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Comment on "Constrained Optimization Approaches to Estimation of Structural Models

Authors
Iskhakov, FedorLee, JinhyukRust, JohnSchjerning, BertelSeo, Kyoungwon
Issue Date
1월-2016
Publisher
WILEY-BLACKWELL
Keywords
Structural estimation; dynamic discrete choice; NFXP; MPEC; successive approximations; Newton-Kantorovich algorithm
Citation
ECONOMETRICA, v.84, no.1, pp.365 - 370
Indexed
SCIE
SSCI
SCOPUS
Journal Title
ECONOMETRICA
Volume
84
Number
1
Start Page
365
End Page
370
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/89949
DOI
10.3982/ECTA12605
ISSN
0012-9682
Abstract
We revisit the comparison of mathematical programming with equilibrium constraints (MPEC) and nested fixed point (NFXP) algorithms for estimating structural dynamic models by Su and Judd (2012). Their implementation of the nested fixed point algorithm used successive approximations to solve the inner fixed point problem (NFXP-SA). We redo their comparison using the more efficient version of NFXP proposed by Rust (1987), which combines successive approximations and Newton-Kantorovich iterations to solve the fixed point problem (NFXP-NK). We show that MPEC and NFXP are similar in speed and numerical performance when the more efficient NFXP-NK variant is used.
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