Professor of Economics
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, F. A., and I. A. Canay. “Testing continuity of a density via g-order statistics in the regression discontinuity design.” Journal of Econometrics, January 1, 2020. https://doi.org/10.1016/j.jeconom.2020.02.004. Full Text
Bugni, F. A., I. A. Canay, and A. M. Shaikh. “Inference under covariate-adaptive randomization with multiple treatments.” Quantitative Economics 10, no. 4 (November 1, 2019): 1747–85. https://doi.org/10.3982/QE1150. Full Text
Bugni, F. A., I. A. Canay, and A. M. Shaikh. “Inference Under Covariate-Adaptive Randomization.” Journal of the American Statistical Association 113, no. 524 (October 2, 2018): 1784–96. https://doi.org/10.1080/01621459.2017.1375934. Full Text
Bugni, F. A., I. A. Canay, and X. Shi. “Inference for subvectors and other functions of partially identified parameters in moment inequality models.” Quantitative Economics 8, no. 1 (March 2017): 1–38. https://doi.org/10.3982/QE490. Full Text
Aucejo, E. M., F. A. Bugni, and V. J. Hotz. “Identification and inference on regressions with missing covariate data.” Econometric Theory 33, no. 1 (February 1, 2017): 196–241. https://doi.org/10.1017/S0266466615000250. Full Text Open Access Copy
Bugni, F. A., I. A. Canay, and X. Shi. “Specification tests for partially identified models defined by moment inequalities.” Journal of Econometrics 185, no. 1 (January 1, 2015): 259–82. https://doi.org/10.1016/j.jeconom.2014.10.013. Full Text
Bugni, F. A. “COMPARISON of INFERENTIAL METHODS in PARTIALLY IDENTIFIED MODELS in TERMS of ERROR in COVERAGE PROBABILITY.” Econometric Theory 32, no. 1 (October 10, 2014): 187–242. https://doi.org/10.1017/S0266466614000826. Full Text
Arcidiacono, P., P. Bayer, F. A. Bugni, and J. James. “Approximating High-Dimensional Dynamic Models: Sieve Value Function Iteration.” Advances in Econometrics 31 (January 1, 2013): 45–95. https://doi.org/10.1108/S0731-9053(2013)0000032002. Full Text Open Access Copy
Bugni, F. A. “Child labor legislation: Effective, benign, both, or neither?” Cliometrica 6, no. 3 (October 1, 2012): 223–48. https://doi.org/10.1007/s11698-011-0073-4. Full Text
Bugni, F. A., and T. Ura. “Inference in Dynamic Discrete Choice Problems under Local Misspecification,” n.d.
Bugni, F. A., M. Caner, A. B. Kock, and S. Lahiri. “Inference in partially identified models with many moment inequalities using Lasso,” n.d.
Econometric Methods for Models with Covariate Adaptive Randomization and Partial Identification awarded by National Science Foundation (Principal Investigator). 2017 to 2020
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