Professor Bugni’s research interests are in theoretical econometrics, partial identification, inference, moment (in)equalities, missing data, and stochastic processes. He has received grants from the National Science Foundation. His most recent work has been published in journals like Econometrica. He is currently working on projects the explore the determinants of college graduation, missing functional data, robustness in partial identification, and regression with missing covariates.
- Ph.D., Northwestern University 2008
- M.A., Northwestern University 2005
Bugni, FA, Canay, IA, and Shi, X. "Inference for subvectors and other functions of partially identified parameters in moment inequality models." Quantitative Economics 8, no. 1 (March 2017): 1-38. (Working Paper) Full Text
Bugni, FA, and Ura, T. "Inference in Dynamic Discrete Choice Problems under Local Misspecification."
Bugni, FA, Caner, M, Kock, AB, and Lahiri, S. "Inference in partially identified models with many moment inequalities using Lasso." (Working Paper)
The Long Term Impact of Income Transfers During Childhood awarded by National Bureau of Economic Research (Principal Investigator). 2014 to 2017
Collaborative Research: Extending The Scope of Inference in Partially Identified Models awarded by National Science Foundation (Principal Investigator). 2011 to 2015
Large State Space Issues in Dynamic Models awarded by National Science Foundation (Co-Principal Investigator). 2011 to 2014