Laura Liu's research interests encompass macroeconomics, econometrics, and network economics. She has been developing and implementing methods that facilitate estimation and improve forecasting performance in large-dimensional frameworks, with empirical applications mainly in macroeconomic and network economic setups. Her recent research topics include panel data and forecasting, structural macro models with granular data, and networks analysis from a time-series perspective. Her research has been published in Econometrica and Journal of Applied Econometrics.
Laura Liu received her Ph.D. in Economics from the University of Pennsylvania in 2017. Her dissertation, "Point and Density Forecasts in Panel Data Models", received the 2018 Arnold Zellner Thesis Award in Econometrics and Statistics from the American Statistical Association (ASA) section of Business and Economic Statistics and the Journal of Business and Economic Statistics.