Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., Northwestern University 2008
  • M.A., Northwestern University 2005
• 

  Duke Appointment History

  • Associate Professor of Economics, Economics, Trinity College of Arts & Sciences 2013 - 2020
  • Assistant Professor of Economics, Economics, Trinity College of Arts & Sciences 2009 - 2013
• Research
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  Selected Grants

  • Econometric Methods for Models with Covariate Adaptive Randomization and Partial Identification awarded by  National Science Foundation 2017 - 2020
  • The Long Term Impact of Income Transfers During Childhood awarded by National Bureau of Economic Research 2014 - 2017
  • Collaborative Research: Extending The Scope of Inference in Partially Identified Models awarded by  National Science Foundation 2011 - 2015
  • Large State Space Issues in Dynamic Models awarded by  National Science Foundation 2011 - 2014
• Publications & Artistic Works
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  Selected Publications

  • Academic Articles

    • Bugni, F. A., and I. A. Canay. “Testing continuity of a density via g-order statistics in the regression discontinuity design.” Journal of Econometrics 221, no. 1 (March 1, 2021): 138–59. https://doi.org/10.1016/j.jeconom.2020.02.004.
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    • 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.
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    • 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.
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    • 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.
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    • 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.
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    • 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.
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    • 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.
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    • 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.
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    • Bugni, F. A. “Specification test for missing functional data.” Econometric Theory 28, no. 5 (October 1, 2012): 959–1002. https://doi.org/10.1017/S0266466612000023.
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    • 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.
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    • Bugni, F. A., I. A. Canay, and P. Guggenberger. “Distortions of Asymptotic Confidence Size in Locally Misspecified Moment Inequality Models.” Econometrica 80, no. 4 (July 1, 2012): 1741–68. https://doi.org/10.3982/ECTA9604.
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    • Bugni, F. A. “Bootstrap inference in partially identified models defined by moment inequalities: Coverage of the identified set.” Econometrica 78, no. 2 (March 1, 2010): 735–53. https://doi.org/10.3982/ECTA8056.
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    • Bugni, F. A., P. Hall, J. L. Horowitz, and G. R. Neumann. “Goodness-of-fit tests for functional data.” Econometrics Journal 12, no. SUPPL. 1 (July 23, 2009). https://doi.org/10.1111/j.1368-423X.2008.00266.x.
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  • Other Articles

    • Bugni, F. A., M. Caner, A. B. Kock, and S. Lahiri. “Inference in partially identified models with many moment inequalities using Lasso,” n.d.
       Link to Item
    • Bugni, F. A., and T. Ura. “Inference in Dynamic Discrete Choice Problems under Local Misspecification,” n.d.
       Link to Item
• Teaching & Mentoring
• 

  Recent Courses

  • ECON 704: First Year Introduction to Research 2021
  • ECON 890S: Special Topics in Economics 2021
  • ECON 903: Econometrics Workshop 2021
  • ECON 104D: Statistical Foundations of Econometrics and Data Science 2020
  • ECON 704: First Year Introduction to Research 2020
  • ECON 883: Special Topics in Econometrics 2020
  • ECON 890S: Special Topics in Economics 2020
  • ECON 903: Econometrics Workshop 2020
  • ECON 593: Research Independent Study 2019
  • ECON 703D: Econometrics I 2019
  • ECON 704: First Year Introduction to Research 2019
  • ECON 883: Special Topics in Econometrics 2019
  • ECON 899: Internship 2019
  • ECON 903: Econometrics Workshop 2019

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