Jann Spiess
Personal Details
First Name: | Jann |
Middle Name: | |
Last Name: | Spiess |
Suffix: | |
RePEc Short-ID: | psp218 |
[This author has chosen not to make the email address public] | |
https://gsb-faculty.stanford.edu/jann-spiess | |
Affiliation
Graduate School of Business
Stanford University
Stanford, California (United States)http://www.gsb.stanford.edu/
RePEc:edi:gsstaus (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Jann Spiess & Guido Imbens & Amar Venugopal, 2023.
"Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control,"
Papers
2305.00700, arXiv.org, revised Oct 2023.
- Jann Spiess & Guido Imbens & Amar Venugopal, 2023. "Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control," NBER Working Papers 31802, National Bureau of Economic Research, Inc.
- Rahul Ladhania & Jann Spiess & Lyle Ungar & Wenbo Wu, 2023. "Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests," Papers 2311.00577, arXiv.org.
- Susan Athey & Niall Keleher & Jann Spiess, 2023.
"Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal,"
Papers
2310.08672, arXiv.org, revised May 2024.
- Athey, Susan & Keleher, Niall & Spiess, Jann, 2023. "Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal," Research Papers 4146, Stanford University, Graduate School of Business.
- Maximilian Kasy & Jann Spiess, 2022.
"Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability,"
Papers
2208.09638, arXiv.org, revised Jul 2024.
- Kasy, Maximilian & Spiess, Jann, 2024. "Optimal Pre-analysis Plans: Statistical Decisions Subject to Implementability," IZA Discussion Papers 17187, Institute of Labor Economics (IZA).
- Maximilian Kasy & Jann Spiess, 2024. "Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability," CESifo Working Paper Series 11258, CESifo.
- Maximilian Kasy & Jann Spiess, 2022. "Rationalizing Pre-Analysis Plans:Statistical Decisions Subject to Implementability," Economics Series Working Papers 975, University of Oxford, Department of Economics.
- Bryce McLaughlin & Jann Spiess, 2022. "Algorithmic Assistance with Recommendation-Dependent Preferences," Papers 2208.07626, arXiv.org, revised Jan 2024.
- Stephen Coussens & Jann Spiess, 2021. "Improving Inference from Simple Instruments through Compliance Estimation," Papers 2108.03726, arXiv.org.
- Lea Bottmer & Guido Imbens & Jann Spiess & Merrill Warnick, 2021. "A Design-Based Perspective on Synthetic Control Methods," Papers 2101.09398, arXiv.org, revised Jul 2023.
- Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2021.
"Revisiting Event Study Designs: Robust and Efficient Estimation,"
Papers
2108.12419, arXiv.org, revised Jan 2024.
- Borusyak, Kirill & Jaravel, Xavier & Spiess, Jann, 2024. "Revisiting event-study designs: robust and efficient estimation," LSE Research Online Documents on Economics 123781, London School of Economics and Political Science, LSE Library.
- Borusyak, Kirill & Jaravel, Xavier & Spiess, Jann, 2022. "Revisiting Event Study Designs: Robust and Efficient Estimation," CEPR Discussion Papers 17247, C.E.P.R. Discussion Papers.
- Laura Blattner & Scott Nelson & Jann Spiess, 2021. "Unpacking the Black Box: Regulating Algorithmic Decisions," Papers 2110.03443, arXiv.org, revised May 2024.
- Jann Spiess & Vasilis Syrgkanis & Victor Yaneng Wang, 2021. "Finding Subgroups with Significant Treatment Effects," Papers 2103.07066, arXiv.org, revised Dec 2023.
- Talia Gillis & Bryce McLaughlin & Jann Spiess, 2021. "On the Fairness of Machine-Assisted Human Decisions," Papers 2110.15310, arXiv.org, revised Sep 2023.
- Jann Spiess, 2017. "Unbiased Shrinkage Estimation," Papers 1708.06436, arXiv.org, revised Oct 2017.
- Jann Spiess, 2017. "Bias Reduction in Instrumental Variable Estimation through First-Stage Shrinkage," Papers 1708.06443, arXiv.org, revised Oct 2017.
