lilia maliar
lilia maliar
Hoover Institution, Stanford University and University of Alicante
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TítuloCitado porAño
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
124*2011
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
952014
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
682015
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
622010
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
552001
The representative consumer in the neoclassical growth model with idiosyncratic shocks
L Maliar, S Maliar
Review of Economic Dynamics 6 (2), 362-380, 2003
532003
Parameterized expectations algorithm and the moving bounds
L Maliar, S Maliar
Journal of Business & Economic Statistics 21 (1), 88-92, 2003
512003
Numerical methods for large-scale dynamic economic models
L Maliar, S Maliar
Handbook of computational economics 3, 325-477, 2014
472014
Merging simulation and projection approaches to solve high-dimensional problems
KL Judd, L Maliar, S Maliar
National Bureau of Economic Research, 2012
462012
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
392011
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
392011
A cluster-grid projection method: solving problems with high dimensionality
KL Judd, L Maliar, S Maliar
National Bureau of Economic Research, 2010
342010
Endogenous growth and endogenous business cycles
L Maliar, S Maliar
Macroeconomic Dynamics 8 (5), 559-581, 2004
332004
Envelope condition method versus endogenous grid method for solving dynamic programming problems
L Maliar, S Maliar
Economics Letters 120 (2), 262-266, 2013
312013
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
272008
The consumption and welfare implications of wage arrears in transition economies
D Boyarchuk, L Maliar, S Maliar
Journal of Comparative Economics 33 (3), 540-564, 2005
232005
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
182017
Solving nonlinear stochastic growth models: iterating on value function by simulations
L Maliar, S Maliar
Economics Letters 87, 135-140, 2005
172005
The neoclassical growth model with heterogeneous quasi-geometric consumers
L Maliar, S Maliar
Journal of Money, Credit, and Banking 38 (3), 635-654, 2006
152006
Smolyak method for solving dynamic economic models: Lagrange interpolation, anisotropic grid and adaptive domain
KL Judd, L Maliar, S Maliar, R Valero
National Bureau of Economic Research, 2013
142013
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