Numerical Steady State Solutions for Nonlinear Dynamic Optimization Models
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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|Date of creation:||Jul 1994|
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