Inference in high-dimensional panel models with an application to gun control A Belloni, V Chernozhukov, C Hansen, D Kozbur Journal of Business & Economic Statistics 34 (4), 590-605, 2016 | 197 | 2016 |
Instrumental variables estimation with many weak instruments using regularized JIVE C Hansen, D Kozbur Journal of Econometrics 182 (2), 290-308, 2014 | 120 | 2014 |
P‐value based analysis for shared controls design in genome‐wide association studies DV Zaykin, DO Kozbur Genetic epidemiology 34 (7), 725-738, 2010 | 51 | 2010 |
Testing-based forward model selection D Kozbur American Economic Review 107 (5), 266-69, 2017 | 26 | 2017 |
Inference in additively separable models with a high-dimensional set of conditioning variables D Kozbur Journal of Business & Economic Statistics, 1-17, 2020 | 17* | 2020 |
Analysis of Testing‐Based Forward Model Selection D Kozbur Econometrica 88 (5), 2147-2173, 2020 | 15 | 2020 |
Targeted undersmoothing: Sensitivity analysis for sparse estimators C Hansen, D Kozbur, S Misra Review of Economics and Statistics 105 (1), 101-112, 2023 | 11* | 2023 |
Pandering VS. Persuasion? Phonetic Accommodation in the US Supreme Court D Chen, D Kozbur, A Yu en. In: SSRN Electronic Journal. ISSN, 1556-5068, 2015 | 7 | 2015 |
Sharp convergence rates for forward regression in high-dimensional sparse linear models D Kozbur arXiv preprint arXiv:1702.01000, 2017 | 5 | 2017 |
Inference for Dependent Data with Learned Clusters J Cao, C Hansen, D Kozbur, L Villacorta Review of Economics and Statistics, 1-45, 2024 | 4 | 2024 |
Dimension-free anticoncentration bounds for Gaussian order statistics with discussion of applications to multiple testing D Kozbur arXiv preprint arXiv:2107.10766, 2021 | 2 | 2021 |
Coronavirus: Testen und Einfrieren: eine Überlebensstrategie für die Schweizer Volkswirtschaft C Alos-Ferrer, S Ambühl, B Bartling, P Biroli Department of Economics, 2020 | 2 | 2020 |
Hedging Forecast Combinations With an Application to the Random Forest E Beck, D Kozbur, M Wolf arXiv preprint arXiv:2308.15384, 2023 | 1 | 2023 |
Simulating collusion: challenging conventional estimation methods N Bellert, A Günster | | 2024 |
Experts vs. machine–comparison of machine learning to expert-informed prediction of outcome after major liver surgery RD Staiger, T Mehra, SR Haile, A Domenghino, C Kümmerli, F Abbassi, ... HPB 26 (5), 674-681, 2024 | | 2024 |
Simulating collusion–challenging conventional estimators N Bellert, AM Günster, D Kozbur 24th ACM Conference on Economics and Computation, London, United Kingdom, 19 …, 2023 | | 2023 |
Acknowledgment to Reviewers of Econometrics in 2021 AK Hoshide, DF Meyer, A Jornaz, D Cialfi, AA Babajide, DE Giles, ... | | 2022 |
Essays in high-dimensional econometrics D Kozbur The University of Chicago, 2014 | | 2014 |
Consequences of Correlation Due to Shared Control Design in GWAS. DV Zaykin, DO Kozbur GENETIC EPIDEMIOLOGY 33 (8), 796-796, 2009 | | 2009 |
The Hedged Random Forest E Beck, D Kozbur, M Wolf | | |