Stanford
Lilia Maliar

Аreas of specialization

 

QUANTITATIVE MACROECONOMICS

MONETARY POLICY

ECONOMIC THEORY

ECONOMIES IN TRANSITION

ECONOMIC GROWTH AND DEVELOPMENT

MACHINE LEARNING

Recent presentations


— Session “What AI Can Do in Economics?“,  a paper “Deep Learning Classification: Modeling Discrete Labor Choice” (joint with Serguei Maliar and Pablo Winant), Slides, Video

— Session “Implications of Micro Level Heterogeneity for Macroeconomic Stabilization and Growth“, a paper “U.S. versus Europe: How Differential COVID-19 Policies Affect Inequality” (joint with Yuriy Gorodnichenko, Serguei Maliar and Christopher Naubert), Slides,Video

— EcoMod2021, Keynote Session: “Solving Dynamic Economic Models with Deep Learning: Theory and Applications”, Slides

View of the front of Stanford Campus

NSF GRANTS

“Artificial Intelligence and Deep Learning Solution Methods for Dynamic Economic Models” 

SES-1949413, Lead (collaborative with Santa Clara University), 05/01/2020-04/30/2023

“Analyzing non-stationary and unbalanced growth economic models"

SES-1559407, 08/15/2016 - 07/31/2019