Computational Solution of Large-Scale Macroeconometric Models (Advances in Computational Economics)

The purpose of this book is to present the available methodologies for the solution of large-scale macroeconometric models. This work reviews classical solution methods and introduces more recent techniques, such as parallel computing and nonstationary iterative algorithms.
The development of new and more efficient computational techniques has significantly influenced research and practice in macroeconometric modeling. This volume supplies practitioners and researchers with both a general presentation of numerical solution methods and specific discussions about particular problems encountered in the field.
The work is organized into five chapters. Solution techniques for linear and nonlinear systems are reviewed and a graph-theoretical approach to perform this analysis is introduced. A model simulation on parallel computers of large-scale macroeconometric models is also described. Finally, a theoretical framework of rational expectation models is presented.