I am a Ph.D. candidate in the Department of Economics, Cornell University. My research focuses on the intersection of econometrics and macroeconomics, with a particular emphasis on policy-related issues. I am particularly interested in using econometric techniques, such as partial identification, time series analysis, and Bayesian inference, to inform decision-making and improve policy outcomes. My work is both theoretical and applied, and I strive to bridge the gap between the two in my research.
My advisors are Francesca Molinari (chair), Yongmiao Hong, José Luis Montiel Olea, and Kristoffer Nimark.
I will be joining the Department of Economics at the University of Manchester as a Lecturer (Assistant Professor) this August.
Cornell University
University of Wisconsin-Madison
Southwest Jiaotong University.
The Safety Net as a Springboard? A General Equilibrium based Policy Evaluation.
(Domenico Ferraro, Nir Jaimovich, Francesca Molinari and Cristobal Young, working paper)
Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem.
(Charles Manski and Francesca Molinari,Journal of Econometrics 2020)
Confidence Intervals for Projections of Partially Identified Parameters.
(Hiroaki Kaido, Francesca Molinari and Jorg Stoye, Econometrica 2019)
Github
Cornell University