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David Michael Ritzwoller

Personal Details

First Name:David
Middle Name:Michael
Last Name:Ritzwoller
Suffix:
RePEc Short-ID:pri542
[This author has chosen not to make the email address public]
https://davidritzwoller.github.io/

Affiliation

Department of Economics
Harvard University

Cambridge, Massachusetts (United States)
http://www.economics.harvard.edu/
RePEc:edi:deharus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Stefano DellaVigna & Guido Imbens & Woojin Kim & David M. Ritzwoller, 2025. "Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation," Papers 2504.13295, arXiv.org.
  2. Maya M. Durvasula & Sabri Eyuboglu & David M. Ritzwoller, 2024. "Counting Clinical Trials: New Evidence on Pharmaceutical Sector Productivity," Papers 2405.08030, arXiv.org, revised Jan 2025.
  3. David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Order-Explicit Linearization of High-Dimensional $U$-Statistics," Papers 2405.07860, arXiv.org, revised Jul 2026.
  4. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org, revised Feb 2025.
  5. David M. Ritzwoller & Joseph P. Romano, 2023. "Reproducible Aggregation of Sample-Split Statistics," Papers 2311.14204, arXiv.org, revised Nov 2024.
  6. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
  7. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.

Articles

  1. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).
  2. David M Ritzwoller & Joseph P Romano, 2022. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(2), pages 976-1007.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Stefano DellaVigna & Guido Imbens & Woojin Kim & David M. Ritzwoller, 2025. "Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation," Papers 2504.13295, arXiv.org.

    Cited by:

    1. Alexander Lehner, 2026. "Bandwidth Selection for Spatial HAC Standard Errors," Papers 2603.03997, arXiv.org.
    2. Jorge A. Arroyo, 2025. "Big Wins, Small Net Gains: Direct and Spillover Effects of First Industry Entries in Puerto Rico," Papers 2511.19469, arXiv.org, revised Nov 2025.

  2. David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Order-Explicit Linearization of High-Dimensional $U$-Statistics," Papers 2405.07860, arXiv.org, revised Jul 2026.

    Cited by:

    1. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org, revised Feb 2025.

  3. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org, revised Feb 2025.

    Cited by:

    1. Alexander Eliseev & Sergei Seleznev, 2026. "Fake Date Tests: Can We Trust In-sample Accuracy of LLMs in Macroeconomic Forecasting?," Papers 2601.07992, arXiv.org, revised Mar 2026.
    2. Brandon Hauser & Mauricio Olivares, 2025. "A primer on power and sample size calculations for randomisation inference with experimental data," Fiscal Studies, John Wiley & Sons, vol. 46(3), pages 349-371, September.

  4. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.

    Cited by:

    1. Kentaro Kawato, 2025. "Balancing Weights for Causal Mediation Analysis," Papers 2512.09337, arXiv.org.
    2. Xiaohong Chen & Haitian Xie, 2025. "Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination," Cowles Foundation Discussion Papers 2467, Cowles Foundation for Research in Economics, Yale University.
    3. Xiaohong Chen & Haitian Xie, 2026. "On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination," Cowles Foundation Discussion Papers 2497, Cowles Foundation for Research in Economics, Yale University.
    4. Yu-Shiou Willy Lin & Dae Woong Ham & Iavor Bojinov, 2026. "Benefits and Costs of Adaptive Sampling," Papers 2604.24652, arXiv.org.
    5. David M. Ritzwoller & Joseph P. Romano, 2023. "Reproducible Aggregation of Sample-Split Statistics," Papers 2311.14204, arXiv.org, revised Nov 2024.
    6. Ting-Chih Hung & Yu-Chang Chen, 2026. "The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding," Papers 2601.17712, arXiv.org.
    7. Xiaohong Chen & Haitian Xie, 2025. "On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination," Papers 2510.16683, arXiv.org, revised Feb 2026.
    8. Yanqin Fan & Carlos A. Manzanares & Hyeonseok Park & Yuan Qi, 2026. "A Sensitivity Analysis of the Surrogate Index Approach for Estimating Long-Term Treatment Effects," Papers 2603.00580, arXiv.org.
    9. David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Order-Explicit Linearization of High-Dimensional $U$-Statistics," Papers 2405.07860, arXiv.org, revised Jul 2026.

Articles

  1. Chen, Jiafeng & Ritzwoller, David M., 2023. "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, vol. 237(2).

    Cited by:

    1. Kentaro Kawato, 2025. "Balancing Weights for Causal Mediation Analysis," Papers 2512.09337, arXiv.org.
    2. Xiaohong Chen & Haitian Xie, 2025. "Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination," Cowles Foundation Discussion Papers 2467, Cowles Foundation for Research in Economics, Yale University.
    3. Xiaohong Chen & Haitian Xie, 2026. "On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination," Cowles Foundation Discussion Papers 2497, Cowles Foundation for Research in Economics, Yale University.
    4. Yu-Shiou Willy Lin & Dae Woong Ham & Iavor Bojinov, 2026. "Benefits and Costs of Adaptive Sampling," Papers 2604.24652, arXiv.org.
    5. David M. Ritzwoller & Joseph P. Romano, 2023. "Reproducible Aggregation of Sample-Split Statistics," Papers 2311.14204, arXiv.org, revised Nov 2024.
    6. Ting-Chih Hung & Yu-Chang Chen, 2026. "The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding," Papers 2601.17712, arXiv.org.
    7. Xiaohong Chen & Haitian Xie, 2025. "On Local Overidentification and Efficiency Gains in Modern Causal Inference and Data Combination," Papers 2510.16683, arXiv.org, revised Feb 2026.
    8. Yanqin Fan & Carlos A. Manzanares & Hyeonseok Park & Yuan Qi, 2026. "A Sensitivity Analysis of the Surrogate Index Approach for Estimating Long-Term Treatment Effects," Papers 2603.00580, arXiv.org.
    9. David M. Ritzwoller & Vasilis Syrgkanis, 2024. "Order-Explicit Linearization of High-Dimensional $U$-Statistics," Papers 2405.07860, arXiv.org, revised Jul 2026.

  2. David M Ritzwoller & Joseph P Romano, 2022. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(2), pages 976-1007.

    Cited by:

    1. Robert Lantis & Erik Nesson, 2024. "The Hot Hand in the NBA 3-Point Contest: The Importance of Location, Location, Location," Journal of Sports Economics, , vol. 25(3), pages 283-321, April.
    2. David M. Ritzwoller & Joseph P. Romano & Azeem M. Shaikh, 2024. "Randomization Inference: Theory and Applications," Papers 2406.09521, arXiv.org, revised Feb 2025.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 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 (6) 2019-08-19 2021-08-09 2024-01-08 2024-06-17 2024-07-22 2025-05-12. Author is listed
  2. NEP-EXP: Experimental Economics (2) 2019-08-19 2021-08-09. Author is listed
  3. NEP-EFF: Efficiency and Productivity (1) 2024-06-17
  4. NEP-GEO: Economic Geography (1) 2025-05-12

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