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.

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.

• 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

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.

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.

• 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

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.

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.

• 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