
Lilia Maliar - Lilia Maliar
Oct 28, 2024 · Lilia Maliar is Professor of Economics at The Graduate Center of the City University of New York (CUNY), and currently serves as an associate editor for Quantitative Economics journal of the Econometric Society and advises the Bank of Canada.
Research - Lilia Maliar
Sep 17, 2024 · RECENT WORKING PAPERS: Arka Bandyopadhyay and Lilia Maliar (2024). “Reinforcement learning for household finance: designing policy via responsiveness”. SSRN working paper. Alexander Kwon and Lilia Maliar (2024), “Predicting Retirement and Social Security Decisions using Machine Learning”, CEPR discussion paper 19198.
Short Bio - Lilia Maliar
Sep 17, 2024 · Lilia Maliar is Professor of Economics and the Executive Officer of the PhD Program in Economics at The Graduate Center of the City University of New York (CUNY) and Visiting Fellow at the Hoover Institution at Stanford University.
Codes - Lilia Maliar
Sep 17, 2024 · COMPUTER CODES Python and Tensorflow code for the one-agent model studied in the article by Lilia Maliar, Serguei Maliar and Pablo Winant (2021). "Deep learning for solving dynamic economic models", Journal of Monetary Economics 122, 76-101.
Books and Chapters - Lilia Maliar
May 24, 2019 · Books and chapters written by economist Lilia Maliar. Lilia Maliar and Serguei Maliar, (2014). "Numerical Methods for Large Scale Dynamic Economic Models” in: Schmedders, K. and K. Judd (Eds.), Handbook of Computational Economics, Volume 3, Chapter 7, 325-477, Amsterdam: Elsevier Science.
We extend Maliar and Maliar’s (2005, 2006) algorithm by incorporating a simple polynomial rule for constructing the grid, which allows us to vary the concentration of capital grid points on different parts of the domain, thus increasing the accuracy of
Sep 25, 2019 · Lilia Maliar y Serguei Maliar z Pablo Winant x September 29, 2019 Abstract Arti cial intelligence (AI) has impressive applications in many elds (speech recognition, computer vision, etc.). This paper demonstrates that AI can be also used to analyze complex and high-dimensional dynamic economic models.
Students - Lilia Maliar
Students Maliar, Lilia 2024-09-17T16:05:25+00:00 The Graduate Center, CUNY, advisees: Arka Prava Bandyopadhyay , “ Reinforcement Learning for Household Finance: Designing Policy via Responsiveness “.
Yuriy Gorodnichenko, Lilia Maliar, Serguei Maliar and Christopher Naubert (2020). “Household Savings and Monetary Policy under Individual and Aggregate Stochastic Volatility”.
L.Maliar,S.Maliar/EconomicsLetters120(2013)262–266 265 Table 1 AccuracyandspeedofEGM-VFandECM-VFinthemodelwithelasticlaborsupply.a Polynomialdegree EGM-VF ECM-VF