Solving Nonlinear Rational Expectations Models by Parameterized Expectations

Solving Nonlinear Rational Expectations Models by Parameterized Expectations PDF Author: Albert Marcet
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 118

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Book Description

Solving Nonlinear Rational Expectations Models by Parameterized Expectations

Solving Nonlinear Rational Expectations Models by Parameterized Expectations PDF Author: Albert Marcet
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 118

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Book Description


Rational Expectations in Macroeconomic Models

Rational Expectations in Macroeconomic Models PDF Author: P. Fisher
Publisher: Springer Science & Business Media
ISBN: 9401580022
Category : Business & Economics
Languages : en
Pages : 215

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Book Description
It is commonly believed that macroeconomic models are not useful for policy analysis because they do not take proper account of agents' expectations. Over the last decade, mainstream macroeconomic models in the UK and elsewhere have taken on board the `Rational Expectations Revolution' by explicitly incorporating expectations of the future. In principle, one can perform the same technical exercises on a forward expectations model as on a conventional model -- and more! Rational Expectations in Macroeconomic Models deals with the numerical methods necessary to carry out policy analysis and forecasting with these models. These methods are often passed on by word of mouth or confined to obscure journals. Rational Expectations in Macroeconomic Models brings them together with applications which are interesting in their own right. There is no comparable textbook in the literature. The specific subjects include: (i) solving for model consistent expectations; (ii) the choice of terminal condition and time horizon; (iii) experimental design: i.e., the effect of temporary vs permanent, anticipated vs. unanticipated shocks; deterministic vs. stochastic, dynamic vs. static simulation; (iv) the role of exchange rate; (v) optimal control and inflation-output tradeoffs. The models used are those of the Liverpool Research Group in Macroeconomics, the London Business School and the National Institute of Economic and Social Research.

The Oxford Handbook of Computational Economics and Finance

The Oxford Handbook of Computational Economics and Finance PDF Author: Shu-Heng Chen
Publisher: Oxford University Press
ISBN: 0190877502
Category : Business & Economics
Languages : en
Pages : 785

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Book Description
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.

The Oxford Handbook of Computational Economics and Finance

The Oxford Handbook of Computational Economics and Finance PDF Author: Shu-Heng Chen
Publisher: Oxford University Press
ISBN: 0199844380
Category : Business & Economics
Languages : en
Pages : 785

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Book Description
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.

Handbook of Macroeconomics

Handbook of Macroeconomics PDF Author: John B. Taylor
Publisher: Elsevier
ISBN: 0444594884
Category : Business & Economics
Languages : en
Pages : 3009

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Book Description
Handbook of Macroeconomics Volumes 2A and 2B surveys major advances in macroeconomic scholarship since the publication of Volume 1 (1999), carefully distinguishing between empirical, theoretical, methodological, and policy issues, including fiscal, monetary, and regulatory policies to deal with crises, unemployment, and economic growth. As this volume shows, macroeconomics has undergone a profound change since the publication of the last volume, due in no small part to the questions thrust into the spotlight by the worldwide financial crisis of 2008. With contributions from the world's leading macroeconomists, its reevaluation of macroeconomic scholarship and assessment of its future constitute an investment worth making. - Serves a double role as a textbook for macroeconomics courses and as a gateway for students to the latest research - Acts as a one-of-a-kind resource as no major collections of macroeconomic essays have been published in the last decade - Builds upon Volume 1 by using its section headings to illustrate just how far macroeconomic thought has evolved

Computational Techniques for Econometrics and Economic Analysis

Computational Techniques for Econometrics and Economic Analysis PDF Author: D.A. Belsley
Publisher: Springer Science & Business Media
ISBN: 9401583722
Category : Business & Economics
Languages : en
Pages : 237

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Book Description
It is unlikely that any frontier of economics/econometrics is being pushed faster, further than that of computational techniques. The computer has become a tool for performing as well as an environment in which to perform economics and econometrics, taking over where theory bogs down, allowing at least approximate answers to questions that defy closed mathematical or analytical solutions. Tasks may now be attempted that were hitherto beyond human potential, and all the forces available can now be marshalled efficiently, leading to the achievement of desired goals. Computational Techniques for Econometrics and Economic Analysis is a collection of recent studies which exemplify all these elements, demonstrating the power that the computer brings to the economic analysts. The book is divided into four parts: 1 -- the computer and econometric methods; 2 -- the computer and economic analysis; 3 -- computational techniques for econometrics; and 4 -- the computer and econometric studies.

