An algorithm competition: first-order iterations versus Newton-based techniques

A comparison of Newton-based techniques and first order iterations used in solving nonlinear forward-looking models reveals that Newton-based techniques are considerably faster and less prone to simulation failure. The study compares the two techniques by solving them on MULTIMOD and finds that the Newton-Raphson iterative method is better than the Fair-Taylor algorithm.