New Faculty

We are pleased to introduce you to a faculty member who joined the department in fall 2018 and five faculty members who began teaching in the fall 2019 semester.

Ala Avoyan

Ala Avoyan joined Indiana University in fall of 2018. Her research interests are in microeconomic theory and experimental economics, focusing on communication in strategic environments and on attention in decision problems and games. She is from Tbilisi, Georgia, where she received her B.Sc. in Mathematics and M.A. in Economics. Prof. Avoyan earned her Ph.D. from New York University in 2018.

Joshua Bernstein

Joshua Bernstein’s research interests are at the intersection of macroeconomics and public finance, with a specific focus on the design and effects of macroeconomic policies when households are heterogeneous in some dimension and financial markets are incomplete. He received his Ph.D. from Princeton University in 2019.

Rupal Kamdar

Rupal Kamdar joined Indiana University in the fall of 2019. Her interests lie broadly in the field macroeconomics. In her most recent work, she has used empirical and theoretical methodologies to better understand how economic agents form their expectations. Rupal holds a B.A. in Economic Theory and Mathematics from New York University and a Ph.D. in Economics from the University of California, Berkeley.

Laura Liu

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.

Christian Matthes

Christian Matthes works at the intersection of macroeconomics and econometrics. His main research interests are the econometric analysis of dynamic equilibrium models, the development of linear and non-linear time series models for macroeconomic data, as well as the study of equilibrium models with imperfect information.

A native of Germany, Christian received his undergraduate degree at Goethe University in Frankfurt before coming to the U.S. for his doctoral studies at NYU, where he received M.A. and Ph.D. degrees.

Prior to coming to IU, Christian worked at Universitat Pompeu Fabra in Barcelona from 2010-2013 and at the Federal Reserve Bank of Richmond’s research department from 2013 until he joined IU in 2019.