Computational Methods for the Study of Dynamic Economies

Häftad, Engelska, 2001

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2001-10-18
Mått:157 x 236 x 16 mm
Vikt:458 g
Format:Häftad
Språk:Engelska
Antal sidor:292
Förlag:OUP OXFORD
ISBN:9780199248278

Utforska kategorier

Makroekonomi inom Ekonomi och Ledarskap
Systemvetenskap och AI inom Data och IT

Mer om författaren

Ramon Marimon is Professor of Economics at the European University Institute, Florence.Andrew Scott is Associate Professor at the London Business School, and a Fellow of CEPR. He has taught at the LSE, Oxford, and Harvard University, and is an academic consultant to the Bank of England.

Recensioner i media

Review from previous edition An excellent introduction to computational methods for the study of stochastic rational expectations models. Leading researchers in the field cover the main numerical techniques currently applied in the computation of business cycle and growth models. Possibly the greatest merit of this volume is to provide a basis for graduate students from which they can start their own research.

Innehållsförteckning

1. Introduction ; 2. Linear Quadratic Approximations: An Introduction ; 3. A Toolkit for Analyzing Nonlinear Dynamic Stochastic Models Easily ; 4. Solving Nonlinear Rational Expectations Models by Eigenvalue-Eigenvector Decompositions ; Part II. Non-Linear Methods ; 6. Application of Weighted Residual Methods to Dynamic Economic Models ; 7. The Parametrized Expectations Approach: Some Practical Issues ; 8. Finite-Difference Methods for Continuous-Time Dynamic Programming ; Part III. Solving some dynamic economies ; 10. Computing Models of Social Security ; 11. Computation of Equilibria in Heterogenous Agent Economies