Computational Methods for the Study of Dynamic Economies

Computational Methods for the Study of Dynamic Economies PDF Author: Ramon Marimon
Publisher: OUP Oxford
ISBN: 0191522392
Category : Business & Economics
Languages : en
Pages : 298

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Book Description
Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unless very strong assumptions are made, understanding the properties of particular models requires solving the model using a computer. This volume brings together leading contributors in the field who explain in detail how to implement the computational techniques needed to solve dynamic economics models. A broad spread of techniques are covered, and their application in a wide range of subjects discussed. The book provides the basics of a toolkit which researchers and graduate students can use to solve and analyse their own theoretical models.

Linear Rational Expectations Models

Linear Rational Expectations Models PDF Author: Charles H. Whiteman
Publisher: U of Minnesota Press
ISBN: 1452907935
Category : Business & Economics
Languages : en
Pages : 151

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Book Description


Recursive Models of Dynamic Linear Economies

Recursive Models of Dynamic Linear Economies PDF Author: Lars Peter Hansen
Publisher: Princeton University Press
ISBN: 0691180733
Category : Business & Economics
Languages : en
Pages : 418

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Book Description
A guide to the economic modeling of household preferences, from two leaders in the field A common set of mathematical tools underlies dynamic optimization, dynamic estimation, and filtering. In Recursive Models of Dynamic Linear Economies, Lars Peter Hansen and Thomas Sargent use these tools to create a class of econometrically tractable models of prices and quantities. They present examples from microeconomics, macroeconomics, and asset pricing. The models are cast in terms of a representative consumer. While Hansen and Sargent demonstrate the analytical benefits acquired when an analysis with a representative consumer is possible, they also characterize the restrictiveness of assumptions under which a representative household justifies a purely aggregative analysis. Hansen and Sargent unite economic theory with a workable econometrics while going beyond and beneath demand and supply curves for dynamic economies. They construct and apply competitive equilibria for a class of linear-quadratic-Gaussian dynamic economies with complete markets. Their book, based on the 2012 Gorman lectures, stresses heterogeneity, aggregation, and how a common structure unites what superficially appear to be diverse applications. An appendix describes MATLAB programs that apply to the book's calculations.

The Rational Expectations Equilibrium Inventory Model

The Rational Expectations Equilibrium Inventory Model PDF Author: Tryphon Kollintzas
Publisher: Springer Science & Business Media
ISBN: 1468463748
Category : Science
Languages : en
Pages : 278

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Book Description
This volume consists of six essays that develop and/or apply "rational expectations equilibrium inventory models" to study the time series behavior of production, sales, prices, and inventories at the industry level. By "rational expectations equilibrium inventory model" I mean the extension of the inventory model of Holt, Modigliani, Muth, and Simon (1960) to account for: (i) discounting, (ii) infinite horizon planning, (iii) observed and unobserved by the "econometrician" stochastic shocks in the production, factor adjustment, storage, and backorders management processes of firms, as well as in the demand they face for their products; and (iv) rational expectations. As is well known according to the Holt et al. model firms hold inventories in order to: (a) smooth production, (b) smooth production changes, and (c) avoid stockouts. Following the work of Zabel (1972), Maccini (1976), Reagan (1982), and Reagan and Weitzman (1982), Blinder (1982) laid the foundations of the rational expectations equilibrium inventory model. To the three reasons for holding inventories in the model of Holt et al. was added (d) optimal pricing. Moreover, the popular "accelerator" or "partial adjustment" inventory behavior equation of Lovell (1961) received its microfoundations and thus overcame the "Lucas critique of econometric modelling.