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Jonathan Roth

Personal Details

First Name:Jonathan
Middle Name:
Last Name:Roth
Suffix:
RePEc Short-ID:pro1247
[This author has chosen not to make the email address public]
https://jonathandroth.github.io/

Affiliation

Economics Department
Brown University

Providence, Rhode Island (United States)
http://www.econ.brown.edu/
RePEc:edi:edbrous (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Soonwoo Kwon & Jonathan Roth, 2024. "Testing Mechanisms," Papers 2404.11739, arXiv.org.
  2. Soonwoo Kwon & Jonathan Roth, 2024. "(Empirical) Bayes Approaches to Parallel Trends," Papers 2404.11839, arXiv.org.
  3. Jonathan Roth, 2024. "Interpreting Event-Studies from Recent Difference-in-Differences Methods," Papers 2401.12309, arXiv.org.
  4. Kutam, Matthew & Roth, Jonathan, 2024. "A Comment on "The Effects of Import Competition on Unionization"," I4R Discussion Paper Series 120, The Institute for Replication (I4R).
  5. Jiafeng Chen & Jonathan Roth, 2022. "Logs with zeros? Some problems and solutions," Papers 2212.06080, arXiv.org, revised Nov 2023.
  6. Jonathan Roth & Pedro H. C. Sant'Anna & Alyssa Bilinski & John Poe, 2022. "What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature," Papers 2201.01194, arXiv.org, revised Jan 2023.
  7. Jonathan Roth & Guillaume Saint-Jacques & YinYin Yu, 2021. "An Outcome Test of Discrimination for Ranked Lists," Papers 2111.07889, arXiv.org.
  8. Jonathan Roth & Pedro H. C. Sant'Anna, 2021. "Efficient Estimation for Staggered Rollout Designs," Papers 2102.01291, arXiv.org, revised May 2023.
  9. Wood, George & Tyler, Tom & Papachristos, Andrew V & Roth, Jonathan & Sant'Anna, Pedro H. C., 2021. "Revised findings for "Procedural justice training reduces police use of force and complaints against officers"," SocArXiv xf32m, Center for Open Science.
  10. Lawrence F. Katz & Jonathan Roth & Richard Hendra & Kelsey Schaberg, 2020. "Why Do Sectoral Employment Programs Work? Lessons from WorkAdvance," NBER Working Papers 28248, National Bureau of Economic Research, Inc.
  11. Ashesh Rambachan & Jonathan Roth, 2020. "Design-Based Uncertainty for Quasi-Experiments," Papers 2008.00602, arXiv.org, revised Feb 2024.
  12. Jonathan Roth & Pedro H. C. Sant'Anna, 2020. "When Is Parallel Trends Sensitive to Functional Form?," Papers 2010.04814, arXiv.org, revised Sep 2022.
  13. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," Papers 1909.10062, arXiv.org, revised Dec 2022.
  14. Jonathan Roth, 2018. "Should We Adjust for the Test for Pre-trends in Difference-in-Difference Designs?," Papers 1804.01208, arXiv.org, revised May 2018.

Articles

  1. Soonwoo Kwon & Jonathan Roth, 2024. "(Empirical) Bayes Approaches to Parallel Trends," AEA Papers and Proceedings, American Economic Association, vol. 114, pages 606-609, May.
  2. Jiafeng Chen & Jonathan Roth, 2024. "Logs with Zeros? Some Problems and Solutions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(2), pages 891-936.
  3. Jonathan Roth & Pedro H. C. Sant’Anna, 2023. "Efficient Estimation for Staggered Rollout Designs," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 1(4), pages 669-709.
  4. Roth, Jonathan & Sant’Anna, Pedro H.C. & Bilinski, Alyssa & Poe, John, 2023. "What’s trending in difference-in-differences? A synthesis of the recent econometrics literature," Journal of Econometrics, Elsevier, vol. 235(2), pages 2218-2244.
  5. Ashesh Rambachan & Jonathan Roth, 2023. "A More Credible Approach to Parallel Trends," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2555-2591.
  6. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023. "Inference for Linear Conditional Moment Inequalities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
  7. Jonathan Roth & Pedro H. C. Sant'Anna, 2023. "When Is Parallel Trends Sensitive to Functional Form?," Econometrica, Econometric Society, vol. 91(2), pages 737-747, March.
  8. Jonathan Roth, 2022. "Pretest with Caution: Event-Study Estimates after Testing for Parallel Trends," American Economic Review: Insights, American Economic Association, vol. 4(3), pages 305-322, September.
  9. Lawrence F. Katz & Jonathan Roth & Richard Hendra & Kelsey Schaberg, 2022. "Why Do Sectoral Employment Programs Work? Lessons from WorkAdvance," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 249-291.

Software components

  1. Mauricio Caceres Bravo & Jonathan Roth, 2023. "PRETRENDS: Stata module to produce power calculations for pre-trends tests," Statistical Software Components S459205, Boston College Department of Economics.
  2. Mauricio Caceres Bravo & Jonathan Roth & Pedro H.C. Sant'Anna, 2023. "STAGGERED: Stata module implementing R staggered package based on Roth and Sant'Anna (2023)," Statistical Software Components S459209, Boston College Department of Economics, revised 10 Oct 2024.
  3. Mauricio Caceres Bravo & Jonathan Roth & Ashesh Rambachan, 2022. "HONESTDID: Stata module implementing the HonestDiD R package," Statistical Software Components S459138, Boston College Department of Economics, revised 22 Mar 2024.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
  2. Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
  3. Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
  4. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
  5. Number of Journal Pages, Weighted by Simple Impact Factor
  6. Number of Journal Pages, Weighted by Recursive Impact Factor
  7. Number of Abstract Views in RePEc Services over the past 12 months
  8. Number of Downloads through RePEc Services over the past 12 months
  9. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
  10. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 15 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (11) 2018-04-16 2019-10-07 2020-08-17 2020-11-09 2021-04-12 2021-12-20 2022-01-31 2023-01-16 2024-02-26 2024-05-20 2024-06-10. Author is listed
  2. NEP-DES: Economic Design (1) 2021-12-20
  3. NEP-EXP: Experimental Economics (1) 2020-08-17
  4. NEP-HRM: Human Capital and Human Resource Management (1) 2021-02-08
  5. NEP-INT: International Trade (1) 2024-06-24
  6. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2021-02-08
  7. NEP-LTV: Unemployment, Inequality and Poverty (1) 2021-02-08
  8. NEP-MAC: Macroeconomics (1) 2024-02-26
  9. NEP-ORE: Operations Research (1) 2019-10-28
  10. NEP-URE: Urban and Real Estate Economics (1) 2021-02-15

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