RECENT WORKING PAPERS:

  1. Yuriy Gorodnichenko, Lilia Maliar, Serguei Maliar and Christopher Naubert (2020). “Household Savings and Monetary Policy under Individual and Aggregate Stochastic Volatility“, CEPR working paper 15614
  2. Lilia Maliar and Serguei Maliar (2020). “Deep Learning Classification: Modeling Discrete Labor Choice”, CEPR working paper DP 15346. 
  3. Vadym Lepetyuk, Lilia Maliar, Serguei Maliar and John Taylor (2020). “The Power of Open-Mouth Policies”. CEPR working paper 16262.
  4. Lilia Maliar, Serguei Maliar and Inna Tsener (2020). “Capital-Skill Complementarity: Twenty Years After”, CEPR working paper DP 15228.
  5. Lilia Maliar and John Taylor (2020). “Taylor Rules and Forward Guidance: A Rule is not a Path”. CEPR working paper DP 13383Version 2018: NBER working paper 26053.  
  6. Lilia Maliar and Christopher Naubert (2019). “Monetary Policy and Redistribution: A Look Under the Hatch with TANK”CEPR working paper DP 14159.
  7. Lilia Maliar, (2018). “Continuous Time versus Discrete Time in the New Keynesian Model: Closed-Form Solutions and Implications for Liquidity Trap.” CEPR working paper DP 13384.

WORK IN PROGRESS:

  1. Sergii Kiiashko and Lilia Maliar (2020), “Solving Sovereign Default Models with Taste Shocks”.
  2. Arka Bandyopadhyay and Lilia Maliar (2020). “Reinforcement Learning in Household Finance and Optimal Policy for a Servicer”. 
  3. Laurence Kotlikoff, Seung Lee, Lilia Maliar and Serguei Maliar (2017), “Long-Term Implications of Aging Population in the Macroeconomy”. 

PUBLICATIONS:

