Numerical Steady State Solutions for Nonlinear Dynamic Optimization Models

Abstract

Nonlinear dynamic optimization models are widely used in theoretical and empirical economic modeling, especially in the field of optimal growth and intertemporal macroeconomic modeling. In this paper we present a sequential quadratic programming algorithm for computing directly the steady state solution for a wide class of nonlinear dynamic optimization problems in discrete time.

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Research Papers in Economics

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Last time updated on 7/6/2012

This paper was published in Research Papers in Economics.

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