Scholars@Duke

• Background
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  Education, Training, & Certifications

  • Ph.D., Northwestern University 2006
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  Previous Appointments & Affiliations

  • Associate Professor of Economics, Economics, Trinity College of Arts & Sciences 2016 - 2019
• Research
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  External Relationships

  • American Economic Association
  • Centre for Microdata Methods and Practice (CeMMAP)
  • Institute for Fiscal Studies (IFS)
  • Journal of Political Economy
  • National University of Singapore
  • Ohio State University
  • Singapore Management University
  • Toulouse School of Economics
  • University of Washington, Seattle
  • University of Western Ontario
• Publications & Artistic Works
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  Selected Publications

  • Academic Articles

    • Chesher, A., D. Kim, and A. M. Rosen. “IV methods for Tobit models.” Journal of Econometrics, January 1, 2023. https://doi.org/10.1016/j.jeconom.2023.01.010.
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    • Aristodemou, E., and A. M. Rosen. “A discrete choice model for partially ordered alternatives.” Quantitative Economics 13, no. 3 (July 1, 2022): 863–906. https://doi.org/10.3982/QE1497.
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    • Aradillas-López, A., and A. M. Rosen. “Inference in ordered response games with complete information.” Journal of Econometrics 226, no. 2 (February 1, 2022): 451–76. https://doi.org/10.1016/j.jeconom.2021.09.017.
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    • Chesher, A., and A. M. Rosen. “Generalized instrumental variable models, methods, and applications^⋆.” Handbook of Econometrics 7 (January 1, 2020): 1–110. https://doi.org/10.1016/bs.hoe.2019.11.001.
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    • Chesher, A., and A. M. Rosen. “Generalized Instrumental Variable Models.” Econometrica 85, no. 3 (May 1, 2017): 959–89. https://doi.org/10.3982/ECTA12223.
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    • Chernozhukov, V., W. Kim, S. Lee, and A. M. Rosen. “Implementing intersection bounds in stata.” Stata Journal 15, no. 1 (April 1, 2015): 21–44. https://doi.org/10.1177/1536867x1501500103.
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    • Chesher, Andrew, and Adam M. Rosen. “An instrumental variable random-coefficients model for binary outcomes.” The Econometrics Journal 17, no. 2 (June 2014): S1–19. https://doi.org/10.1111/ectj.12018.
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    • Chesher, A., A. M. Rosen, and K. Smolinski. “An instrumental variable model of multiple discrete choice.” Quantitative Economics 4, no. 2 (July 1, 2013): 157–96. https://doi.org/10.3982/QE240.
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    • Chesher, A., and A. M. Rosen. “What do instrumental variable models deliver with discrete dependent variables?” American Economic Review 103, no. 3 (May 1, 2013): 557–62. https://doi.org/10.1257/aer.103.3.557.
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    • Chernozhukov, V., S. Lee, and A. M. Rosen. “Intersection Bounds: Estimation and Inference.” Econometrica 81, no. 2 (March 1, 2013): 667–737. https://doi.org/10.3982/ECTA8718.
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    • Nevo, A., and A. M. Rosen. “Identification with imperfect instruments.” Review of Economics and Statistics 94, no. 3 (December 1, 2012): 659–71. https://doi.org/10.1162/REST_a_00171.
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    • Rosen, A. M. “Set identification via quantile restrictions in short panels.” Journal of Econometrics 166, no. 1 (January 1, 2012): 127–37. https://doi.org/10.1016/j.jeconom.2011.06.011.
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    • Rosen, A. M. “Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities.” Journal of Econometrics 146, no. 1 (September 1, 2008): 107–17. https://doi.org/10.1016/j.jeconom.2008.08.001.
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    • Molinari, F., and A. M. Rosen. “Comment.” Journal of Business and Economic Statistics 26, no. 3 (July 1, 2008): 297–302. https://doi.org/10.1198/073500108000000088.
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  • Scholarly Editions

    • Ho, Kate, and Adam M. Rosen. “Partial Identification in Applied Research: Benefits and Challenges,” October 2015.
    • Chernozhukov, Victor, Wooyoung Kim, Sokbae Simon Lee, and Adam Rosen. “Implementing intersection bounds in Stata,” May 28, 2014.
    • Chernozhukov, Victor, Wooyoung Kim, Sokbae Simon Lee, and Adam Rosen. “Implementing intersection bounds in Stata,” August 16, 2013.

  • Conference Papers

    • Chesher, A., and A. M. Rosen. “Counterfactual worlds.” In Annals of Economics and Statistics, 142:311–35, 2021. https://doi.org/10.15609/ANNAECONSTAT2009.142.0311.
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• Teaching & Mentoring
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  Recent Courses

  • ECON 704: First Year Introduction to Research 2023
  • ECON 707D: Econometrics II 2023
  • ECON 826: Partial Identification: Theory and Applications in Industrial Organization 2023
  • ECON 883: Special Topics in Econometrics 2023
  • ECON 903: Econometrics Workshop 2023
  • ECON 704: First Year Introduction to Research 2022
  • ECON 707D: Econometrics II 2022
  • ECON 826: Partial Identification: Theory and Applications in Industrial Organization 2022
  • ECON 883: Special Topics in Econometrics 2022
  • ECON 890: Special Topics in Economics 2022
  • ECON 903: Econometrics Workshop 2022
  • ECON 704: First Year Introduction to Research 2021
  • ECON 707D: Econometrics II 2021
  • ECON 883: Special Topics in Econometrics 2021
  • ECON 890S: Special Topics in Economics 2021
  • ECON 903: Econometrics Workshop 2021

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