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Details about Jann Spiess

Homepage:https://gsb-faculty.stanford.edu/jann-spiess
Workplace:Graduate School of Business, Stanford University, (more information at EDIRC)

Access statistics for papers by Jann Spiess.

Last updated 2023-12-07. Update your information in the RePEc Author Service.

Short-id: psp218


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Working Papers

2024

  1. Algorithmic Assistance with Recommendation-Dependent Preferences
    Papers, arXiv.org Downloads
  2. Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal
    Papers, arXiv.org Downloads View citations (3)
  3. Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability
    Papers, arXiv.org Downloads
  4. Revisiting Event Study Designs: Robust and Efficient Estimation
    Papers, arXiv.org Downloads View citations (167)
    Also in CEPR Discussion Papers, C.E.P.R. Discussion Papers (2022) Downloads
  5. Unpacking the Black Box: Regulating Algorithmic Decisions
    Papers, arXiv.org Downloads View citations (2)

2023

  1. A Design-Based Perspective on Synthetic Control Methods
    Papers, arXiv.org Downloads View citations (6)
  2. Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
    NBER Working Papers, National Bureau of Economic Research, Inc Downloads View citations (1)
    Also in Papers, arXiv.org (2023) Downloads View citations (4)
  3. Finding Subgroups with Significant Treatment Effects
    Papers, arXiv.org Downloads View citations (1)
  4. On the Fairness of Machine-Assisted Human Decisions
    Papers, arXiv.org Downloads View citations (4)
  5. Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests
    Papers, arXiv.org Downloads

2022

  1. Rationalizing Pre-Analysis Plans:Statistical Decisions Subject to Implementability
    Economics Series Working Papers, University of Oxford, Department of Economics Downloads

2021

  1. Improving Inference from Simple Instruments through Compliance Estimation
    Papers, arXiv.org Downloads View citations (6)

2019

  1. Machine-Learning Tests for Effects on Multiple Outcomes
    Papers, arXiv.org Downloads View citations (1)

2017

  1. Bias Reduction in Instrumental Variable Estimation through First-Stage Shrinkage
    Papers, arXiv.org Downloads View citations (2)
  2. Unbiased Shrinkage Estimation
    Papers, arXiv.org Downloads

Undated

  1. Megastudies Improve the Impact of Applied Behavioural Science
    Mathematica Policy Research Reports, Mathematica Policy Research Downloads
    See also Journal Article Megastudies improve the impact of applied behavioural science, Nature, Nature (2021) Downloads View citations (25) (2021)

Journal Articles

2022

  1. A 680,000-person megastudy of nudges to encourage vaccination in pharmacies
    Proceedings of the National Academy of Sciences, 2022, 119, (6), e2115126119 Downloads View citations (5)
  2. Robust Post-Matching Inference
    Journal of the American Statistical Association, 2022, 117, (538), 983-995 Downloads View citations (14)

2021

  1. Megastudies improve the impact of applied behavioural science
    Nature, 2021, 600, (7889), 478-483 Downloads View citations (25)
    See also Working Paper Megastudies Improve the Impact of Applied Behavioural Science, Mathematica Policy Research Reports Downloads

2019

  1. Augmenting Pre-Analysis Plans with Machine Learning
    AEA Papers and Proceedings, 2019, 109, 71-76 Downloads View citations (4)

2017

  1. Machine Learning: An Applied Econometric Approach
    Journal of Economic Perspectives, 2017, 31, (2), 87-106 Downloads View citations (657)
 
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