Accuracy of numerical solutions using the Euler equation residuals

被引:54
作者
Santos, MS [1 ]
机构
[1] Univ Minnesota, Dept Econ, Minneapolis, MN 55455 USA
[2] Arizona State Univ, Dept Econ, Tempe, AZ 85287 USA
关键词
Euler equations; numerical solutions; approximation error; error bounds; accuracy tests;
D O I
10.1111/1468-0262.00165
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper is concerned with asymptotic properties on the accuracy of numerical solutions. It is shown that the approximation error of the policy function is of the same order of magnitude as the size of the Euler equation residuals. Moreover, for bounding this approximation error the most relevant parameters are the discount factor and the curvature of the return function. These findings provide theoretical foundations for the construction of tests to assess the performance of alternative computational methods.
引用
收藏
页码:1377 / 1402
页数:26
相关论文
共 17 条
[1]   DUALITY-THEORY FOR DYNAMIC OPTIMIZATION MODELS OF ECONOMICS - THE CONTINUOUS-TIME CASE [J].
BENVENISTE, LM ;
SCHEINKMAN, JA .
JOURNAL OF ECONOMIC THEORY, 1982, 27 (01) :1-19
[2]   On the role of computation in economic theory [J].
Bona, JL ;
Santos, MS .
JOURNAL OF ECONOMIC THEORY, 1997, 72 (02) :241-281
[3]   OPTIMAL ECONOMIC GROWTH AND UNCERTAINTY - DISCOUNTED CASE [J].
BROCK, WA ;
MIRMAN, LJ .
JOURNAL OF ECONOMIC THEORY, 1972, 4 (03) :479-513
[4]   LINEAR-QUADRATIC APPROXIMATION AND VALUE-FUNCTION ITERATION - A COMPARISON [J].
CHRISTIANO, LJ .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 1990, 8 (01) :99-113
[5]  
CHRISTIANO LJ, 1997, 218 NAT BUR EC RES T
[6]   SOLVING THE STOCHASTIC GROWTH-MODEL BY POLICY-FUNCTION ITERATION [J].
COLEMAN, WJ .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 1990, 8 (01) :27-29
[7]   ACCURACY IN SIMULATIONS [J].
DENHAAN, WJ ;
MARCET, A .
REVIEW OF ECONOMIC STUDIES, 1994, 61 (01) :3-17
[8]   PROJECTION METHODS FOR SOLVING AGGREGATE GROWTH-MODELS [J].
JUDD, KL .
JOURNAL OF ECONOMIC THEORY, 1992, 58 (02) :410-452
[9]   Asymptotic methods for aggregate growth models [J].
Judd, KL ;
Guu, SM .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 1997, 21 (06) :1025-1042
[10]  
Kahaner D., 1989, Numerical Methods and Software