*Step-by-step course to Dynamic Stochastic General Equilibrium modelling.Modern macroeconomic analysis is increasingly concerned with the construction, calibration and/or estimation and simulation do Dynamic General Equilibrium (DGE) models ...*

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# Introduction to Dynamic Macroeconomic General Equilibrium Models

This book offers an introductory step-by-step course to Dynamic Stochastic General Equilibrium modelling. Modern macroeconomic analysis is increasingly concerned with the construction, calibration and/or estimation and simulation of Dynamic General Equilibrium (DGE) models. The book is intended for graduate students as an introductory course to DGE modelling and for those economists who would like a hands-on approach to learning the basics of modern dynamic macroeconomic modelling. The book starts with the simplest canonical neoclassical DGE model and then gradually extends the basic framework incorporating a variety of additional features, such as consumption habit formation, investment adjustment cost, investment-specific technological change, taxes, public capital, household production, non-ricardian agents, monopolistic competition, etc. The book includes Dynare codes for the models developed that can be downloaded from the book's homepage.
# Introduction to Dynamic Macroeconomic General Equilibrium Models

This book offers an introductory step-by-step course in Dynamic Stochastic General Equilibrium modelling. Modern macroeconomic analysis is increasingly concerned with the construction, calibration and/or estimation and simulation of Dynamic General Equilibrium (DGE) models. The book is intended for graduate students as an introductory course to DGE modelling and for those economists who would like a hands-on approach to learning the basics of modern dynamic macroeconomic modelling. The book starts with the simplest canonical neoclassical DGE model and then gradually extends the basic framework incorporating a variety of additional features, such as consumption habit formation, investment adjustment cost, investment-specific technological change, taxes, public capital, household production, non-ricardian agents, monopolistic competition, etc. The book includes Dynare codes for the models developed that can be downloaded from the book's homepage.
# Introduction to Dynamic Macroeconomic General Equilibrium Models Second Edition

This book offers an introductory step-by-step course in Dynamic Stochastic General Equilibrium (DSGE) modelling. Modern macroeconomic analysis is increasingly concerned with the construction, calibration and/or estimation and simulation of DSGE models. The book is intended for graduate students as an introductory course to DSGE modelling and for those economists who would like a hands-on approach to learning the basics of modern dynamic macroeconomic modelling. The book starts with the simplest canonical neoclassical DSGE model and then gradually extends the basic framework incorporating a variety of additional features, such as consumption habit formation, investment adjustment cost, investment-specific technological change, taxes, public capital, household production, non-ricardian agents, monopolistic competition, etc. The book includes Dynare codes for the models developed that can be downloaded from the book’s homepage. The second edition is identical to the first with the exception of a revised appendix to Chapter 2. The revised appendix can be downloaded free of charge in the accompanying downloads section.
# Dynamic General Equilibrium Modeling

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.
# Introduction to Dynamic Macroeconomic General Equilibrium Models

This book offers an introductory step-by-step course in Dynamic Stochastic General Equilibrium modelling. Modern macroeconomic analysis is increasingly concerned with the construction, calibration and/or estimation and simulation of Dynamic General Equilibrium (DGE) models. The book is intended for graduate students as an introductory course to DGE modelling and for those economists who would like a hands-on approach to learning the basics of modern dynamic macroeconomic modelling. The book starts with the simplest canonical neoclassical DGE model and then gradually extends the basic framework incorporating a variety of additional features, such as consumption habit formation, investment adjustment cost, investment-specific technological change, taxes, public capital, household production, non-ricardian agents, monopolistic competition, etc. The book includes Dynare codes for the models developed that can be downloaded from the book's homepage.
# Book Review of Introduction to Dynamic Macroeconomic General Equilibrium Models 2nd Ed Wilmington DE Vernon Press 2015 282pp ISBN 978 1 62273 030 8 Hardcover Written by Josh L Torres

# The ABCs of RBCs

The ABCs of RBCs is the first book to provide a basic introduction to Real Business Cycle (RBC) and New-Keynesian models. These models argue that random shocks—new inventions, droughts, and wars, in the case of pure RBC models, and monetary and fiscal policy and international investor risk aversion, in more open interpretations—can trigger booms and recessions and can account for much of observed output volatility. George McCandless works through a sequence of these Real Business Cycle and New-Keynesian dynamic stochastic general equilibrium models in fine detail, showing how to solve them, and how to add important extensions to the basic model, such as money, price and wage rigidities, financial markets, and an open economy. The impulse response functions of each new model show how the added feature changes the dynamics. The ABCs of RBCs is designed to teach the economic practitioner or student how to build simple RBC models. Matlab code for solving many of the models is provided, and careful readers should be able to construct, solve, and use their own models. In the tradition of the “freshwater” economic schools of Chicago and Minnesota, McCandless enhances the methods and sophistication of current macroeconomic modeling.
# An Introduction to Computational Macroeconomics