- Jens Ludwig & Sendhil Mullainathan & Jann Spiess, 2017. "Machine-Learning Tests for Effects on Multiple Outcomes," Papers 1707.01473, arXiv.org, revised May 2019.
- Tim Kautz & Katherine L. Milkman & Dena Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Pepi Pandiloski & Yeji Park & Aneesh Rai & Max Bazerman & John Beshears & Lauri Bonacorsi & Colin Camerer & , "undated".
"Megastudies Improve the Impact of Applied Behavioural Science,"
Mathematica Policy Research Reports
60225d44db8d411b9686b344e, Mathematica Policy Research.
- Katherine L. Milkman & Dena Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Pepi Pandiloski & Yeji Park & Aneesh Rai & Max Bazerman & John Beshears & Lauri Bonacorsi & Colin Camerer & Edward Chang, 2021. "Megastudies improve the impact of applied behavioural science," Nature, Nature, vol. 600(7889), pages 478-483, December.
Articles
- Alberto Abadie & Jann Spiess, 2022. "Robust Post-Matching Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(538), pages 983-995, April.
- Katherine L. Milkman & Linnea Gandhi & Mitesh S. Patel & Heather N. Graci & Dena M. Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Jake Rothschild & Jonathan E. Bogard & Ilana Brody & Christopher, 2022. "A 680,000-person megastudy of nudges to encourage vaccination in pharmacies," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(6), pages 2115126119-, February.
- Katherine L. Milkman & Dena Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Pepi Pandiloski & Yeji Park & Aneesh Rai & Max Bazerman & John Beshears & Lauri Bonacorsi & Colin Camerer & Edward Chang, 2021.
"Megastudies improve the impact of applied behavioural science,"
Nature, Nature, vol. 600(7889), pages 478-483, December.
- Tim Kautz & Katherine L. Milkman & Dena Gromet & Hung Ho & Joseph S. Kay & Timothy W. Lee & Pepi Pandiloski & Yeji Park & Aneesh Rai & Max Bazerman & John Beshears & Lauri Bonacorsi & Colin Camerer & , "undated". "Megastudies Improve the Impact of Applied Behavioural Science," Mathematica Policy Research Reports 60225d44db8d411b9686b344e, Mathematica Policy Research.
- Jens Ludwig & Sendhil Mullainathan & Jann Spiess, 2019. "Augmenting Pre-Analysis Plans with Machine Learning," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 71-76, May.
- Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
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:- Number of Citations, Discounted by Citation Age
- Number of Citations, Weighted by Simple Impact Factor, Discounted by Citation Age
- Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
- Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
- Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
- Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
- Number of Abstract Views in RePEc Services over the past 12 months
- Number of Downloads through RePEc Services over the past 12 months
- Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
- Euclidian citation score
- Breadth of citations across fields
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.- NEP-ECM: Econometrics (7) 2017-10-01 2017-10-01 2017-10-01 2021-02-15 2021-08-23 2021-09-06 2023-05-29. Author is listed
- NEP-BIG: Big Data (6) 2017-10-01 2021-03-29 2021-08-23 2021-11-22 2023-11-06 2023-11-20. Author is listed
- NEP-EXP: Experimental Economics (4) 2021-02-15 2021-03-29 2023-11-06 2023-11-20. Author is listed
- NEP-MIC: Microeconomics (3) 2021-10-11 2022-09-19 2022-09-19
- NEP-CMP: Computational Economics (2) 2023-05-29 2023-11-06
- NEP-ISF: Islamic Finance (2) 2021-08-23 2021-09-06
- NEP-UPT: Utility Models and Prospect Theory (2) 2022-09-19 2023-11-20
- NEP-ACC: Accounting and Auditing (1) 2021-10-11
- NEP-DES: Economic Design (1) 2023-05-29
- NEP-EDU: Education (1) 2023-11-20
- NEP-NUD: Nudge and Boosting (1) 2023-11-06
- NEP-REG: Regulation (1) 2021-10-11
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