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Jann Spiess
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Cited by
Year
Machine learning: an applied econometric approach
S Mullainathan, J Spiess
Journal of Economic Perspectives 31 (2), 87-106, 2017
21812017
Revisiting event study designs: Robust and efficient estimation
K Borusyak, X Jaravel, J Spiess
arXiv preprint arXiv:2108.12419, 2021
13602021
Big data and discrimination
TB Gillis, JL Spiess
The University of Chicago Law Review 86 (2), 459-488, 2019
1822019
Robust post-matching inference
A Abadie, J Spiess
Journal of the American Statistical Association 117 (538), 983-995, 2022
1762022
Megastudies improve the impact of applied behavioural science
KL Milkman, D Gromet, H Ho, JS Kay, TW Lee, P Pandiloski, Y Park, A Rai, ...
Nature 600 (7889), 478-483, 2021
1552021
A 680,000-person megastudy of nudges to encourage vaccination in pharmacies
KL Milkman, L Gandhi, MS Patel, HN Graci, DM Gromet, H Ho, JS Kay, ...
Proceedings of the National Academy of Sciences 119 (6), e2115126119, 2022
1022022
Blueprint for a cyclical shock insurance in the euro area
H Enderlein, J Spiess, L Guttenberg, A Vitorino
Notre Europe, 2013
1022013
Making One Size Fit All: Designing at Cyclical Adjustment Insurance Fund for the Eurozone
H Enderlein, L Guttenberg, J Spiess
Jacques Delors Institut, 2013
332013
Machine-learning tests for effects on multiple outcomes
J Ludwig, S Mullainathan, J Spiess
arXiv preprint arXiv:1707.01473, 2017
322017
Optimal estimation when researcher and social preferences are misaligned
J Spiess
Unpublished Manuscript, 2018
282018
Augmenting pre-analysis plans with machine learning
J Ludwig, S Mullainathan, J Spiess
Aea papers and proceedings 109, 71-76, 2019
182019
A design-based perspective on synthetic control methods
L Bottmer, GW Imbens, J Spiess, M Warnick
Journal of Business & Economic Statistics, 1-12, 2023
172023
On the fairness of machine-assisted human decisions
T Gillis, B McLaughlin, J Spiess
arXiv preprint arXiv:2110.15310, 2021
152021
Synthetic design: An optimization approach to experimental design with synthetic controls
N Doudchenko, K Khosravi, J Pouget-Abadie, S Lahaie, M Lubin, ...
Advances in Neural Information Processing Systems 34, 8691-8701, 2021
142021
Unpacking the black box: Regulating algorithmic decisions
L Blattner, S Nelson, J Spiess
arXiv preprint arXiv:2110.03443, 2021
132021
Improving inference from simple instruments through compliance estimation
S Coussens, J Spiess
arXiv preprint arXiv:2108.03726, 2021
112021
Algorithmic assistance with recommendation-dependent preferences
B McLaughlin, J Spiess
arXiv preprint arXiv:2208.07626, 2022
92022
Double and single descent in causal inference with an application to high-dimensional synthetic control
J Spiess, G Imbens, A Venugopal
Advances in Neural Information Processing Systems 36, 2024
52024
Machine Learning Explainability and Fairness: Insights from Consumer Lending
L Blattner, J Spiess
FinRegLab Empirical White Paper, 2022
5*2022
Bias reduction in instrumental variable estimation through first-stage shrinkage
J Spiess
arXiv preprint arXiv:1708.06443, 2017
52017
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