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Research Interests for Federico Bugni

Research Interests: Theoretical and Applied Econometrics

Research website

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.

Keywords:
Partial Identification, Econometrics
Recent Publications   (search)
  1. Bugni, FA; Canay, IA; Shaikh, AM, Inference Under Covariate-Adaptive Randomization, Journal of the American Statistical Association, vol. 113 no. 524 (October, 2018), pp. 1784-1796, Informa UK Limited [doi[abs]
  2. Bugni, FA; Canay, IA; Shi, X, Inference for subvectors and other functions of partially identified parameters in moment inequality models, Quantitative Economics, vol. 8 no. 1 (March, 2017), pp. 1-38, The Econometric Society [doi]
  3. Aucejo, EM; Bugni, FA; Hotz, VJ, Identification and inference on regressions with missing covariate data, Econometric Theory, vol. 33 no. 1 (February, 2017), pp. 196-241, Cambridge University Press (CUP), ISSN 0266-4666 [doi[abs]
  4. Bugni, FA; Canay, IA; Shi, X, Specification tests for partially identified models defined by moment inequalities, Journal of Econometrics, vol. 185 no. 1 (January, 2015), pp. 259-282, Elsevier BV, ISSN 0304-4076 [doi[abs]
  5. Bugni, FA, COMPARISON of INFERENTIAL METHODS in PARTIALLY IDENTIFIED MODELS in TERMS of ERROR in COVERAGE PROBABILITY, Econometric Theory, vol. 32 no. 1 (October, 2014), pp. 187-242, Cambridge University Press (CUP), ISSN 0266-4666 [doi[abs]

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