LILIA
MALIAR ZAKLADNA
Investigadora no período 1996-2018
Stanford University
Stanford, Estados UnidosPublicacións en colaboración con investigadores/as de Stanford University (13)
2017
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How to solve dynamic stochastic models computing expectations just once
Quantitative Economics, Vol. 8, Núm. 3, pp. 851-893
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Lower Bounds on Approximation Errors to Numerical Solutions of Dynamic Economic Models
Econometrica, Vol. 85, Núm. 3, pp. 991-1012
2016
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Envelope condition method with an application to default risk models
Journal of Economic Dynamics and Control, Vol. 69, pp. 436-459
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Ruling Out Multiplicity of Smooth Equilibria in Dynamic Games: A Hyperbolic Discounting Example
Dynamic Games and Applications, Vol. 6, Núm. 2, pp. 243-261
2015
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Assessing Gains from Parallel Computation on a Supercomputer
Economics Bulletin, Vol. 35, Núm. 1, pp. 159-167
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Assessing gains from parallel computation on a supercomputer
Economics Bulletin, Vol. 35, Núm. 1, pp. 1-10
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Merging simulation and projection approaches to solve high-dimensional problems with an application to a new Keynesian model
Quantitative Economics, Vol. 6, Núm. 1, pp. 1-47
2014
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Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain
Journal of Economic Dynamics and Control, Vol. 44, pp. 92-123
2013
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Assessing gains from parallel computation on supercomputers
Working papers = Documentos de trabajo: Serie AD
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Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain
Working papers = Documentos de trabajo: Serie AD
2012
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Merging simulation and projection approaches to solve high-dimensional problems
Working papers = Documentos de trabajo: Serie AD
2011
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Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models
Working papers = Documentos de trabajo: Serie AD
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Solving the multi-country real business cycle model using ergodic set methods
Working papers = Documentos de trabajo: Serie AD