  1. Lilia Maliar, Serguei Maliar and pablo Winant (2021). “Deep Learning for Solving Dynamic Economic Models”. Journal of Monetary Economics (accepted with minor revision). – Version 2019 CEPR working paper 14024. – Version 2018.
  2. Vadym Lepetyuk, Lilia Maliar and Serguei Maliar (2020). “When the U.S. catches a cold, Canada sneezes: a lower-bound tale told by deep learning“.  Journal of Economic Dynamics and Control 117, 103926.. “Version 2019. CEPR working paper DP 14025. Version 2017. Bank of Canada staff paper #2017-21.
  3. Lilia Maliar, Serguei Maliar, John Taylor and Inna Tsener (2020). “A Tractable Framework for Analyzing a Class of Nonstationary Markov Models“, Quantitative Economics 11, 1289-1323. Supplement.Earlier version 2015. NBER working paper 21155. Data are available from Inna Tsener’s website
  4. Chase Coleman, Spencer Lyon, Lilia Maliar and Serguei Maliar, (2020). Matlab, Python, Julia: What to Choose in Economics? Computational Economics linkCEPR working paper DP 13210, MATLAB, python and julia codes for neoclassical growth and new Keynesian models are available from QuantEcon site.
  5. Kenneth L. Judd, Lilia Maliar and Serguei Maliar, (2017). “Lower Bounds on Approximation Errors to Numerical Solutions of Dynamic Economic Models”, Econometrica 85 (3), 991-1020.
  6. Kenneth L. Judd, Lilia Maliar, Serguei Maliar and Inna Tsener, (2017). “How to solve dynamic stochastic models computing expectations just once”, Quantitative Economics 8 (3), 851-893.
  7. Cristina Arellano, Lilia Maliar, Serguei Maliar and Viktor Tsyrennikov, (2016). “Envelope Condition Method with an Application to Default Risk Models”, Journal of Economic Dynamics and Control 69, 436-459.
  8. Lilia Maliar and Serguei Maliar, (2016). “Ruling Out Multiplicity of Smooth Equilibria in Dynamic Games: A Hyperbolic Discounting Example”, Dynamic Games and Applications 6(2), 243-261, in special issue “Dynamic Games in Macroeconomics” edited by Edward C. Prescott and Kevin L Reffett.
  9. Lilia Maliar and Serguei Maliar, (2015). “Merging Simulation and Projection Aproaches to Solve High-Dimensional Problems with an Application to a New Keynesian model”, Quantitative Economics 6, 1-47 (LEAD ARTICLE). – Version 2012. Includes EDS non-linear solutions to a new Keynesian model, NBER18501. – Version 2011. Includes CGA non-linear solutions to a new Keynesian model. – Version 2010. A Cluster-Grid Projection Algorithm: Solving Problems with High Dimensionality, NBER15965.
  10. Lilia Maliar (2015). “Assessing Gains from Parallel Computation on Supercomputers”, Economics Bulletin 35/1, 159-167.
  11. Kenneth L. Judd, Lilia Maliar, Serguei Maliar and Rafael Valero, (2014). “Smolyak Method for Solving Dynamic Economic Models: Lagrange Interpolation, Anisotropic Grid and Adaptive Domain”, Journal of Economic Dynamic and Control 44(C), 92-123.
  12. Lilia Maliar and Serguei Maliar, (2013). “Envelope Condition Method versus Endogenous Grid Method for Solving Dynamic Programming Problems”, Economic Letters 120, 262-266.
  13. Lilia Maliar, Serguei Maliar and Sebastien Villemot, (2013). “Taking Perturbation to the Accuracy Frontier: A Hybrid of Local and Global Solutions”, Computational Economics 42(3), 307-325.
  14. Kenneth L. Judd, Lilia Maliar and Serguei Maliar, (2011). “Numerically Stable and Accurate Stochastic Simulation Methods for Solving Dynamic Models” and “Supplement”, Quantitative Economics 2, 173-210.
  15. Serguei Maliar, Lilia Maliar and Kenneth L. Judd, (2011). “Solving the Multi-Country Real Business Cycle Model Using Ergodic Set Methods” Journal of Economic Dynamic and Control 35(2), 207-228.
  16. Lilia Maliar and Serguei Maliar, (2011). “Capital-Skill Complementarity and Steady-State Growth”, Economica 78, 240-259.
  17. Lilia Maliar, Serguei Maliar and Fernando Valli, (2010). “Solving the Incomplete Markets Model with Aggregate Uncertainty Using the Krusell-Smith Algorithm”, Journal of Economic Dynamics and Control 34, 42-49.
  18. Kateryna Garmel, Lilia Maliar and Serguei Maliar, (2008). “The EU Eastern Enlargement and FDI: the Implications from a Neoclassical Growth Model”, Journal of Comparative Economics 36/2, 307-325.
