Papers


      1. A Robust Test for Weak Instruments, Journal of Business and Economic Statistics, Volume 31, Issue 3, July 2013, pp. 358-369 (Joint with Carolin Pflueger)

      2. Axiomatization and Measurement of Quasi-Hyperbolic Discounting, Quarterly Journal of Economics, Volume 129, Issue 3, August 2014, pp. 1449-1499 (Joint with Tomasz Strzalecki)

      3. Delta-Method Inference for a Class of Set-Identified SVARs, Journal of Econometrics, Volume 203, Issue 2, April 2018, pp. 316-327 (Joint with Bulat Gafarov and Matthias Meier)

      4. Marginal Tax Rates and Income: New Time Series Evidence, Quarterly Journal of Economics, Volume 133, Issue 4, November 2018, pp. 1803-1884 (Joint with Karel Mertens)

      5. Simultaneous Confidence Bands: Theory, Implementation, and an Application to SVARs, Journal of Applied Econometrics, Volume 34, Issue 1, January 2019, pp. 1-17 (Joint with Mikkel Plagborg-Møller),

          Appendix,   Matlab SimInference Class,   GitHub Repo,   Stata Implementation.

      6. Empirical Bayes Estimation of Treatment Effects with Many A/B Tests: An Overview, AEA Papers & Proceedings, Volume 109, May 2019, pp. 43-47 (Joint with Eduardo M. Azevedo, Alex Deng, Justin Rao, and E. Glen Weyl)

      7. Admissible, Similar Tests: A characterization, Econometric Theory, Volume 36, Issue 2, April 2020, pp. 347-366

      8. Posterior Distribution of Nondifferentiable Functions, Journal of Econometrics, Volume 217, Issue 1, July 2020, pp. 161-175 (Joint with Jonathan Payne, Toru Kitagawa, and Amilcar Velez)

      9. A/B Testing with Fat Tails , Journal of Political Economy, Accepted, February 2020 (Joint with Eduardo Azevedo, Alex Deng, Justin Rao, and E. Glen E. Weyl)

          Supplementary Material,  Code,

      10. (Machine) Learning Parameter Regions, Journal of Econometrics, Accepted, June 2020 (Joint with James Nesbit)

      11. Inference in SVARs Identified with an External Instruments, Journal of Econometrics, Accepted, May 2020 (Joint with James H. Stock and Mark Watson)

            GitHub Repo.

      12. Projection Inference for Set-Identified SVARs, New version coming soon (Joint with Bulat Gafarov and Matthias Meier)

      13. Competing Models, June 2020 (Joint with Pietro Ortoleva, Mallesh Pai, and Andrea Prat)

      14. A Robust Machine Learning Algorithm for Text Analysis, October 2019 (Joint with Shikun Ke and James Nesbit)

      15. Local Projection Inference is Simpler and More Robust Than You Think, July 2020 (Joint with Mikkel Plagborg-Møller)

      16. Machine Learning's Dropout Training is Distributionally Robust Optimal, September 2020 (Joint José Blanchet, Yang Kang, Viet Anh Nguyen, and Xuhui Zhang)





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Updated: September 13th, 2020