| Robust standard errors in small samples: Some practical advice GW Imbens, M Kolesár Review of Economics and Statistics 98 (4), 701-712, 2016 | 253 | 2016 |
| Shift-Share Designs: Theory and Inference R Adão, M Kolesár, E Morales Quarterly Journal of Economics 134 (4), 1949-2010, 2019 | 167 | 2019 |
| Clustering, spatial correlations, and randomization inference T Barrios, R Diamond, GW Imbens, M Kolesár Journal of the American Statistical Association 107 (498), 578-591, 2012 | 139 | 2012 |
| Inference in Regression Discontinuity Designs with a Discrete Running Variable M Kolesar, C Rothe American Economic Review 108 (8), 2277–2304, 2018 | 127 | 2018 |
| Identification and inference with many invalid instruments M Kolesár, R Chetty, J Friedman, E Glaeser, GW Imbens Journal of Business & Economic Statistics 33 (4), 474-484, 2015 | 121 | 2015 |
| Optimal inference in a class of regression models TB Armstrong, M Kolesár Econometrica 86 (2), 655-683, 2018 | 68 | 2018 |
| Simple and Honest Confidence Intervals in Nonparametric Regression TB Armstrong, M Kolesár Quantitative Economics 11 (1), 1-39, 2020 | 34 | 2020 |
| A simple adjustment for bandwidth snooping TB Armstrong, M Kolesár The Review of Economic Studies 85 (2), 732-765, 2018 | 31 | 2018 |
| Sensitivity Analysis using Approximate Moment Condition Models TB Armstrong, M Kolesár arXiv preprint arXiv:1808.07387, 2020 | 25 | 2020 |
| Estimation in an Instrumental Variables Model With Treatment Effect Heterogeneity M Kolesar https://www.princeton.edu/~mkolesar/papers/late-estimation.pdf, 2013 | 25 | 2013 |
| Inference in Instrumental Variables Analysis with Heterogeneous Treatment Effects KS Evdokimov, M Kolesár | 14* | 2017 |
| Finite-Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness TB Armstrong, M Kolesár arXiv preprint arXiv:1712.04594, 2020 | 11 | 2020 |
| Minimum distance approach to inference with many instruments M Kolesár Journal of Econometrics 204 (1), 86-100, 2018 | 8 | 2018 |
| Robust Empirical Bayes Confidence Intervals TB Armstrong, M Kolesár, M Plagborg-Møller arXiv preprint arXiv:2004.03448, 2020 | 2 | 2020 |
| Bias-Aware Inference in Regularized Regression Models TB Armstrong, M Kolesár, S Kwon arXiv preprint arXiv:2012.14823, 2020 | | 2020 |
| Essays on Instrumental Variables M Kolesar | | 2013 |
Timothy B. ArmstrongAssistant Professor of Economics, Yale UniversityEmail verificata su yale.edu
