Institution: University of California-Santa Barbara (UCSB)
Primary Field: Econometrics (weighted toward more recent publications)
Scores use coauthorship adjustment: α/n credit per paper, where n = number of authors. α = 2.02: calibrated so average adjusted count equals average raw count (a zero-sum adjustment).
| Period | S (4x) | A (2x) | B (1x) | C (½x) | Total | Percentile |
|---|---|---|---|---|---|---|
| Last 5 Years | 4.71 | 0.00 | 0.00 | 0.00 | 4.71 | 81% |
| Last 10 Years | 4.71 | 2.02 | 1.35 | 0.00 | 8.07 | 84% |
| All Time | 4.71 | 8.07 | 1.35 | 0.00 | 14.13 | 91% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2024 | On Binscatter | American Economic Review | S | 4 |
| 2021 | Deep Neural Networks for Estimation and Inference | Econometrica | S | 3 |
| 2020 | Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs | The Econometrics Journal | B | 3 |
| 2020 | Characteristic-Sorted Portfolios: Estimation and Inference | Review of Economics and Statistics | A | 4 |
| 2019 | Regression Discontinuity Designs Using Covariates | Review of Economics and Statistics | A | 4 |
| 2018 | On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference | Journal of the American Statistical Association | B | 3 |
| 2015 | Robust inference on average treatment effects with possibly more covariates than observations | Journal of Econometrics | A | 1 |
| 2013 | Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators | Journal of Econometrics | A | 2 |