lilia maliar
lilia maliar
Hoover Institution, Stanford University and University of Alicante
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
1652014
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
157*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
942015
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
852010
Numerical methods for large-scale dynamic economic models
L Maliar, S Maliar
Handbook of computational economics 3, 325-477, 2014
692014
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
602001
The representative consumer in the neoclassical growth model with idiosyncratic shocks
L Maliar, S Maliar
Review of Economic Dynamics 6 (2), 362-380, 2003
592003
Parameterized expectations algorithm and the moving bounds
L Maliar, S Maliar
Journal of Business & Economic Statistics 21 (1), 88-92, 2003
592003
Merging simulation and projection approaches to solve high-dimensional problems
KL Judd, L Maliar, S Maliar
National Bureau of Economic Research, 2012
552012
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
522011
A cluster-grid projection method: solving problems with high dimensionality
KL Judd, L Maliar, S Maliar
National Bureau of Economic Research, 2010
422010
Envelope condition method versus endogenous grid method for solving dynamic programming problems
L Maliar, S Maliar
Economics Letters 120 (2), 262-266, 2013
362013
Endogenous growth and endogenous business cycles
L Maliar, S Maliar
Macroeconomic Dynamics 8 (5), 559, 2004
362004
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
342017
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
332008
A tractable framework for analyzing a class of nonstationary Markov models
L Maliar, S Maliar, J Taylor, I Tsener
National Bureau of Economic Research, 2015
27*2015
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
262016
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
Will artificial intelligence replace computational economists any time soon?
L Maliar, S Maliar, P Winant
CEPR Discussion Paper No. DP14024, 2019
202019
Capital–skill complementarity and balanced growth
L Maliar, S Maliar
Economica 78 (310), 240-259, 2011
192011
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Articles 1–20