevant empirical work, which illustrate the ways that theories can be applied and tested. |
recursive methods in economic dynamics: Mathematical Methods and Models for Economists Angel de la Fuente, 2000-01-28 A textbook for a first-year PhD course in mathematics for economists and a reference for graduate students in economics. |
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The Economics of Creative Destruction - Harvard University
Creative Destruction, Finance, and Firm Dynamics Murat Alp Celik 611 VIII. TAXATION 23. Taxation, Innovation, and Economic Growth Charles I. Jones 641 24. The Effects of Taxes on Innovation: Theory and Empirical Evidence Stefanie Stantcheva 653 IX. SCIENCE . 2 5. O f Academics and Creative Destruction: Startup Advantage in the Process of Innovation
The Anti-Oligarchy Constitution - Harvard University Press
mediate crisis—then the Depression, now the economic devastation wrought by a pandemic—that has laid bare and exacerbated a slower-burning crisis of growing economic and political inequality. Most Amer - icans understand, if sometimes in an inchoate way, that this crisis of inequality threatens our democracy. When too much economic and po -
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number. Rather, the ebb and fow of social and economic life is expressed by and managed through measurement. An ordinal society creates order through automated ranking and matching. The apparent power of its methods justifes the ostensible rightness of its hierarchies and categories. Interaction and exchange are built around a fow of per-
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the de-communization of political and economic life as his strategic aim. Severalfundamental difficulties endured. The economy’s decline sharply accelerated. The manufacturing sector collapsed. Social and administrative dislocation became acute. Criminality became an epidemic. In October. 1993,whenYeltsin facedstalemate inhis
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visual, cultural, and economic modes. The new shared aesthetics bore the clear imprint of the Near East. This phase, period, or trend of the eighth to seventh centuries BC is commonly called “orientalizing” in modern scholar - ship. The encounters that produced this shared culture are the subject of this book.
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4 earlier). Today, the concept of cultural appropriation is used in a range Stealing My Religion In this book, three case studies demonstrate what kind of moral
Growth - Harvard University Press
century, their economic fate was very similar: both are likely to have lived in poverty, engaged in a relentless struggle for subsistence.1 . The second is that it was only very recently that this stagnation came to an end. Modern economic growth began just two hundred years ago, when living standards in certain parts of the world started a ...
No Birds of Passage - Harvard University Press
here is to transliterate the titles of texts according to their source language. Thus, Because the term . Notes on the Text . This book examines sources in Arabic, Gujarati, Ottoman Turkish, Persian, and