Institution: University of Essex
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 | 6.05 | 0.00 | 0.00 | 10.09 | 95% |
| Last 10 Years | 4.04 | 16.15 | 2.02 | 0.00 | 22.20 | 98% |
| All Time | 4.04 | 18.16 | 2.02 | 0.00 | 24.22 | 95% |
| Year | Article | Journal | Tier | Authors |
|---|---|---|---|---|
| 2023 | Efficient closed-form estimation of large spatial autoregressions | Journal of Econometrics | A | 1 |
| 2023 | Household sorting in an ancient setting | Journal of Urban Economics | A | 2 |
| 2023 | Robust Inference on Infinite and Growing Dimensional Time‐Series Regression | Econometrica | S | 2 |
| 2019 | ESTIMATION OF SPATIAL AUTOREGRESSIONS WITH STOCHASTIC WEIGHT MATRICES | Econometric Theory | B | 1 |
| 2018 | Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension | Journal of Econometrics | A | 2 |
| 2018 | Nonparametric specification testing via the trinity of tests | Journal of Econometrics | A | 1 |
| 2018 | Autoregressive spatial spectral estimates | Journal of Econometrics | A | 1 |
| 2015 | Inference on higher-order spatial autoregressive models with increasingly many parameters | Journal of Econometrics | A | 2 |