Institution: Georgetown University
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 | 4.04 | 3.50 | 1.01 | 0.00 | 8.54 | 93% |
| Last 10 Years | 8.07 | 10.56 | 2.02 | 0.00 | 20.65 | 97% |
| All Time | 8.07 | 10.56 | 2.02 | 0.00 | 20.65 | 93% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2025 | Identification and estimation of partial effects in nonlinear semiparametric panel models | Journal of Econometrics | A | 3 |
| 2024 | Assessing Sensitivity to Unconfoundedness: Estimation and Inference | Journal of Business & Economic Statistics | A | 3 |
| 2023 | Choosing exogeneity assumptions in potential outcome models | The Econometrics Journal | B | 2 |
| 2022 | GMM quantile regression | Journal of Econometrics | A | 5 |
| 2021 | Salvaging Falsified Instrumental Variable Models | Econometrica | S | 2 |
| 2020 | Inference on breakdown frontiers | Quantitative Economics | B | 2 |
| 2019 | Estimation of Models With Multiple-Valued Explanatory Variables | Journal of Business & Economic Statistics | A | 2 |
| 2018 | A quantile correlated random coefficients panel data model | Journal of Econometrics | A | 4 |
| 2018 | Identification of Treatment Effects Under Conditional Partial Independence | Econometrica | S | 2 |
| 2017 | Efficient estimation in models with independence restrictions | Journal of Econometrics | A | 1 |