Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/59626 
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dc.contributor.authorSu, Che-Linen
dc.contributor.authorJudd, Kenneth L.en
dc.date.accessioned2010-10-25-
dc.date.accessioned2012-07-12T12:33:36Z-
dc.date.available2012-07-12T12:33:36Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/10419/59626-
dc.description.abstractEstimating structural models is often viewed as computationally difficult, an impression partly due to a focus on the nested fixed-point (NFXP) approach. We propose a new constrained optimization approach for structural estimation. We show that our approach and the NFXP algorithm solve the same estimation problem, and yield the same estimates. Computationally, our approach can have speed advantages because we do not repeatedly solve the structural equation at each guess of structural parameters. Monte Carlo experiments on the canonical Zurcher bus-repair model demonstrate that the constrained optimization approach can be significantly faster.en
dc.language.isoengen
dc.publisher|aNorthwestern University, Kellogg School of Management, Center for Mathematical Studies in Economics and Management Science |cEvanston, ILen
dc.relation.ispartofseries|aDiscussion Paper |x1460en
dc.subject.ddc330en
dc.subject.keywordstructural estimationen
dc.subject.keyworddynamic discrete choice modelsen
dc.subject.keywordconstrained optimizationen
dc.titleConstrained optimization approaches to estimation of structural models-
dc.typeWorking Paperen
dc.identifier.ppn63770066Xen
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:nwu:cmsems:1460en

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