Institution: Brandeis University
Primary Field: Econometrics (weighted toward more recent publications)
Homepage: https://tslocz.github.io/
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 | 0.00 | 5.38 | 0.00 | 0.00 | 5.38 | 85% |
| Last 10 Years | 0.00 | 6.19 | 2.19 | 0.00 | 8.38 | 85% |
| All Time | 0.00 | 6.19 | 4.20 | 0.00 | 10.39 | 89% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2025 | Abadie’s Kappa and Weighting Estimators of the Local Average Treatment Effect | Journal of Business & Economic Statistics | A | 3 |
| 2022 | Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights | Review of Economics and Statistics | A | 1 |
| 2020 | Landscape Change and Trade in Ancient Greece: Evidence from Pollen Data | Economic Journal | A | 5 |
| 2019 | Mostly harmless simulations? Using Monte Carlo studies for estimator selection | Journal of Applied Econometrics | B | 3 |
| 2018 | A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS | Econometric Theory | B | 2 |
| 2016 | On the use of palynological data in economic history: New methods and an application to agricultural output in Central Europe, 0–2000AD | Explorations in Economic History | B | 4 |
| 2015 | The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator | Oxford Bulletin of Economics and Statistics | B | 1 |