Serguei Maliar

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Lilia MaliarThe Graduate Center, CUNY, and Hoover Institution, Stanford UniversitVerified email at gc.cuny.edu
Kenneth L Juddhoover institutionVerified email at stanford.edu
Rafael Valero FernandezSchool of Computing and Mathematics, Keele UniversityVerified email at keele.ac.uk
John B. TaylorRaymond Professor of Economics, Stanford UniversityVerified email at stanford.edu
Inna TsenerUniversity of the Balearic IslandsVerified email at uib.es
Pablo WinantESCP Business SchoolVerified email at escp.eu
Paul PichlerUniversity of ViennaVerified email at univie.ac.at
Robert KollmannProfessor of Economics, Université Libre de Bruxelles; Research Fellow, CEPRVerified email at ulb.ac.be
Ben MalinFederal Reserve Bank of MinneapolisVerified email at mpls.frb.org
Viktor TsyrennikovPromontoryVerified email at nyu.edu
Cristina ArellanoFederal Reserve Bank of MinneapolisVerified email at mpls.frb.org
Chase ColemanPhD Candidate, New York University (Stern Economics)Verified email at stern.nyu.edu
Spencer LyonPhD Candidate, New York University (Stern Economics)Verified email at stern.nyu.edu
Juan MoraUniversidad de AlicanteVerified email at ua.es
Fidel Perez-SebastianProfessor of Economics, University of AlicanteVerified email at ua.es
M. Dolores ColladoProfessor of Economics, Universidad de AlicanteVerified email at ua.es
Christopher NaubertCUNY Graduate CenterVerified email at gradcenter.cuny.edu
Yuriy GorodnichenkoQuantedge Presidential Professor of Economics, UC BerkeleyVerified email at econ.berkeley.edu
Morten O. RavnProfessor of Economics, University College LondonVerified email at ucl.ac.uk

Serguei Maliar

Santa Clara University

Verified email at stanford.edu - Homepage

Macroeconomics Economic Theory Numerical Methods Economies in Transition Economic Growth and Development


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Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain KL Judd, L Maliar, S Maliar, R Valero Journal of Economic Dynamics and Control 44, 92-123, 2014	239	2014
Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models KL Judd, L Maliar, S Maliar Quantitative Economics 2 (2), 173-210, 2011	202*	2011
Merging simulation and projection approaches to solve high‐dimensional problems with an application to a new Keynesian model L Maliar, S Maliar Quantitative Economics 6 (1), 1-47, 2015	114	2015
Deep learning for solving dynamic economic models. L Maliar, S Maliar, P Winant Journal of Monetary Economics 122, 76-101, 2021	109	2021
Solving the incomplete markets model with aggregate uncertainty using the Krusell–Smith algorithm L Maliar, S Maliar, F Valli Journal of Economic Dynamics and Control 34 (1), 42-49, 2010	106	2010
Numerical methods for large-scale dynamic economic models L Maliar, S Maliar Handbook of computational economics 3, 325-477, 2014	92	2014
The representative consumer in the neoclassical growth model with idiosyncratic shocks L Maliar, S Maliar Review of Economic Dynamics 6 (2), 362-380, 2003	72	2003
Parameterized expectations algorithm and the moving bounds L Maliar, S Maliar Journal of Business & Economic Statistics 21 (1), 88-92, 2003	71	2003
Heterogeneity in capital and skills in a neoclassical stochastic growth model L Maliar, S Maliar Journal of Economic Dynamics and Control 25 (9), 1367-1397, 2001	71	2001
Merging simulation and projection approaches to solve high-dimensional problems KL Judd, L Maliar, S Maliar National Bureau of Economic Research, 2012	59	2012
Solving the multi-country real business cycle model using ergodic set methods S Maliar, L Maliar, K Judd Journal of Economic Dynamics and Control 35 (2), 207-228, 2011	58	2011
Envelope condition method versus endogenous grid method for solving dynamic programming problems L Maliar, S Maliar Economics Letters 120 (2), 262-266, 2013	53	2013
Comparison of solutions to the multi-country real business cycle model R Kollmann, S Maliar, BA Malin, P Pichler Journal of Economic Dynamics and Control 35 (2), 186-202, 2011	52	2011
How to solve dynamic stochastic models computing expectations just once KL Judd, L Maliar, S Maliar, I Tsener Quantitative Economics 8 (3), 851-893, 2017	51	2017
A cluster-grid projection method: solving problems with high dimensionality KL Judd, L Maliar, S Maliar National Bureau of Economic Research, 2010	43	2010
Endogenous growth and endogenous business cycles L Maliar, S Maliar Macroeconomic Dynamics 8 (5), 559-581, 2004	39	2004
Envelope condition method with an application to default risk models C Arellano, L Maliar, S Maliar, V Tsyrennikov Journal of Economic Dynamics and Control 69, 436-459, 2016	38	2016
Will artificial intelligence replace computational economists any time soon? L Maliar, S Maliar, P Winant CEPR Discussion Paper No. DP14024, 2019	37	2019
EU eastern enlargement and foreign investment: Implications from a neoclassical growth model K Garmel, L Maliar, S Maliar Journal of Comparative Economics 36 (2), 307-325, 2008	37	2008
Capital-skill complementarity and inequality: Twenty years after L Maliar, S Maliar, I Tsener Economics Letters 220, 110844, 2022	31	2022

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