  19. Lilia Maliar, Serguei Maliar and Fidel Perez, (2008). “Sovereign Risk, FDI Spillovers, and Economic Growth”, Review of International Economics 16/3, 463-477.
  20. Dmytro Kylymnyuk, Lilia Maliar and Serguei Maliar, (2007). “Rich, Poor and Growth-Miracle Nations: Multiple Equilibria Revisited”, BE Journals in Macroeconomics, Topics in Macroeconomics: Vol. 7: No. 1, Article 20.
  21. Dmytro Kylymnyuk, Lilia Maliar and Serguei Maliar, (2007). “A Model of Unbalanced Sectorial Growth with Application to Transition Economies”, Economic Change and Restructuring 40/4, 309-325.
  22. Lilia Maliar and Serguei Maliar, (2007). “Short-Run Patience and Wealth Distribution”, Studies in Nonlinear Dynamics and Econometrics, Vol.11: No. 1, Article 4.
  23. Lilia Maliar and Serguei Maliar, (2006). “The Neoclassical Growth Model with Heterogeneous Quasi-Geometric Consumers”, Journal of Money, Credit, and Banking 38(3), 635-654.
  24. Lilia Maliar and Serguei Maliar, (2006). “Indeterminacy in a Log-Linearized Neoclassical Growth Model with Quasi-Geometric Discounting”, Economics Modelling 23/3, 492-505.
  25. Lilia Maliar and Serguei Maliar, (2005). “Solving the Neoclassical Growth Model with Quasi-Geometric Discounting: A Grid-Based Euler-Equation Method”, Computational Economics 26, 163-172.
  26. Lilia Maliar, Serguei Maliar and Juan Mora, (2005). “Income and Wealth Distributions Along the Business Cycle: Implications from the Neoclassical Growth Model”, BE Journals in Macroeconomics, Topics in Macroeconomics Vol. 5: No. 1, Article 15.
  27. Lilia Maliar and Serguei Maliar, (2005). “Solving Nonlinear Stochastic Growth Models: an Algorithm Computing Value Function by Simulations”, Economics Letters 87, 135-140.
  28. Dmytro Boyarchuk, Lilia Maliar and Serguei Maliar, (2005). “The Consumption and Welfare Implications of Wage Arrears in Transition Economies”, Journal of Comparative Economics 33(3), 540-567.
  29. Lilia Maliar and Serguei Maliar, (2005). “Parameterized Expectations Algorithm: How to Solve for Labor Easily”, Computational Economics 25, 269-274.
  30. Lilia Maliar and Serguei Maliar, (2004). “Endogenous Growth and Endogenous Business Cycles”, Macroeconomic Dynamics 8/5, 1-23.
  31. Lilia Maliar and Serguei Maliar, (2004). “Indivisible Labor, Lotteries and Idiosyncratic Productivity Shocks”, Mathematical Social Sciences 48, 23-35.
  32. Lilia Maliar and Serguei Maliar, (2004). “Preference Shocks from Aggregation: Time Series Data Evidence”, Canadian Journal of Economics 37/3, 768-781.
  33. Lilia Maliar and Serguei Maliar, (2004). “Quasi-Geometric Discounting: a Closed-Form Solution under the Exponential Utility Function”, Bulletin of Economic Research 56/2, 201-206.
  34. Lilia Maliar and Serguei Maliar, (2003). “Quasi-Linear Preferences in the Macroeconomy: Indeterminacy, Heterogeneity and the Representative Consumer”, Spanish Economic Review 5, 251-267.
  35. Lilia Maliar and Serguei Maliar, (2003). “The Representative Consumer in the Neoclassical Growth Model with Idiosyncratic Shocks”, Review of Economic Dynamics 6, 362-380.
  36. Lilia Maliar and Serguei Maliar, (2003). “Parameterized Expectations Algorithm and the Moving Bounds”, Journal of Business and Economic Statistics 21/1, 88-92.
  37. Lilia Maliar and Serguei Maliar, (2001). “Heterogeneity in Capital and Skills in a Neoclassical Stochastic Growth Model”, Journal of Economic Dynamics and Control 25/9, 1367-1397.
  38. Lilia Maliar and Serguei Maliar, (2000). “Differential Responses of Labor Supply Across Productivity Groups”, Journal of Macroeconomics, 22, 85-108.

PERMANENT WORKING PAPERS:

  1. Liudmyla Hvozdyk, Lilia Maliar and Serguei Maliar, (2006). “Downward Nominal Wage Rigidity: The Implications from a New-Keynesian Model”, IVIE WP AD2006-4.
  2. Lilia Maliar and Serguei Maliar, (2005). “An Analytical Construction of Constantinides’ Social Utility Function”, IVIE WP AD2005-25.
  3. M. Dolores Collado, Lilia Maliar and Serguei Maliar, (2003). “Quasi-Geometric Consumers: Panel Data Evidence”, IVIE WP AD2003-09.