This book presents an introduction to computational macroeconomics, using a new approach to the study of dynamic macroeconomic models. It solves a variety of models in discrete time numerically, using a Microsoft Excel spreadsheet as a computer tool. The solved models include dynamic macroeconomic models with rational expectations, both non-microfounded and microfounded, constituting a novel approach that facilitates the learning and use of dynamic general equilibrium models, which have now become the principal tool for macroeconomic analysis. Spreadsheets are widely known and relatively easy to use, meaning that the computer skills needed to work with dynamic general equilibrium models are affordable for undergraduate students in Advanced Macroeconomics courses.
# Dynamic General Equilibrium Modeling

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.
# Introduction to Dynamic Macroeconomic Theory

Economies are constantly in flux, and economists have long sought reliable means of analyzing their dynamic properties. This book provides a succinct and accessible exposition of modern dynamic (or intertemporal) macroeconomics. The authors use a microeconomics-based general equilibrium framework, specifically the overlapping generations model, which assumes that in every period there are two generations which overlap. This model allows the authors to fully describe economies over time and to employ traditional welfare analysis to judge the effects of various policies. By choosing to keep the mathematical level simple and to use the same modeling framework throughout, the authors are able to address many subtle economic issues. They analyze savings, social security systems, the determination of interest rates and asset prices for different types of assets, Ricardian equivalence, business cycles, chaos theory, investment, growth, and a variety of monetary phenomena. Introduction to Dynamic Macroeconomic Theory will become a classic of economic exposition and a standard teaching and reference tool for intertemporal macroeconomics and the overlapping generations model. The writing is exceptionally clear. Each result is illustrated with analytical derivations, graphically, and by worked out examples. Exercises, which are strategically placed, are an integral part of the book.
# Applied General Equilibrium

This advanced textbook provides a straightforward but comprehensive introduction to applied general equilibrium modeling. General equilibrium is the backbone of modern economic analysis, which is why generation after generation of economics students have been introduced to it. As an analytical tool, general equilibrium can provide one of the most complete views of a given economy, as it incorporates all economic agents (households, firms, government and the foreign sector) in an integrated way that explicitly reveals the interplay of economic forces—supply and demand—and the balancing role of prices. Applied general equilibrium goes one step further in modeling, since it entails the integration of microeconomic theory, data handling and computing. This integration is essential for successful empirical modeling, but also involves various abilities that are not found in standard books. This book fills the gap, providing advanced students with the required tools, from the construction of consistent and applicable general equilibrium models to the interpretation of the results that ensue from the adoption of policies. This second edition expands the range of topics covered, including: indispensable general equilibrium theory, step-by-step model design, incremental model extensions, a wealth of sample computer code, procedures for constructing economic databases, database adjustments and database updating algorithms, numerical model calibration, policy strategies and their trade-offs and welfare effects, and a discussion of empirical policy examples.
# Financial Development and Growth

Macroeconomics research has made a quantum leap in the past decade in establishing a new workhorse model for open economy analysis. The unique characteristic of this literature is the introduction of the financial system in a dynamic general equilibrium (DGE) model which is based on microfoundations. Its introduction in a DGE model is essential to explain empirical facts such as growth differences across countries. The aim of this thesis is to show whether the behavior of growth can be explained by financial development within a classical approach. The model's ability to explain growth by setting financial development as a causal factor is tested against the model's performance to explain growth via setting the human capital as a causal factor. The question proposed and answered in this thesis is the following: Can an increase in productivity be produced by a development in the financial system or in the educational system and if so, is growth determined by this increase in productivity? The empirical performance of DSGE models is under scrutiny by researchers. This thesis is introducing the reader to a fairly new and unfamiliar testing procedure; indirect inference which is fully explained and applied. The idea of the thesis is to provide a better identified model compared to the already established econometric models on the financial development and growth nexus. The procedure followed is firstly to set up a well-established microfounded model and then to connect it to the theory via an establishment of the time series properties of various macroeconomic variables. The results based on 10 sample countries indicate that setting financial development as a causal factor explains the data behavior of macroeconomic variables better than a model which considers human capital as a driver of economic growth. 1.
# Dynamic Macroeconomic Theory

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.
# Post Walrasian Macroeconomics

Macroeconomics is evolving in an almost dialectic fashion. The latest evolution is the development of a new synthesis that combines insights of new classical, new Keynesian and real business cycle traditions into a dynamic, stochastic general equilibrium (DSGE) model that serves as a foundation for thinking about macro policy. That new synthesis has opened up the door to a new antithesis, which is being driven by advances in computing power and analytic techniques. This new synthesis is coalescing around developments in complexity theory, automated general to specific econometric modeling, agent-based models, and non-linear and statistical dynamical models. This book thus provides the reader with an introduction to what might be called a Post Walrasian research program that is developing as the antithesis of the Walrasian DSGE synthesis.
# The Macroeconomics of Imperfect Competition and Nonclearing Markets

