Computational Methods for the Study of Dynamic Economies

by Ramon Marimon (Editor), Andrew Scott (Editor)

Overview

Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unles 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.

Product Details

ISBN-13:	9780198294979
Publisher:	Oxford University Press
Publication date:	04/29/1999
Pages:	292
Product dimensions:	6.30(w) x 9.30(h) x 1.00(d)
Lexile:	1500L (what's this?)

About the Author

Ramon Marimon is Professor at the European University Institute, Florence.

Andrew Scott is Associate Professor at the London Business School, and a Fellow of CEPR. A Fellow of All Souls College, Oxford, he has also been Visiting Professor at Harvard University.

Table of Contents

1. Introduction: Computing Dynamic Economies, Ramon Marimon and Andrew Scott2. Introduction to Linear Quadratic Approximation Methods, Javier Diaz-Jimenez3. [missing data], Tom Sargent and Francois Velde4. A Toolkit for Analysing Nonlinear Quadratic Approximation Methods, Harald Uhlig5. Discrete State Space Methods for the Study of Dynamic Economies, Craig Burnside6. Application of Weighted Residual Methods for Dynamic Economic Models, Ellen McGratten7. Introduction to Parametrized Expectations Methods, Albert Marcet8. Finite Difference Methods for Continuous Time Dynamic Programming, Graham Candler9. Algorithms for Solving Dynamic Models with Occasionally Binding Constraints, Lawrence Christiano and Jonas Fischer10. Solving Nonlinear Rational Expectations Models by Eigenvalue Methods, Alfonso Novales Cincas11. Computation of Equilibria in Heterogenous Agent Economies, Jose Victor Rios-Rull12. Computing Social Security Reforms, Douglas Jones, Ayse Imrohoroglu, and Selo Imrohoroglu