Discrete-Time Finite Horizon Approximation of Infinite Horizon Optimization Problems with Steady-State Invariance
研究大规模非线性跨期优化问题的时间聚合方法，发现常用方法会使稳态解依赖于时间区间序列的选择，并给出了避免这种依赖的充要条件，从而显著提高数值精度，对大规模应用一般均衡建模有用。
The computation of large-scale nonlinear intertemporal optimization problems requires time aggregation. A procedure generally adopted is shown to introduce a dependency of the solution steady state to a specific choice of sequence of time intervals. The authors establish necessary and sufficient conditions to avoid this dependency. The result is a considerable improvement in the numerical accuracy of the time-aggregated approximation. The conditions apply to a broad class of models and prove useful in large-scale applied general-equilibrium modeling. This conclusion is highlighted by a comparison with a spectral-projection method using optimal orthogonal collocation as in K. L. Judd (1992). Copyright 1994 by The Econometric Society.