In this book, Jean-Pascal Benassy attempts to integrate into a single unified framework dynamic macroeconomic models reflecting such diverse lines of thought as general equilibrium theory, imperfect competition, Keynesian theory, and rational expectations. He begins with a simple microeconomic synthesis of imperfect competition and nonclearing markets in general equilibrium under rational expectations. He then applies this framework to a large number of dynamic macroeconomic models, covering such topics as persistent unemployment, endogenous growth, and optimal fiscal-monetary policies. The macroeconomic methodology he uses is similar in spirit to that of the popular real business cycles theory, but the scope is much wider. All of the models are solved "by hand," making the underlying economic mechanisms particularly clear.
# Understanding DSGE models

While the theoretical development of DSGE models is not overly difficult to understand, practical application remains somewhat complex. The literature on this subject has some significant obscure points. This book can be thought of, firstly, as a tool to overcome initial hurdles with this type of modeling. Secondly, by showcasing concrete applications, it aims to persuade incipient researchers to work with this methodology. In principle, this is not a book on macroeconomics in itself, but on tools used in the construction of this sort of models. It strives to present this technique in a detailed manner, thereby providing a step by step course intended to walk readers through this otherwise daunting process. The book begins with a basic Real Business Cycle model. Subsequently various frictions are gradually incorporated into a standard DSGE model: imperfect competition; frictions in prices and in wages ; habit formation; non-Ricardian agents; adjustment cost in investment; costs of not using the maximum installed capacity; and finally, Government.
# Understanding DSGE models

While the theoretical development of DSGE models is not overly difficult to understand, practical application remains somewhat complex. The literature on this subject has some significant obscure points. This book can be thought of, firstly, as a tool to overcome initial hurdles with this type of modeling. Secondly, by showcasing concrete applications, it aims to persuade incipient researchers to work with this methodology. In principle, this is not a book on macroeconomics in itself, but on tools used in the construction of this sort of models. It strives to present this technique in a detailed manner, thereby providing a step by step course intended to walk readers through this otherwise daunting process. The book begins with a basic Real Business Cycle model. Subsequently various frictions are gradually incorporated into a standard DSGE model: imperfect competition; frictions in prices and in wages ; habit formation; non-Ricardian agents; adjustment cost in investment; costs of not using the maximum installed capacity; and finally, Government.
# Money Interest and Policy

An important recent advancement in macroeconomics is the development of dynamic stochastic general equilibrium (DSGE) macromodels. The use of DSGE models to study monetary policy, however, has led to paradoxical and puzzling results on a number of central monetary issues including price determinacy and liquidity effects. In Money, Interest, and Policy, Jean-Pascal Benassy argues that moving from the standard DSGE models—which he calls "Ricardian" because they have the famous "Ricardian equivalence" property—to another, "non-Ricardian" model would resolve many of these issues. A Ricardian model represents a household as a homogeneous family of infinitely lived individuals, and Benassy demonstrates that a single modification—the assumption that new agents are born over time (which makes the model non-Ricardian)—can bridge the current gap between monetary intuitions and facts, on one hand, and rigorous modeling, on the other. After comparing Ricardian and non-Ricardian models, Benassy introduces a model that synthesizes the two approaches, incorporating both infinite lives and births of new agents. He applies this model to a number of issues in monetary policy, namely liquidity effects, interest rate rules and price determinacy, global determinacy, the Taylor principle, and the fiscal theory of the price level. Finally, using a simple overlapping generations model, he analyzes optimal monetary and fiscal policies, with a special emphasis on optimal interest rate rules.
# Macroeconometric Models for Portfolio Management

‘Macroeconometric Models for Portfolio Management’ begins by outlining a portfolio management framework into which macroeconometric models and backtesting investment strategies are integrated. It is followed by a discussion on the theoretical backgrounds of both small and global large macroeconometric models, including data selection, estimation, and applications. Other practical concerns essential to managing a portfolio with decisions driven by macro models are also covered: model validation, forecast combination, and evaluation. The author then focuses on applying these models and their results on managing the portfolio, including making trading rules and asset allocation across different assets and risk management. The book finishes by showing portfolio examples where different investment strategies are used and illustrate how the framework can be applied from the beginning of collecting data, model estimation, and generating forecasts to how to manage portfolios accordingly. This book aims to bridge the gap between academia and practising professionals. Readers will attain a rigorous understanding of the theory and how to apply these models to their portfolios. Therefore, ‘Macroeconometric Models for Portfolio Management’ will be of interest to academics and scholars working in macroeconomics and finance; to industry professionals working in financial economics and asset management; to asset managers and investors who prefer systematic investing over discretionary investing; and to investors who have a strong interest in macroeconomic influences on their portfolio.
# Introduction to Computable General Equilibrium Models

This book provides an accessible, undergraduate-level introduction to computable general equilibrium (CGE) models, a class of model that has come to play an important role in government policy decisions. The book uses a graphical approach to explain the economic theory that underlies a CGE model, and provides results from simple, small-scale CGE models to illustrate the links between theory and model outcomes. The book includes eleven guided, hands-on exercises that introduce modeling techniques that are applied to real-world economic problems. Students will learn how to integrate their separate fields of economic study into a comprehensive, general equilibrium perspective as they develop their skills as producers or consumers of CGE-based analysis.