Endogenous Grids in Higher Dimensions: Delaunay Interpolation and Hybrid Methods
Alexander Ludwig and
Matthias Schцn
Authors registered in the RePEc Author Service: Matthias Schön
No 65, Working Paper Series in Economics from University of Cologne, Department of Economics
Abstract:
This paper investigates extensions of the method of endogenous gridpoints (ENDGM) introduced by Carroll (2006) to higher dimensions with more than one continuous endogenous state variable. We compare three different categories of algorithms: (i) the conventional method with exogenous grids (EXOGM), (ii) the pure method of endogenous gridpoints (ENDGM) and (iii) a hybrid method (HYBGM). ENDGM comes along with Delaunay interpolation on irregular grids. Comparison of methods is done by evaluating speed and accuracy. We find that HYBGM and ENDGM both dominate EXOGM. In an infinite horizon model, ENDGM also always dominates HYBGM. In a finite horizon model, the choice between HYBGM and ENDGM depends on the number of gridpoints in each dimension. With less than 150 gridpoints in each dimension ENDGM is faster than HYBGM, and vice versa. For a standard choice of 25 to 50 gridpoints in each dimension, ENDGM is 1:4 to 1:7 times faster than HYBGM in the finite horizon version and 2:4 to 2:5 times faster in the infinite horizon version of the model.
Keywords: Dynamic Models; Numerical Solution; Endogenous Gridpoints Method; Delaunay Interpolation (search for similar items in EconPapers)
JEL-codes: C63 E21 (search for similar items in EconPapers)
Date: 2013-08-29, Revised 2014-06-11
New Economics Papers: this item is included in nep-cmp and nep-dge
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Citations: View citations in EconPapers (5)
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Related works:
Journal Article: Endogenous Grids in Higher Dimensions: Delaunay Interpolation and Hybrid Methods (2018) 
Working Paper: Endogenous grids in higher dimensions: Delaunay interpolation and hybrid methods (2016) 
Working Paper: Endogenous Grids in Higher Dimensions: Delaunay Interpolation and Hybrid Methods (2014) 
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